diff --git a/README.md b/README.md
index 909b988c..368ffc16 100644
--- a/README.md
+++ b/README.md
@@ -31,9 +31,9 @@ This curated list contains 840 awesome open-source projects with a total of 2.7M
## Contents
-- [Machine Learning Frameworks](#machine-learning-frameworks) _53 projects_
-- [Data Visualization](#data-visualization) _47 projects_
-- [Text Data & NLP](#text-data--nlp) _83 projects_
+- [Machine Learning Frameworks](#machine-learning-frameworks) _54 projects_
+- [Data Visualization](#data-visualization) _48 projects_
+- [Text Data & NLP](#text-data--nlp) _82 projects_
- [Image Data](#image-data) _49 projects_
- [Graph Data](#graph-data) _29 projects_
- [Audio Data](#audio-data) _23 projects_
@@ -41,19 +41,19 @@ This curated list contains 840 awesome open-source projects with a total of 2.7M
- [Financial Data](#financial-data) _23 projects_
- [Time Series Data](#time-series-data) _20 projects_
- [Medical Data](#medical-data) _19 projects_
-- [Optical Character Recognition](#optical-character-recognition) _10 projects_
+- [Optical Character Recognition](#optical-character-recognition) _11 projects_
- [Data Containers & Structures](#data-containers--structures) _28 projects_
- [Data Loading & Extraction](#data-loading--extraction) _23 projects_
- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_
-- [Data Pipelines & Streaming](#data-pipelines--streaming) _34 projects_
+- [Data Pipelines & Streaming](#data-pipelines--streaming) _35 projects_
- [Distributed Machine Learning](#distributed-machine-learning) _26 projects_
- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _45 projects_
- [Reinforcement Learning](#reinforcement-learning) _19 projects_
- [Recommender Systems](#recommender-systems) _14 projects_
- [Privacy Machine Learning](#privacy-machine-learning) _6 projects_
-- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _36 projects_
+- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _35 projects_
- [Model Serialization & Conversion](#model-serialization--conversion) _11 projects_
-- [Model Interpretability](#model-interpretability) _44 projects_
+- [Model Interpretability](#model-interpretability) _45 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _12 projects_
- [Probabilistics & Statistics](#probabilistics--statistics) _21 projects_
- [Adversarial Robustness](#adversarial-robustness) _8 projects_
@@ -98,12 +98,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯44 Β· β 150K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 3.5K Β· π 84K Β· π¦ 120K Β· π 30K - 14% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 3.5K Β· π 84K Β· π¦ 120K Β· π 30K - 14% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 4.6M / month Β· π¦ 23K Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 4.1M / month Β· π¦ 23K Β· β±οΈ 21.01.2021):
```
pip install tensorflow
```
@@ -111,67 +111,67 @@ _General-purpose machine learning and deep learning frameworks._
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 47M Β· β 1.8K Β· β±οΈ 21.01.2021):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 47M Β· β 1.8K Β· β±οΈ 27.01.2021):
```
docker pull tensorflow/tensorflow
```
scikit-learn (π₯41 Β· β 44K) - scikit-learn: machine learning in Python. BSD-3 
+PyTorch (π₯39 Β· β 46K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 2.1K Β· π 21K Β· π₯ 640 Β· π¦ 180K Β· π 9K - 25% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 2.5K Β· π 12K Β· π¦ 60K Β· π 20K - 35% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/scikit-learn/scikit-learn
+ git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 9.4M / month Β· π¦ 38K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/torch) (π₯ 1.3M / month Β· π¦ 6.7K Β· β±οΈ 10.12.2020):
```
- pip install scikit-learn
+ pip install torch
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 6.4M Β· β±οΈ 19.01.2021):
+- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 9.9M Β· β±οΈ 10.12.2020):
```
- conda install -c conda-forge scikit-learn
+ conda install -c pytorch pytorch
```
PyTorch (π₯39 Β· β 46K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
+PySpark (π₯38 Β· β 29K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 2.5K Β· π 12K Β· π¦ 59K Β· π 20K - 35% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.4K Β· π 23K Β· π¦ 560 Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/pytorch/pytorch
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 1.5M / month Β· π¦ 6.7K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 5.5M / month Β· π¦ 760 Β· β±οΈ 07.09.2020):
```
- pip install torch
+ pip install pyspark
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 9.8M Β· β±οΈ 10.12.2020):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 880K Β· β±οΈ 07.09.2020):
```
- conda install -c pytorch pytorch
+ conda install -c conda-forge pyspark
```
PySpark (π₯38 Β· β 29K) - Apache Spark Python API. Apache-2
+scikit-learn (π₯37 Β· β 44K Β· π) - scikit-learn: machine learning in Python. BSD-3
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.4K Β· π 23K Β· π¦ 550 Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 2.1K Β· π 21K Β· π₯ 640 Β· π¦ 190K Β· π 8.9K - 25% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/apache/spark
+ git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 6.3M / month Β· π¦ 760 Β· β±οΈ 07.09.2020):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 8.4M / month Β· π¦ 38K Β· β±οΈ 19.01.2021):
```
- pip install pyspark
+ pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 870K Β· β±οΈ 07.09.2020):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 6.5M Β· β±οΈ 21.01.2021):
```
- conda install -c conda-forge pyspark
+ conda install -c conda-forge scikit-learn
```
StatsModels (π₯36 Β· β 5.9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+StatsModels (π₯36 Β· β 6K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 300 Β· π 2.1K Β· π₯ 25 Β· π¦ 36K Β· π 4.3K - 47% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 300 Β· π 2.1K Β· π₯ 25 Β· π¦ 36K Β· π 4.3K - 47% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 1.8M / month Β· π¦ 6.7K Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 1.6M / month Β· π¦ 6.7K Β· β±οΈ 29.10.2020):
```
pip install statsmodels
```
@@ -182,12 +182,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (π₯35 Β· β 51K) - Deep Learning for humans. MIT
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 900 Β· π 19K Β· π 10K - 30% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 900 Β· π 19K Β· π 10K - 30% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 1.6M / month Β· π¦ 15K Β· β±οΈ 24.06.2020):
+- [PyPi](https://pypi.org/project/keras) (π₯ 1.5M / month Β· π¦ 15K Β· β±οΈ 24.06.2020):
```
pip install keras
```
@@ -198,12 +198,12 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (π₯35 Β· β 20K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 500 Β· π 7.9K Β· π₯ 1.9K Β· π¦ 13K Β· π 3.9K - 6% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 500 Β· π 7.9K Β· π₯ 1.9K Β· π¦ 13K Β· π 3.9K - 6% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 2.3M / month Β· π¦ 1.6K Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 2M / month Β· π¦ 1.6K Β· β±οΈ 20.01.2021):
```
pip install xgboost
```
@@ -214,12 +214,12 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (π₯35 Β· β 12K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 200 Β· π 3.2K Β· π₯ 87K Β· π¦ 5.3K Β· π 2.1K - 4% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 200 Β· π 3.2K Β· π₯ 90K Β· π¦ 5.4K Β· π 2.1K - 4% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 1.3M / month Β· π¦ 560 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 1.1M / month Β· π¦ 560 Β· β±οΈ 08.12.2020):
```
pip install lightgbm
```
@@ -230,12 +230,12 @@ _General-purpose machine learning and deep learning frameworks._
MXNet (π₯34 Β· β 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 
-- [GitHub](https://github.com/apache/incubator-mxnet) (π¨βπ» 950 Β· π 6.8K Β· π₯ 23K Β· π¦ 1.7K Β· π 9.4K - 19% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/apache/incubator-mxnet) (π¨βπ» 950 Β· π 6.8K Β· π₯ 23K Β· π¦ 1.8K Β· π 9.4K - 19% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/apache/incubator-mxnet
```
-- [PyPi](https://pypi.org/project/mxnet) (π₯ 140K / month Β· π¦ 440 Β· β±οΈ 28.08.2020):
+- [PyPi](https://pypi.org/project/mxnet) (π₯ 110K / month Β· π¦ 440 Β· β±οΈ 28.08.2020):
```
pip install mxnet
```
@@ -251,99 +251,99 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 180K / month Β· π¦ 5.5K Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 160K / month Β· π¦ 5.5K Β· β±οΈ 27.07.2020):
```
pip install theano
```
-- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 1.3M Β· β±οΈ 01.11.2020):
+- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 1.3M Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge theano
```
PyFlink (π₯33 Β· β 15K Β· β) - Apache Flink Python API. Apache-2
+PyFlink (π₯33 Β· β 15K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.2K Β· π 8.3K Β· π¦ 240 Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.2K Β· π 8.5K Β· π¦ 240 Β· β±οΈ 28.01.2021):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 2.5K / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 1.8K / month Β· β±οΈ 15.01.2021):
```
pip install apache-flink
```
pytorch-lightning (π₯33 Β· β 12K) - The lightweight PyTorch wrapper for high-performance.. Apache-2
-- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (π¨βπ» 370 Β· π 1.3K Β· π₯ 39 Β· π¦ 1.7K Β· π 2.8K - 11% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (π¨βπ» 370 Β· π 1.3K Β· π₯ 69 Β· π¦ 1.8K Β· π 2.8K - 11% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/PyTorchLightning/pytorch-lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 91K / month Β· π¦ 14 Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 89K / month Β· π¦ 14 Β· β±οΈ 26.01.2021):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 15K Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 20K Β· β±οΈ 26.01.2021):
```
conda install -c conda-forge pytorch-lightning
```
Fastai (π₯32 Β· β 20K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 470 Β· π 6.9K Β· π 1.4K - 4% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 470 Β· π 6.9K Β· π 1.4K - 4% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 130K / month Β· π¦ 370 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 110K / month Β· π¦ 370 Β· β±οΈ 13.01.2021):
```
pip install fastai
```
jax (π₯32 Β· β 11K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/google/jax) (π¨βπ» 240 Β· π 950 Β· π¦ 1K Β· π 2.1K - 34% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 250 Β· π 960 Β· π¦ 1K Β· π 2.1K - 34% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 64K / month Β· π¦ 46 Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/jax) (π₯ 60K / month Β· π¦ 46 Β· β±οΈ 27.01.2021):
```
pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 69K Β· β±οΈ 18.01.2021):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 71K Β· β±οΈ 18.01.2021):
```
conda install -c conda-forge jaxlib
```
Thinc (π₯32 Β· β 2.2K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 36 Β· π 200 Β· π¦ 11K Β· π 100 - 16% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 36 Β· π 200 Β· π¦ 11K Β· π 96 - 9% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 770K / month Β· π¦ 1.1K Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 700K / month Β· π¦ 1.1K Β· β±οΈ 24.01.2021):
```
pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 850K Β· β±οΈ 18.12.2020):
+- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 860K Β· β±οΈ 25.01.2021):
```
conda install -c conda-forge thinc
```
Catboost (π₯31 Β· β 5.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+Catboost (π₯31 Β· β 5.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 730 Β· π 860 Β· π₯ 48K Β· π 1.3K - 22% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 730 Β· π 860 Β· π₯ 48K Β· π 1.3K - 23% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 660K / month Β· π¦ 160 Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 540K / month Β· π¦ 160 Β· β±οΈ 27.12.2020):
```
pip install catboost
```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 550K Β· β±οΈ 29.12.2020):
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 560K Β· β±οΈ 29.12.2020):
```
conda install -c conda-forge catboost
```
@@ -355,43 +355,43 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/chainer/chainer
```
-- [PyPi](https://pypi.org/project/chainer) (π₯ 17K / month Β· π¦ 740 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/chainer) (π₯ 14K / month Β· π¦ 740 Β· β±οΈ 13.01.2021):
```
pip install chainer
```
TFlearn (π₯30 Β· β 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT
-- [GitHub](https://github.com/tflearn/tflearn) (π¨βπ» 130 Β· π 2.4K Β· π¦ 2.9K Β· π 930 - 61% open Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/tflearn/tflearn) (π¨βπ» 130 Β· π 2.4K Β· π¦ 3K Β· π 930 - 61% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/tflearn/tflearn
```
-- [PyPi](https://pypi.org/project/tflearn) (π₯ 11K / month Β· π¦ 480 Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/tflearn) (π₯ 9.3K / month Β· π¦ 480 Β· β±οΈ 11.11.2020):
```
pip install tflearn
```
Vowpal Wabbit (π₯30 Β· β 7.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 300 Β· π 1.7K Β· π¦ 94 Β· π 1K - 15% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 300 Β· π 1.7K Β· π¦ 97 Β· π 1K - 15% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 19K / month Β· π¦ 16 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 17K / month Β· π¦ 16 Β· β±οΈ 12.11.2020):
```
pip install vowpalwabbit
```
PaddlePaddle (π₯29 Β· β 14K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 490 Β· π 3.4K Β· π₯ 15K Β· π¦ 26 Β· π 13K - 18% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 490 Β· π 3.4K Β· π₯ 15K Β· π¦ 26 Β· π 13K - 18% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 5.6K / month Β· π¦ 16 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 4.7K / month Β· π¦ 16 Β· β±οΈ 25.01.2021):
```
pip install paddlepaddle
```
@@ -403,47 +403,47 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/apple/turicreate
```
-- [PyPi](https://pypi.org/project/turicreate) (π₯ 12K / month Β· π¦ 34 Β· β±οΈ 30.09.2020):
+- [PyPi](https://pypi.org/project/turicreate) (π₯ 9.2K / month Β· π¦ 34 Β· β±οΈ 30.09.2020):
```
pip install turicreate
```
tensorpack (π₯29 Β· β 5.9K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
+Sonnet (π₯28 Β· β 8.7K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 55 Β· π 1.7K Β· π₯ 100 Β· π¦ 670 Β· π 1.3K - 0% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/deepmind/sonnet) (π¨βπ» 48 Β· π 1.3K Β· π¦ 490 Β· π 150 - 11% open Β· β±οΈ 08.10.2020):
```
- git clone https://github.com/tensorpack/tensorpack
+ git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 92K / month Β· π¦ 76 Β· β±οΈ 24.04.2020):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 34K / month Β· π¦ 82 Β· β±οΈ 27.03.2020):
```
- pip install tensorpack
+ pip install dm-sonnet
+ ```
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 7K Β· β±οΈ 14.11.2020):
+ ```
+ conda install -c conda-forge sonnet
```
Sonnet (π₯28 Β· β 8.7K) - TensorFlow-based neural network library. Apache-2
+tensorpack (π₯28 Β· β 5.9K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
-- [GitHub](https://github.com/deepmind/sonnet) (π¨βπ» 48 Β· π 1.3K Β· π¦ 480 Β· π 150 - 11% open Β· β±οΈ 08.10.2020):
+- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 55 Β· π 1.8K Β· π₯ 110 Β· π¦ 670 Β· π 1.3K - 1% open Β· β±οΈ 22.01.2021):
```
- git clone https://github.com/deepmind/sonnet
- ```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 47K / month Β· π¦ 82 Β· β±οΈ 27.03.2020):
- ```
- pip install dm-sonnet
+ git clone https://github.com/tensorpack/tensorpack
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 6.9K Β· β±οΈ 14.11.2020):
+- [PyPi](https://pypi.org/project/tensorpack) (π₯ 49K / month Β· π¦ 76 Β· β±οΈ 22.01.2021):
```
- conda install -c conda-forge sonnet
+ pip install tensorpack
```
dyNET (π₯28 Β· β 3.2K Β· π) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
+dyNET (π₯28 Β· β 3.2K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 690 Β· π₯ 1.5K Β· π¦ 160 Β· π 920 - 27% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 690 Β· π₯ 1.6K Β· π¦ 170 Β· π 920 - 27% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/clab/dynet
```
-- [PyPi](https://pypi.org/project/dyNET) (π₯ 4.5K / month Β· π¦ 38 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 4.4K / month Β· π¦ 38 Β· β±οΈ 21.10.2020):
```
pip install dyNET
```
@@ -460,9 +460,9 @@ _General-purpose machine learning and deep learning frameworks._
pip install cntk
```
skorch (π₯27 Β· β 3.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+skorch (π₯27 Β· β 3.8K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 39 Β· π 270 Β· π¦ 260 Β· π 360 - 13% open Β· β±οΈ 25.12.2020):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 39 Β· π 270 Β· π¦ 260 Β· π 360 - 13% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/skorch-dev/skorch
@@ -471,19 +471,19 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install skorch
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 160K Β· β±οΈ 19.09.2020):
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 170K Β· β±οΈ 19.09.2020):
```
conda install -c conda-forge skorch
```
Ignite (π₯27 Β· β 3.2K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 120 Β· π 400 Β· π¦ 700 Β· π 700 - 14% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 120 Β· π 410 Β· π¦ 720 Β· π 700 - 13% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 35K / month Β· π¦ 62 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 31K / month Β· π¦ 62 Β· β±οΈ 24.01.2021):
```
pip install pytorch-ignite
```
@@ -492,26 +492,42 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c pytorch ignite
```
Jina (π₯27 Β· β 2K) - An easier way to build neural search in the cloud. Apache-2
+
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 84 Β· π 320 Β· π¦ 45 Β· π 620 - 7% open Β· β±οΈ 28.01.2021):
+
+ ```
+ git clone https://github.com/jina-ai/jina
+ ```
+- [PyPi](https://pypi.org/project/jina) (π₯ 2K / month Β· β±οΈ 27.01.2021):
+ ```
+ pip install jina
+ ```
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 89K Β· β±οΈ 28.01.2021):
+ ```
+ docker pull jinaai/jina
+ ```
+Flax (π₯27 Β· β 1.4K) - Flax is a neural network ecosystem for JAX that is designed for.. Apache-2 jax
-- [GitHub](https://github.com/google/flax) (π¨βπ» 70 Β· π 160 Β· π₯ 20 Β· π¦ 89 Β· π 290 - 56% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 71 Β· π 160 Β· π₯ 20 Β· π¦ 91 Β· π 300 - 53% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 48K / month Β· π¦ 6 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/flax) (π₯ 44K / month Β· π¦ 6 Β· β±οΈ 08.12.2020):
```
pip install flax
```
mlpack (π₯26 Β· β 3.5K) - mlpack: a scalable C++ machine learning library --. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 260 Β· π 1.3K Β· π 1.3K - 11% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 260 Β· π 1.3K Β· π 1.4K - 11% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 170 / month Β· β±οΈ 28.10.2020):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 100 / month Β· β±οΈ 28.10.2020):
```
pip install mlpack
```
@@ -522,43 +538,43 @@ _General-purpose machine learning and deep learning frameworks._
Ludwig (π₯25 Β· β 7.5K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 86 Β· π 880 Β· π¦ 75 Β· π 520 - 21% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 86 Β· π 880 Β· π¦ 76 Β· π 520 - 21% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 1.1K / month Β· π¦ 12 Β· β±οΈ 16.11.2020):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 1K / month Β· π¦ 12 Β· β±οΈ 16.11.2020):
```
pip install ludwig
```
Neural Network Libraries (π₯25 Β· β 2.4K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 55 Β· π 300 Β· π₯ 520 Β· π 53 - 66% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 55 Β· π 300 Β· π₯ 520 Β· π 54 - 64% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 2.4K / month Β· π¦ 34 Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 1.3K / month Β· π¦ 34 Β· β±οΈ 24.12.2020):
```
pip install nnabla
```
tensorflow-upstream (π₯25 Β· β 530) - TensorFlow ROCm port. Apache-2
+xLearn (π₯24 Β· β 2.8K Β· π€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
-- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 3.5K Β· π 64 Β· π₯ 16 Β· π 280 - 19% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/aksnzhy/xlearn) (π¨βπ» 30 Β· π 490 Β· π₯ 2.3K Β· π¦ 40 Β· π 280 - 62% open Β· β±οΈ 03.03.2020):
```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ git clone https://github.com/aksnzhy/xlearn
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 1.6K / month Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/xlearn) (π₯ 5.4K / month Β· π¦ 1 Β· β±οΈ 04.12.2018):
```
- pip install tensorflow-rocm
+ pip install xlearn
```
einops (π₯24 Β· β 2.2K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
+einops (π₯24 Β· β 2.3K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 10 Β· π 74 Β· π¦ 200 Β· π 62 - 35% open Β· β±οΈ 09.01.2021):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 10 Β· π 76 Β· π¦ 210 Β· π 63 - 34% open Β· β±οΈ 09.01.2021):
```
git clone https://github.com/arogozhnikov/einops
@@ -567,33 +583,33 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 3.5K Β· β±οΈ 15.10.2020):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 3.6K Β· β±οΈ 15.10.2020):
```
conda install -c conda-forge einops
```
ktrain (π₯24 Β· β 720) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+ktrain (π₯24 Β· β 730) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 12 Β· π 170 Β· π¦ 110 Β· π 290 - 3% open Β· β±οΈ 26.12.2020):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 12 Β· π 180 Β· π¦ 110 Β· π 300 - 2% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 5.2K / month Β· π¦ 1 Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 28.01.2021):
```
pip install ktrain
```
xLearn (π₯23 Β· β 2.8K Β· π€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
+tensorflow-upstream (π₯24 Β· β 530) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/aksnzhy/xlearn) (π¨βπ» 30 Β· π 480 Β· π₯ 2.3K Β· π¦ 40 Β· π 280 - 62% open Β· β±οΈ 03.03.2020):
+- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 3.5K Β· π 64 Β· π₯ 16 Β· π 280 - 19% open Β· β±οΈ 27.01.2021):
```
- git clone https://github.com/aksnzhy/xlearn
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/xlearn) (π₯ 6.4K / month Β· π¦ 1 Β· β±οΈ 04.12.2018):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 1.1K / month Β· β±οΈ 22.12.2020):
```
- pip install xlearn
+ pip install tensorflow-rocm
```
SHOGUN (π₯23 Β· β 2.8K) - Unified and efficient Machine Learning. BSD-3
@@ -614,12 +630,12 @@ _General-purpose machine learning and deep learning frameworks._
fklearn (π₯22 Β· β 1.3K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 35 Β· π 150 Β· π¦ 9 Β· π 38 - 50% open Β· β±οΈ 20.11.2020):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 37 Β· π 150 Β· π¦ 9 Β· π 38 - 50% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 4.8K / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 3.7K / month Β· β±οΈ 02.10.2020):
```
pip install fklearn
```
@@ -634,31 +650,31 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (π₯21 Β· β 1.3K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 16 Β· π 140 Β· π₯ 100 Β· π¦ 12 Β· π 74 - 33% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 17 Β· π 150 Β· π₯ 100 Β· π¦ 13 Β· π 77 - 36% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 510 / month Β· β±οΈ 18.11.2020):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 400 / month Β· β±οΈ 25.01.2021):
```
pip install neural-tangents
```
ThunderSVM (π₯20 Β· β 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 33 Β· π 160 Β· π₯ 2.1K Β· π 190 - 22% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 33 Β· π 160 Β· π₯ 2.1K Β· π 190 - 22% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 370 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 320 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
Haiku (π₯20 Β· β 910) - JAX-based neural network library. Apache-2
+Haiku (π₯20 Β· β 920) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/deepmind/dm-haiku) (π¨βπ» 34 Β· π 63 Β· π¦ 57 Β· π 66 - 27% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/deepmind/dm-haiku) (π¨βπ» 35 Β· π 63 Β· π¦ 58 Β· π 66 - 27% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/deepmind/dm-haiku
@@ -666,55 +682,55 @@ _General-purpose machine learning and deep learning frameworks._
Torchbearer (π₯18 Β· β 580 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
-- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 13 Β· π 62 Β· π¦ 37 Β· π 240 - 3% open Β· β±οΈ 17.02.2020):
+- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 13 Β· π 62 Β· π¦ 38 Β· π 240 - 3% open Β· β±οΈ 17.02.2020):
```
git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 180 / month Β· π¦ 3 Β· β±οΈ 31.01.2020):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 150 / month Β· π¦ 3 Β· β±οΈ 31.01.2020):
```
pip install torchbearer
```
Objax (π₯18 Β· β 550 Β· π£) - Objax is a machine learning framework that provides an Object.. Apache-2 jax
+Objax (π₯17 Β· β 560 Β· π£) - Objax is a machine learning framework that provides an Object.. Apache-2 jax
-- [GitHub](https://github.com/google/objax) (π¨βπ» 19 Β· π 42 Β· π¦ 5 Β· π 79 - 39% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/google/objax) (π¨βπ» 19 Β· π 42 Β· π¦ 5 Β· π 79 - 39% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/google/objax
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 200 / month Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/objax) (π₯ 140 / month Β· β±οΈ 02.11.2020):
```
pip install objax
```
elegy (π₯17 Β· β 150) - Elegy is a Neural Networks framework based on Jax and inspired.. Apache-2 jax
+ThunderGBM (π₯16 Β· β 580) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/poets-ai/elegy) (π¨βπ» 12 Β· π 10 Β· π 49 - 30% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 10 Β· π 71 Β· π 46 - 43% open Β· β±οΈ 05.01.2021):
```
- git clone https://github.com/poets-ai/elegy
+ git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/elegy) (π₯ 190 / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 65 / month Β· β±οΈ 01.05.2020):
```
- pip install elegy
+ pip install thundergbm
```
ThunderGBM (π₯16 Β· β 580) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+elegy (π₯16 Β· β 150) - Elegy is a Neural Networks framework based on Jax and inspired.. Apache-2 jax
-- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 10 Β· π 71 Β· π 46 - 43% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/poets-ai/elegy) (π¨βπ» 12 Β· π 10 Β· π 50 - 30% open Β· β±οΈ 22.01.2021):
```
- git clone https://github.com/Xtra-Computing/thundergbm
+ git clone https://github.com/poets-ai/elegy
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 99 / month Β· β±οΈ 01.05.2020):
+- [PyPi](https://pypi.org/project/elegy) (π₯ 120 / month Β· β±οΈ 17.12.2020):
```
- pip install thundergbm
+ pip install elegy
```
NeoML (π₯13 Β· β 560) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 16 Β· π 79 Β· π 29 - 55% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 16 Β· π 79 Β· π 29 - 55% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/neoml-lib/neoml
@@ -722,8 +738,8 @@ _General-purpose machine learning and deep learning frameworks._
Show 7 hidden projects...
-- dlib (π₯33 Β· β 9.8K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
-- NuPIC (π₯25 Β· β 6.2K Β· π) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
+- dlib (π₯32 Β· β 9.8K Β· π) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
+- NuPIC (π₯24 Β· β 6.2K Β· π) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
- Lasagne (π₯24 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- MindsDB (π₯20 Β· β 3.2K) - Predictive AI layer for existing databases. βοΈGPL-3.0 Matplotlib (π₯41 Β· β 13K) - matplotlib: plotting with Python. Python-2.0
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.2K Β· π 5.6K Β· π¦ 320K Β· π 7.6K - 21% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.2K Β· π 5.6K Β· π¦ 320K Β· π 7.6K - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 8.4M / month Β· π¦ 79K Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 7.2M / month Β· π¦ 79K Β· β±οΈ 12.11.2020):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 7.8M Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 7.9M Β· β±οΈ 14.01.2021):
```
conda install -c conda-forge matplotlib
```
Plotly (π₯35 Β· β 8.7K) - The interactive graphing library for Python (includes Plotly Express). MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 160 Β· π 1.7K Β· π¦ 5 Β· π 1.8K - 42% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 160 Β· π 1.7K Β· π¦ 5 Β· π 1.8K - 43% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 2.4M / month Β· π¦ 5K Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 2.1M / month Β· π¦ 5K Β· β±οΈ 12.01.2021):
```
pip install plotly
```
@@ -769,51 +785,51 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge plotly
```
-- [NPM](https://www.npmjs.com/package/plotlywidget) (π₯ 95K / month Β· π¦ 4 Β· β±οΈ 12.01.2021):
+- [NPM](https://www.npmjs.com/package/plotlywidget) (π₯ 150K / month Β· π¦ 4 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
Seaborn (π₯35 Β· β 8K) - Statistical data visualization using matplotlib. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 150 Β· π 1.4K Β· π₯ 120 Β· π¦ 78K Β· π 1.8K - 4% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 150 Β· π 1.4K Β· π₯ 120 Β· π¦ 79K Β· π 1.8K - 4% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 1.6M / month Β· π¦ 13K Β· β±οΈ 20.12.2020):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 1.5M / month Β· π¦ 13K Β· β±οΈ 20.12.2020):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 1.9M Β· β±οΈ 21.12.2020):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 1.9M Β· β±οΈ 28.01.2021):
```
conda install -c conda-forge seaborn
```
dash (π₯34 Β· β 14K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 72 Β· π 1.4K Β· π¦ 17K Β· π 960 - 41% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 72 Β· π 1.4K Β· π¦ 17K Β· π 960 - 42% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 210K / month Β· π¦ 1.6K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/dash) (π₯ 190K / month Β· π¦ 1.6K Β· β±οΈ 19.01.2021):
```
pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 210K Β· β±οΈ 11.12.2020):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 210K Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge dash
```
Bokeh (π₯33 Β· β 15K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 550 Β· π 3.6K Β· π¦ 30K Β· π 6.3K - 9% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 550 Β· π 3.6K Β· π¦ 30K Β· π 6.4K - 9% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 980K / month Β· π¦ 5.9K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 840K / month Β· π¦ 5.9K Β· β±οΈ 19.01.2021):
```
pip install bokeh
```
@@ -824,24 +840,24 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (π₯31 Β· β 10K) - Python Echarts Plotting Library. MIT 
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 30 Β· π 2.3K Β· π¦ 1.4K Β· π 1.4K - 1% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 30 Β· π 2.3K Β· π¦ 1.5K Β· π 1.4K - 1% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 28K / month Β· π¦ 280 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 20K / month Β· π¦ 280 Β· β±οΈ 29.10.2020):
```
pip install pyecharts
```
wordcloud (π₯31 Β· β 7.8K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 58 Β· π 2K Β· π¦ 8.5K Β· π 440 - 22% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 58 Β· π 2K Β· π¦ 8.6K Β· π 440 - 22% open Β· β±οΈ 11.11.2020):
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 210K / month Β· π¦ 1.1K Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 190K / month Β· π¦ 1.1K Β· β±οΈ 11.11.2020):
```
pip install wordcloud
```
@@ -852,71 +868,71 @@ _General-purpose and task-specific data visualization libraries._
Altair (π₯31 Β· β 6.4K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 120 Β· π 570 Β· π¦ 7.4K Β· π 1.5K - 19% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 120 Β· π 570 Β· π¦ 7.6K Β· π 1.5K - 19% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 610K / month Β· π¦ 370 Β· β±οΈ 01.04.2020):
+- [PyPi](https://pypi.org/project/altair) (π₯ 540K / month Β· π¦ 370 Β· β±οΈ 01.04.2020):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 580K Β· β±οΈ 01.04.2020):
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 590K Β· β±οΈ 01.04.2020):
```
conda install -c conda-forge altair
```
bqplot (π₯30 Β· β 3K) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 51 Β· π 400 Β· π¦ 1.2K Β· π 500 - 37% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 51 Β· π 400 Β· π¦ 1.2K Β· π 500 - 36% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 11K / month Β· π¦ 110 Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 12K / month Β· π¦ 110 Β· β±οΈ 14.01.2021):
```
pip install bqplot
```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 460K Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 470K Β· β±οΈ 14.01.2021):
```
conda install -c conda-forge bqplot
```
-- [NPM](https://www.npmjs.com/package/bqplot) (π₯ 120K / month Β· π¦ 10 Β· β±οΈ 14.01.2021):
+- [NPM](https://www.npmjs.com/package/bqplot) (π₯ 130K / month Β· π¦ 10 Β· β±οΈ 14.01.2021):
```
npm install bqplot
```
pandas-profiling (π₯29 Β· β 6.6K) - Create HTML profiling reports from pandas DataFrame.. MIT 
-- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (π¨βπ» 65 Β· π 980 Β· π¦ 2.9K Β· π 410 - 14% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (π¨βπ» 65 Β· π 980 Β· π¦ 2.9K Β· π 420 - 14% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/pandas-profiling/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 180K / month Β· π¦ 160 Β· β±οΈ 03.09.2020):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 150K / month Β· π¦ 160 Β· β±οΈ 03.09.2020):
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 98K Β· β±οΈ 09.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 99K Β· β±οΈ 09.01.2021):
```
conda install -c conda-forge pandas-profiling
```
UMAP (π₯29 Β· β 4.4K) - Uniform Manifold Approximation and Projection. BSD-3
+UMAP (π₯29 Β· β 4.5K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 69 Β· π 480 Β· π 420 - 48% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 69 Β· π 480 Β· π 420 - 48% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 120K / month Β· π¦ 230 Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 110K / month Β· π¦ 230 Β· β±οΈ 11.01.2021):
```
pip install umap-learn
```
PyQtGraph (π₯29 Β· β 2.3K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 180 Β· π 810 Β· π 720 - 39% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 180 Β· π 810 Β· π 740 - 38% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pyqtgraph/pyqtgraph
@@ -932,44 +948,44 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (π₯29 Β· β 1.8K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 100 Β· π 300 Β· π 2.5K - 27% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 100 Β· π 300 Β· π 2.5K - 27% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 73K / month Β· π¦ 170 Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 67K / month Β· π¦ 170 Β· β±οΈ 27.12.2020):
```
pip install holoviews
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 400K Β· β±οΈ 28.12.2020):
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 410K Β· β±οΈ 28.12.2020):
```
conda install -c conda-forge holoviews
```
-- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 6.7K / month Β· β±οΈ 24.05.2020):
+- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 7.3K / month Β· β±οΈ 24.05.2020):
```
npm install @pyviz/jupyterlab_pyviz
```
Graphviz (π₯29 Β· β 900) - Simple Python interface for Graphviz. MIT
+Graphviz (π₯29 Β· β 910) - Simple Python interface for Graphviz. MIT
- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 16 Β· π 140 Β· π¦ 17K Β· π 100 - 4% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 2.3M / month Β· π¦ 4.4K Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 2.1M / month Β· π¦ 4.4K Β· β±οΈ 24.12.2020):
```
pip install graphviz
```
VisPy (π₯28 Β· β 2.6K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 140 Β· π 540 Β· π¦ 440 Β· π 1.1K - 31% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 140 Β· π 540 Β· π¦ 450 Β· π 1.1K - 31% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 13K / month Β· π¦ 120 Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 12K / month Β· π¦ 120 Β· β±οΈ 28.11.2020):
```
pip install vispy
```
@@ -984,16 +1000,16 @@ _General-purpose and task-specific data visualization libraries._
datashader (π₯28 Β· β 2.4K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 43 Β· π 310 Β· π¦ 560 Β· π 460 - 31% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 43 Β· π 310 Β· π¦ 570 Β· π 460 - 31% open Β· β±οΈ 17.01.2021):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 9.6K / month Β· π¦ 70 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 9.4K / month Β· π¦ 70 Β· β±οΈ 07.01.2021):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 130K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 140K Β· β±οΈ 08.01.2021):
```
conda install -c conda-forge datashader
```
@@ -1005,74 +1021,74 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/ResidentMario/missingno
```
-- [PyPi](https://pypi.org/project/missingno) (π₯ 150K / month Β· π¦ 76 Β· β±οΈ 29.06.2018):
+- [PyPi](https://pypi.org/project/missingno) (π₯ 120K / month Β· π¦ 76 Β· β±οΈ 29.06.2018):
```
pip install missingno
```
-- [Conda](https://anaconda.org/conda-forge/missingno) (π₯ 69K Β· β±οΈ 15.02.2020):
+- [Conda](https://anaconda.org/conda-forge/missingno) (π₯ 70K Β· β±οΈ 15.02.2020):
```
conda install -c conda-forge missingno
```
data-validation (π₯27 Β· β 500) - Library for exploring and validating machine learning.. Apache-2
+data-validation (π₯27 Β· β 510) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 20 Β· π 94 Β· π₯ 200 Β· π¦ 220 Β· π 110 - 34% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 20 Β· π 94 Β· π₯ 200 Β· π¦ 220 Β· π 110 - 34% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 6M / month Β· π¦ 18 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 5.1M / month Β· π¦ 18 Β· β±οΈ 17.12.2020):
```
pip install tensorflow-data-validation
```
Perspective (π₯26 Β· β 3.1K) - Streaming pivot visualization via WebAssembly. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 61 Β· π 340 Β· π¦ 170 Β· π 370 - 19% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 61 Β· π 340 Β· π¦ 170 Β· π 380 - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 480 / month Β· π¦ 4 Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 450 / month Β· π¦ 4 Β· β±οΈ 14.01.2021):
```
pip install perspective-python
```
-- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 1K / month Β· β±οΈ 08.01.2021):
+- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 1.2K / month Β· β±οΈ 08.01.2021):
```
npm install @finos/perspective-jupyterlab
```
Cufflinks (π₯26 Β· β 2.1K) - Productivity Tools for Plotly + Pandas. MIT
-- [GitHub](https://github.com/santosjorge/cufflinks) (π¨βπ» 37 Β· π 530 Β· π¦ 2.6K Β· π 200 - 40% open Β· β±οΈ 07.10.2020):
+- [GitHub](https://github.com/santosjorge/cufflinks) (π¨βπ» 37 Β· π 540 Β· π¦ 2.6K Β· π 200 - 40% open Β· β±οΈ 07.10.2020):
```
git clone https://github.com/santosjorge/cufflinks
```
-- [PyPi](https://pypi.org/project/cufflinks) (π₯ 46K / month Β· π¦ 230 Β· β±οΈ 01.03.2020):
+- [PyPi](https://pypi.org/project/cufflinks) (π₯ 42K / month Β· π¦ 230 Β· β±οΈ 01.03.2020):
```
pip install cufflinks
```
PyVista (π₯26 Β· β 660) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
+PyVista (π₯26 Β· β 670) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 50 Β· π 130 Β· π₯ 41 Β· π¦ 240 Β· π 380 - 30% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 53 Β· π 140 Β· π₯ 41 Β· π¦ 240 Β· π 400 - 32% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 7K / month Β· π¦ 26 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 7.5K / month Β· π¦ 26 Β· β±οΈ 10.12.2020):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 55K Β· β±οΈ 10.12.2020):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 56K Β· β±οΈ 10.12.2020):
```
conda install -c conda-forge pyvista
```
HyperTools (π₯25 Β· β 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 21 Β· π 150 Β· π¦ 97 Β· π 190 - 36% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 21 Β· π 150 Β· π¦ 100 Β· π 190 - 36% open Β· β±οΈ 06.01.2021):
```
git clone https://github.com/ContextLab/hypertools
@@ -1084,16 +1100,16 @@ _General-purpose and task-specific data visualization libraries._
hvPlot (π₯25 Β· β 340) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 22 Β· π 49 Β· π¦ 440 Β· π 320 - 30% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 22 Β· π 49 Β· π¦ 450 Β· π 320 - 30% open Β· β±οΈ 17.01.2021):
```
git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 31K / month Β· π¦ 15 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 27K / month Β· π¦ 15 Β· β±οΈ 02.06.2020):
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 59K Β· β±οΈ 06.01.2021):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 60K Β· β±οΈ 06.01.2021):
```
conda install -c conda-forge hvplot
```
@@ -1105,7 +1121,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 3.9K / month Β· π¦ 5 Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 3.1K / month Β· π¦ 5 Β· β±οΈ 02.11.2020):
```
pip install chartify
```
@@ -1121,7 +1137,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/jupyter-widgets/pythreejs
```
-- [PyPi](https://pypi.org/project/pythreejs) (π₯ 5.3K / month Β· π¦ 13 Β· β±οΈ 09.10.2020):
+- [PyPi](https://pypi.org/project/pythreejs) (π₯ 5.6K / month Β· π¦ 13 Β· β±οΈ 09.10.2020):
```
pip install pythreejs
```
@@ -1129,7 +1145,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge pythreejs
```
-- [NPM](https://www.npmjs.com/package/jupyter-threejs) (π₯ 4.6K / month Β· π¦ 8 Β· β±οΈ 19.03.2020):
+- [NPM](https://www.npmjs.com/package/jupyter-threejs) (π₯ 5.2K / month Β· π¦ 8 Β· β±οΈ 19.03.2020):
```
npm install jupyter-threejs
```
@@ -1153,7 +1169,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2.4K / month Β· π¦ 14 Β· β±οΈ 08.11.2017):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2.1K / month Β· π¦ 14 Β· β±οΈ 08.11.2017):
```
pip install MulticoreTSNE
```
@@ -1169,47 +1185,47 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 7.2K / month Β· π¦ 4 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 8.2K / month Β· π¦ 4 Β· β±οΈ 08.01.2021):
```
pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 73K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 74K Β· β±οΈ 08.01.2021):
```
conda install -c conda-forge opentsne
```
PandasGUI (π₯22 Β· β 2K) - A GUI for Pandas DataFrames. MIT
-- [GitHub](https://github.com/adamerose/PandasGUI) (π¨βπ» 7 Β· π 110 Β· π¦ 33 Β· π 66 - 21% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/adamerose/PandasGUI) (π¨βπ» 7 Β· π 110 Β· π¦ 34 Β· π 67 - 19% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/adamerose/pandasgui
```
-- [PyPi](https://pypi.org/project/pandasgui) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/pandasgui) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
```
pip install pandasgui
```
Pandas-Bokeh (π₯22 Β· β 600) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
-- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 11 Β· π 75 Β· π¦ 120 Β· π 72 - 29% open Β· β±οΈ 27.11.2020):
+- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 11 Β· π 76 Β· π¦ 130 Β· π 74 - 28% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/PatrikHlobil/Pandas-Bokeh
```
-- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 5.7K / month Β· π¦ 10 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 5.1K / month Β· π¦ 10 Β· β±οΈ 27.01.2021):
```
pip install pandas-bokeh
```
python-ternary (π₯22 Β· β 380) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 25 Β· π 110 Β· π₯ 14 Β· π¦ 51 Β· π 100 - 23% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 25 Β· π 110 Β· π₯ 14 Β· π¦ 53 Β· π 100 - 23% open Β· β±οΈ 05.01.2021):
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 940 / month Β· π¦ 10 Β· β±οΈ 10.05.2020):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 860 / month Β· π¦ 10 Β· β±οΈ 10.05.2020):
```
pip install python-ternary
```
@@ -1225,7 +1241,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 12K / month Β· π¦ 150 Β· β±οΈ 15.05.2020):
+- [PyPi](https://pypi.org/project/vega) (π₯ 14K / month Β· π¦ 150 Β· β±οΈ 15.05.2020):
```
pip install vega
```
@@ -1234,6 +1250,22 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge vega
```
D-Tale (π₯21 Β· β 2K Β· β) - Visualizer for pandas data structures. βοΈLGPL-2.1
+
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 11 Β· π 140 Β· π¦ 84 Β· π 300 - 12% open Β· β±οΈ 26.01.2021):
+
+ ```
+ git clone https://github.com/man-group/dtale
+ ```
+- [PyPi](https://pypi.org/project/dtale) (π₯ 3.1K / month Β· β±οΈ 26.01.2021):
+ ```
+ pip install dtale
+ ```
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 33K Β· β±οΈ 26.01.2021):
+ ```
+ conda install -c conda-forge dtale
+ ```
+joypy (π₯21 Β· β 310) - Joyplots in Python with matplotlib & pandas. MIT
- [GitHub](https://github.com/sbebo/joypy) (π¨βπ» 5 Β· π 32 Β· π¦ 63 Β· π 38 - 10% open Β· β±οΈ 28.12.2020):
@@ -1241,7 +1273,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/sbebo/joypy
```
-- [PyPi](https://pypi.org/project/joypy) (π₯ 2.4K / month Β· π¦ 6 Β· β±οΈ 28.12.2020):
+- [PyPi](https://pypi.org/project/joypy) (π₯ 2.1K / month Β· π¦ 6 Β· β±οΈ 28.12.2020):
```
pip install joypy
```
@@ -1250,18 +1282,18 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge joypy
```
HiPlot (π₯19 Β· β 1.9K) - HiPlot makes understanding high dimensional data easy. MIT
+HiPlot (π₯19 Β· β 2K) - HiPlot makes understanding high dimensional data easy. MIT
-- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 6 Β· π 89 Β· π¦ 2 Β· π 47 - 12% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 6 Β· π 89 Β· π¦ 2 Β· π 48 - 14% open Β· β±οΈ 11.01.2021):
```
git clone https://github.com/facebookresearch/hiplot
```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 1.8K / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/hiplot) (π₯ 1.6K / month Β· β±οΈ 23.12.2020):
```
pip install hiplot
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 41K Β· β±οΈ 23.12.2020):
+- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 42K Β· β±οΈ 23.12.2020):
```
conda install -c conda-forge hiplot
```
@@ -1273,19 +1305,19 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 6.8K / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 6.3K / month Β· β±οΈ 10.12.2020):
```
pip install sweetviz
```
lets-plot (π₯19 Β· β 480) - An open-source plotting library for statistical data. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 14 Β· π 15 Β· π 110 - 36% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 14 Β· π 15 Β· π 120 - 40% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 4.8K / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 3.9K / month Β· β±οΈ 23.12.2020):
```
pip install lets-plot
```
@@ -1297,7 +1329,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/animatplot) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 05.10.2020):
```
pip install animatplot
```
@@ -1308,36 +1340,36 @@ _General-purpose and task-specific data visualization libraries._
AutoViz (π₯19 Β· β 290) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 10 Β· π 54 Β· π¦ 26 Β· π 21 - 23% open Β· β±οΈ 21.12.2020):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 10 Β· π 54 Β· π¦ 27 Β· π 21 - 23% open Β· β±οΈ 21.12.2020):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 960 / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 940 / month Β· β±οΈ 10.12.2020):
```
pip install autoviz
```
PyWaffle (π₯18 Β· β 380) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 61 Β· π¦ 39 Β· π 12 - 16% open Β· β±οΈ 26.07.2020):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 62 Β· π¦ 40 Β· π 12 - 16% open Β· β±οΈ 26.07.2020):
```
git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pywaffle) (π₯ 690 / month Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 720 / month Β· β±οΈ 26.07.2020):
```
pip install pywaffle
```
FiftyOne (π₯18 Β· β 180) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 10 Β· π 15 Β· π 300 - 38% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 10 Β· π 15 Β· π 310 - 37% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 340 / month Β· β±οΈ 16.01.2021):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 260 / month Β· β±οΈ 16.01.2021):
```
pip install fiftyone
```
@@ -1349,7 +1381,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/Zsailer/nx_altair
```
-- [PyPi](https://pypi.org/project/nx-altair) (π₯ 140 / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/nx-altair) (π₯ 130 / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
```
pip install nx-altair
```
@@ -1373,12 +1405,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spaCy (π₯37 Β· β 18K) - Industrial-strength Natural Language Processing (NLP) with Python and Cython. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 540 Β· π 3.2K Β· π₯ 2.9K Β· π¦ 21K Β· π 4.3K - 2% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 550 Β· π 3.2K Β· π₯ 2.9K Β· π¦ 21K Β· π 4.3K - 2% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 820K / month Β· π¦ 3.1K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 740K / month Β· π¦ 3.1K Β· β±οΈ 11.12.2020):
```
pip install spacy
```
@@ -1389,58 +1421,62 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯36 Β· β 40K) - Transformers: State-of-the-art Natural Language.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 760 Β· π 9.7K Β· π₯ 1.2K Β· π¦ 7.1K Β· π 5.7K - 8% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 770 Β· π 9.8K Β· π₯ 1.2K Β· π¦ 7.2K Β· π 5.8K - 9% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 630K / month Β· π¦ 130 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 570K / month Β· π¦ 130 Β· β±οΈ 21.01.2021):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 16K Β· β±οΈ 21.01.2021):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 17K Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge transformers
```
nltk (π₯34 Β· β 9.6K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+gensim (π₯35 Β· β 12K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 390 Β· π 2.4K Β· π¦ 87K Β· π 1.5K - 16% open Β· β±οΈ 02.01.2021):
+- [GitHub](https://github.com/RaRe-Technologies/gensim) (π¨βπ» 390 Β· π 3.9K Β· π₯ 3K Β· π¦ 20K Β· π 1.6K - 21% open Β· β±οΈ 23.01.2021):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 4.5M / month Β· π¦ 21K Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 5.8M / month Β· π¦ 4.7K Β· β±οΈ 15.11.2020):
```
- pip install nltk
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 620K Β· β±οΈ 08.08.2019):
+- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 590K Β· β±οΈ 14.05.2020):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge gensim
```
Rasa (π₯32 Β· β 11K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+nltk (π₯34 Β· β 9.6K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 460 Β· π 3.2K Β· π 4.9K - 11% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 390 Β· π 2.4K Β· π¦ 87K Β· π 1.5K - 16% open Β· β±οΈ 02.01.2021):
```
- git clone https://github.com/RasaHQ/rasa
+ git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 68K / month Β· π¦ 64 Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 4.2M / month Β· π¦ 21K Β· β±οΈ 12.04.2020):
```
- pip install rasa
+ pip install nltk
+ ```
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 620K Β· β±οΈ 08.08.2019):
+ ```
+ conda install -c conda-forge nltk
```
fairseq (π₯31 Β· β 11K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+AllenNLP (π₯32 Β· β 9.6K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2
-- [GitHub](https://github.com/pytorch/fairseq) (π¨βπ» 290 Β· π 2.8K Β· π₯ 57 Β· π¦ 270 Β· π 2.4K - 25% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 230 Β· π 2K Β· π₯ 36 Β· π¦ 1.4K Β· π 2.2K - 4% open Β· β±οΈ 27.01.2021):
```
- git clone https://github.com/pytorch/fairseq
+ git clone https://github.com/allenai/allennlp
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 8.2K / month Β· π¦ 20 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/allennlp) (π₯ 13K / month Β· π¦ 230 Β· β±οΈ 27.01.2021):
```
- pip install fairseq
+ pip install allennlp
```
ChatterBot (π₯31 Β· β 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
@@ -1450,35 +1486,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/chatterbot) (π₯ 23K / month Β· π¦ 680 Β· β±οΈ 22.08.2020):
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 19K / month Β· π¦ 680 Β· β±οΈ 22.08.2020):
```
pip install chatterbot
```
sentencepiece (π₯31 Β· β 4.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (π₯31 Β· β 4.8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 48 Β· π 630 Β· π₯ 9.7K Β· π¦ 5.5K Β· π 410 - 5% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 48 Β· π 630 Β· π₯ 10K Β· π¦ 5.6K Β· π 410 - 5% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 940K / month Β· π¦ 240 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 810K / month Β· π¦ 240 Β· β±οΈ 10.01.2021):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 24K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 25K Β· β±οΈ 08.01.2021):
```
conda install -c conda-forge sentencepiece
```
fastText (π₯30 Β· β 22K) - Library for fast text representation and classification. MIT
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 58 Β· π 4.3K Β· π¦ 1.4K Β· π 1K - 42% open Β· β±οΈ 18.07.2020):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 58 Β· π 4.3K Β· π¦ 1.5K Β· π 1K - 42% open Β· β±οΈ 18.07.2020):
```
git clone https://github.com/facebookresearch/fastText
```
-- [PyPi](https://pypi.org/project/fasttext) (π₯ 110K / month Β· π¦ 190 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 99K / month Β· π¦ 190 Β· β±οΈ 28.04.2020):
```
pip install fasttext
```
@@ -1487,50 +1523,66 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge fasttext
```
flair (π₯30 Β· β 9.8K) - A very simple framework for state-of-the-art Natural Language.. MIT
+fairseq (π₯30 Β· β 11K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 160 Β· π 1.4K Β· π¦ 590 Β· π 1.4K - 7% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/pytorch/fairseq) (π¨βπ» 290 Β· π 2.8K Β· π₯ 81 Β· π¦ 280 Β· π 2.4K - 26% open Β· β±οΈ 27.01.2021):
+
+ ```
+ git clone https://github.com/pytorch/fairseq
+ ```
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 7.6K / month Β· π¦ 20 Β· β±οΈ 05.01.2021):
+ ```
+ pip install fairseq
+ ```
+flair (π₯30 Β· β 9.9K) - A very simple framework for state-of-the-art Natural Language.. MIT
+
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 160 Β· π 1.4K Β· π¦ 600 Β· π 1.4K - 7% open Β· β±οΈ 13.01.2021):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 39K / month Β· π¦ 48 Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/flair) (π₯ 34K / month Β· π¦ 48 Β· β±οΈ 01.12.2020):
```
pip install flair
```
torchtext (π₯30 Β· β 2.6K) - Data loaders and abstractions for text and NLP. BSD-3
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 100 Β· π 600 Β· π¦ 3.6K Β· π 580 - 45% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 100 Β· π 600 Β· π¦ 3.7K Β· π 580 - 45% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 77K / month Β· π¦ 680 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 74K / month Β· π¦ 680 Β· β±οΈ 10.12.2020):
```
pip install torchtext
```
AllenNLP (π₯29 Β· β 9.6K) - An open-source NLP research library, built on PyTorch. Apache-2
+snowballstemmer (π₯30 Β· β 470 Β· π) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 230 Β· π 2K Β· π₯ 36 Β· π¦ 1.4K Β· π 2.2K - 4% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 25 Β· π 130 Β· π¦ 43K Β· π 59 - 28% open Β· β±οΈ 22.01.2021):
```
- git clone https://github.com/allenai/allennlp
+ git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/allennlp) (π₯ 14K / month Β· π¦ 230 Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 2M / month Β· π¦ 13K Β· β±οΈ 21.01.2021):
```
- pip install allennlp
+ pip install snowballstemmer
+ ```
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 2M Β· β±οΈ 21.01.2021):
+ ```
+ conda install -c conda-forge snowballstemmer
```
TextBlob (π₯29 Β· β 7.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 33 Β· π 950 Β· π₯ 88 Β· π¦ 9.9K Β· π 220 - 31% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 33 Β· π 950 Β· π₯ 88 Β· π¦ 10K Β· π 220 - 31% open Β· β±οΈ 11.01.2021):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 240K / month Β· π¦ 2.5K Β· β±οΈ 24.02.2019):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 210K / month Β· π¦ 2.5K Β· β±οΈ 24.02.2019):
```
pip install textblob
```
@@ -1539,58 +1591,70 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
snowballstemmer (π₯29 Β· β 470) - Snowball compiler and stemming algorithms. BSD-3
+Rasa (π₯28 Β· β 11K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 25 Β· π 130 Β· π¦ 43K Β· π 61 - 31% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 460 Β· π 3.3K Β· π 5K - 11% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/snowballstem/snowball
+ git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 2.1M / month Β· π¦ 13K Β· β±οΈ 03.10.2019):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 62K / month Β· π¦ 64 Β· β±οΈ 25.01.2021):
```
- pip install snowballstemmer
+ pip install rasa
+ ```
+stanza (π₯28 Β· β 5.1K Β· π) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
+
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 32 Β· π 650 Β· π¦ 310 Β· π 460 - 13% open Β· β±οΈ 27.01.2021):
+
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 2M Β· β±οΈ 03.10.2019):
+ git clone https://github.com/stanfordnlp/stanza
```
- conda install -c conda-forge snowballstemmer
+- [PyPi](https://pypi.org/project/stanza) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
+ ```
+ pip install stanza
+ ```
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 3.1K Β· β±οΈ 27.01.2021):
+ ```
+ conda install -c stanfordnlp stanza
```
OpenNMT (π₯28 Β· β 4.8K Β· π) - Open Source Neural Machine Translation in PyTorch. MIT
+OpenNMT (π₯28 Β· β 4.8K) - Open Source Neural Machine Translation in PyTorch. MIT
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 160 Β· π 1.8K Β· π¦ 65 Β· π 1.2K - 7% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 160 Β· π 1.8K Β· π¦ 67 Β· π 1.2K - 7% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 4.2K / month Β· π¦ 4 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 3.3K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
```
pip install OpenNMT-py
```
Tokenizers (π₯28 Β· β 4.2K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 40 Β· π 300 Β· π¦ 24 Β· π 370 - 21% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 40 Β· π 310 Β· π¦ 25 Β· π 370 - 21% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 810K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 710K / month Β· β±οΈ 12.01.2021):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 19K Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 20K Β· β±οΈ 19.11.2020):
```
conda install -c conda-forge tokenizers
```
sentence-transformers (π₯28 Β· β 4K) - Sentence Embeddings with BERT & XLNet. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 38 Β· π 740 Β· π¦ 560 Β· π 650 - 45% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 39 Β· π 750 Β· π¦ 590 Β· π 660 - 46% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 130K / month Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 190K / month Β· β±οΈ 04.01.2021):
```
pip install sentence-transformers
```
@@ -1602,19 +1666,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 47K / month Β· π¦ 78 Β· β±οΈ 06.09.2020):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 39K / month Β· π¦ 78 Β· β±οΈ 06.09.2020):
```
pip install dedupe
```
phonenumbers (π₯28 Β· β 2.6K) - Python port of Google's libphonenumber. Apache-2
-- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (π¨βπ» 22 Β· π 330 Β· π 110 - 2% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (π¨βπ» 22 Β· π 330 Β· π 120 - 2% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/daviddrysdale/python-phonenumbers
```
-- [PyPi](https://pypi.org/project/phonenumbers) (π₯ 650K / month Β· π¦ 2.3K Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/phonenumbers) (π₯ 600K / month Β· π¦ 2.3K Β· β±οΈ 27.01.2021):
```
pip install phonenumbers
```
@@ -1630,43 +1694,27 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jaraco/inflect
```
-- [PyPi](https://pypi.org/project/inflect) (π₯ 840K / month Β· π¦ 1.4K Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/inflect) (π₯ 780K / month Β· π¦ 1.4K Β· β±οΈ 15.11.2020):
```
pip install inflect
```
-- [Conda](https://anaconda.org/conda-forge/inflect) (π₯ 120K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/inflect) (π₯ 130K Β· β±οΈ 08.01.2021):
```
conda install -c conda-forge inflect
```
GluonNLP (π₯27 Β· β 2.2K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2
-- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 78 Β· π 490 Β· π¦ 380 Β· π 510 - 44% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 79 Β· π 490 Β· π¦ 380 Β· π 510 - 44% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/dmlc/gluon-nlp
```
-- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 31K / month Β· π¦ 11 Β· β±οΈ 13.08.2020):
+- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 26K / month Β· π¦ 11 Β· β±οΈ 13.08.2020):
```
pip install gluonnlp
```
Jina (π₯27 Β· β 1.9K) - An easier way to build neural search in the cloud. Apache-2
-
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 82 Β· π 320 Β· π¦ 45 Β· π 610 - 7% open Β· β±οΈ 21.01.2021):
-
- ```
- git clone https://github.com/jina-ai/jina
- ```
-- [PyPi](https://pypi.org/project/jina) (π₯ 1.9K / month Β· β±οΈ 20.01.2021):
- ```
- pip install jina
- ```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 79K Β· β±οΈ 21.01.2021):
- ```
- docker pull jinaai/jina
- ```
-textacy (π₯27 Β· β 1.6K) - NLP, before and after spaCy. Apache-2
- [GitHub](https://github.com/chartbeat-labs/textacy) (π¨βπ» 29 Β· π 210 Β· π 220 - 13% open Β· β±οΈ 09.01.2021):
@@ -1674,7 +1722,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/chartbeat-labs/textacy
```
-- [PyPi](https://pypi.org/project/textacy) (π₯ 18K / month Β· π¦ 77 Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/textacy) (π₯ 20K / month Β· π¦ 77 Β· β±οΈ 29.08.2020):
```
pip install textacy
```
@@ -1690,19 +1738,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 4.1K / month Β· π¦ 4 Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 3.5K / month Β· π¦ 4 Β· β±οΈ 24.12.2020):
```
pip install deeppavlov
```
ftfy (π₯26 Β· β 2.9K Β· π) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
+ftfy (π₯26 Β· β 2.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-- [GitHub](https://github.com/LuminosoInsight/python-ftfy) (π¨βπ» 17 Β· π 100 Β· π¦ 2.6K Β· π 110 - 14% open Β· β±οΈ 17.07.2020):
+- [GitHub](https://github.com/LuminosoInsight/python-ftfy) (π¨βπ» 17 Β· π 100 Β· π¦ 2.7K Β· π 110 - 14% open Β· β±οΈ 17.07.2020):
```
git clone https://github.com/LuminosoInsight/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 250K / month Β· π¦ 760 Β· β±οΈ 20.07.2020):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 240K / month Β· π¦ 760 Β· β±οΈ 20.07.2020):
```
pip install ftfy
```
@@ -1713,76 +1761,76 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TensorFlow Text (π₯26 Β· β 690) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 31 Β· π 84 Β· π¦ 430 Β· π 120 - 31% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 32 Β· π 84 Β· π¦ 440 Β· π 130 - 33% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 140K / month Β· π¦ 4 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 120K / month Β· π¦ 4 Β· β±οΈ 13.01.2021):
```
pip install tensorflow-text
```
PyText (π₯25 Β· β 6.1K) - A natural language modeling framework based on PyTorch. BSD-3
-- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 150 Β· π 760 Β· π₯ 210 Β· π¦ 59 Β· π 190 - 60% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 150 Β· π 760 Β· π₯ 220 Β· π¦ 62 Β· π 190 - 60% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebookresearch/pytext
```
-- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 230 / month Β· π¦ 1 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 220 / month Β· π¦ 1 Β· β±οΈ 27.04.2020):
```
pip install pytext-nlp
```
vaderSentiment (π₯25 Β· β 2.7K Β· π€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+vaderSentiment (π₯25 Β· β 2.8K Β· π€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
- [GitHub](https://github.com/cjhutto/vaderSentiment) (π¨βπ» 10 Β· π 720 Β· π¦ 2.2K Β· π 99 - 25% open Β· β±οΈ 22.05.2020):
```
git clone https://github.com/cjhutto/vaderSentiment
```
-- [PyPi](https://pypi.org/project/vadersentiment) (π₯ 100K / month Β· π¦ 290 Β· β±οΈ 22.05.2020):
+- [PyPi](https://pypi.org/project/vadersentiment) (π₯ 82K / month Β· π¦ 290 Β· β±οΈ 22.05.2020):
```
pip install vadersentiment
```
TextDistance (π₯25 Β· β 1.9K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
+spark-nlp (π₯25 Β· β 1.9K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 7 Β· π 160 Β· π₯ 97 Β· π¦ 300 Β· β±οΈ 13.04.2020):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 74 Β· π 390 Β· π 410 - 17% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/life4/textdistance
- ```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 90K / month Β· π¦ 28 Β· β±οΈ 13.04.2020):
- ```
- pip install textdistance
+ git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 18K Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 340K / month Β· β±οΈ 25.01.2021):
```
- conda install -c conda-forge textdistance
+ pip install spark-nlp
```
spark-nlp (π₯25 Β· β 1.8K) - State of the Art Natural Language Processing. Apache-2
+TextDistance (π₯25 Β· β 1.9K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 74 Β· π 390 Β· π 410 - 17% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 7 Β· π 160 Β· π₯ 98 Β· π¦ 310 Β· β±οΈ 13.04.2020):
```
- git clone https://github.com/JohnSnowLabs/spark-nlp
+ git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 360K / month Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 85K / month Β· π¦ 28 Β· β±οΈ 13.04.2020):
```
- pip install spark-nlp
+ pip install textdistance
+ ```
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 19K Β· β±οΈ 10.11.2020):
+ ```
+ conda install -c conda-forge textdistance
```
jellyfish (π₯25 Β· β 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 20 Β· π 120 Β· π¦ 2K Β· π 95 - 9% open Β· β±οΈ 30.12.2020):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 20 Β· π 120 Β· π¦ 2.1K Β· π 95 - 9% open Β· β±οΈ 30.12.2020):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 720K / month Β· π¦ 650 Β· β±οΈ 21.05.2020):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 660K / month Β· π¦ 650 Β· β±οΈ 21.05.2020):
```
pip install jellyfish
```
@@ -1791,66 +1839,54 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge jellyfish
```
haystack (π₯25 Β· β 1.3K) - Transformers at scale for question answering & neural search. Using.. Apache-2
+pyahocorasick (π₯25 Β· β 570) - Python module (C extension and plain python) implementing Aho-.. BSD-3
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 31 Β· π 230 Β· π¦ 25 Β· π 420 - 13% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/WojciechMula/pyahocorasick) (π¨βπ» 20 Β· π 88 Β· π¦ 480 Β· π 98 - 32% open Β· β±οΈ 26.01.2021):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/WojciechMula/pyahocorasick
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 1.7K / month Β· π¦ 74 Β· β±οΈ 03.07.2017):
+- [PyPi](https://pypi.org/project/pyahocorasick) (π₯ 77K / month Β· π¦ 100 Β· β±οΈ 26.01.2021):
```
- pip install haystack
+ pip install pyahocorasick
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyahocorasick) (π₯ 110K Β· β±οΈ 13.10.2020):
+ ```
+ conda install -c conda-forge pyahocorasick
```
ParlAI (π₯24 Β· β 6.9K) - A framework for training and evaluating AI models on a variety of.. MIT
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 140 Β· π 1.4K Β· π¦ 5 Β· π 940 - 11% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 140 Β· π 1.4K Β· π¦ 6 Β· π 930 - 9% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 720 / month Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 740 / month Β· β±οΈ 19.01.2021):
```
pip install parlai
```
stanza (π₯24 Β· β 5.1K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
-
-- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 28 Β· π 630 Β· π 440 - 13% open Β· β±οΈ 12.01.2021):
-
- ```
- git clone https://github.com/stanfordnlp/stanza
- ```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 12K / month Β· π¦ 2 Β· β±οΈ 13.08.2020):
- ```
- pip install stanza
- ```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 3K Β· β±οΈ 13.08.2020):
- ```
- conda install -c stanfordnlp stanza
- ```
-textgenrnn (π₯24 Β· β 4.2K) - Easily train your own text-generating neural network of any size.. MIT
-- [GitHub](https://github.com/minimaxir/textgenrnn) (π¨βπ» 19 Β· π 650 Β· π₯ 390 Β· π¦ 590 Β· π 190 - 57% open Β· β±οΈ 14.07.2020):
+- [GitHub](https://github.com/minimaxir/textgenrnn) (π¨βπ» 19 Β· π 650 Β· π₯ 390 Β· π¦ 610 Β· π 190 - 57% open Β· β±οΈ 14.07.2020):
```
git clone https://github.com/minimaxir/textgenrnn
```
-- [PyPi](https://pypi.org/project/textgenrnn) (π₯ 1.9K / month Β· π¦ 14 Β· β±οΈ 02.02.2020):
+- [PyPi](https://pypi.org/project/textgenrnn) (π₯ 1.8K / month Β· π¦ 14 Β· β±οΈ 02.02.2020):
```
pip install textgenrnn
```
T5 (π₯24 Β· β 3.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+T5 (π₯24 Β· β 3.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 28 Β· π 420 Β· π¦ 21 Β· π 330 - 11% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 28 Β· π 420 Β· π¦ 21 Β· π 330 - 11% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 5.2K / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/t5) (π₯ 5.5K / month Β· β±οΈ 18.12.2020):
```
pip install t5
```
@@ -1862,19 +1898,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 5.3K / month Β· π¦ 190 Β· β±οΈ 19.05.2019):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 5.2K / month Β· π¦ 190 Β· β±οΈ 19.05.2019):
```
pip install sumy
```
fastNLP (π₯24 Β· β 2K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2
-- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 48 Β· π 350 Β· π₯ 54 Β· π¦ 21 Β· π 140 - 11% open Β· β±οΈ 23.11.2020):
+- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 48 Β· π 350 Β· π₯ 54 Β· π¦ 22 Β· π 140 - 11% open Β· β±οΈ 23.11.2020):
```
git clone https://github.com/fastnlp/fastNLP
```
-- [PyPi](https://pypi.org/project/fastnlp) (π₯ 870 / month Β· π¦ 1 Β· β±οΈ 04.02.2019):
+- [PyPi](https://pypi.org/project/fastnlp) (π₯ 440 / month Β· π¦ 1 Β· β±οΈ 04.02.2019):
```
pip install fastnlp
```
@@ -1886,37 +1922,33 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 15.09.2020):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 8.9K / month Β· π¦ 6 Β· β±οΈ 15.09.2020):
```
pip install pytextrank
```
CLTK (π₯24 Β· β 630) - The Classical Language Toolkit. MIT
+haystack (π₯24 Β· β 1.3K) - Transformers at scale for question answering & neural search. Using.. Apache-2
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 110 Β· π 300 Β· π₯ 22 Β· π¦ 150 Β· π 480 - 25% open Β· β±οΈ 09.01.2021):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 31 Β· π 240 Β· π¦ 30 Β· π 440 - 13% open Β· β±οΈ 27.01.2021):
```
- git clone https://github.com/cltk/cltk
+ git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 1.1K / month Β· π¦ 68 Β· β±οΈ 01.01.2021):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 670 / month Β· π¦ 74 Β· β±οΈ 03.07.2017):
```
- pip install cltk
+ pip install haystack
```
pyahocorasick (π₯24 Β· β 570) - Python module (C extension and plain python) implementing Aho-.. BSD-3
+CLTK (π₯24 Β· β 630) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/WojciechMula/pyahocorasick) (π¨βπ» 20 Β· π 86 Β· π¦ 470 Β· π 96 - 32% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 110 Β· π 300 Β· π₯ 22 Β· π¦ 150 Β· π 480 - 25% open Β· β±οΈ 09.01.2021):
```
- git clone https://github.com/WojciechMula/pyahocorasick
- ```
-- [PyPi](https://pypi.org/project/pyahocorasick) (π₯ 86K / month Β· π¦ 64 Β· β±οΈ 14.01.2019):
- ```
- pip install pyahocorasick
+ git clone https://github.com/cltk/cltk
```
-- [Conda](https://anaconda.org/conda-forge/pyahocorasick) (π₯ 110K Β· β±οΈ 13.10.2020):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 1K / month Β· π¦ 68 Β· β±οΈ 01.01.2021):
```
- conda install -c conda-forge pyahocorasick
+ pip install cltk
```
Ciphey (π₯23 Β· β 6.2K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
@@ -1926,11 +1958,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 3K / month Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 2.4K / month Β· β±οΈ 02.12.2020):
```
pip install ciphey
```
-- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 7.4K Β· β 1 Β· β±οΈ 17.12.2020):
+- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 7.6K Β· β 1 Β· β±οΈ 17.12.2020):
```
docker pull remnux/ciphey
```
@@ -1942,19 +1974,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/vi3k6i5/flashtext
```
-- [PyPi](https://pypi.org/project/flashtext) (π₯ 210K / month Β· π¦ 32 Β· β±οΈ 16.02.2018):
+- [PyPi](https://pypi.org/project/flashtext) (π₯ 180K / month Β· π¦ 32 Β· β±οΈ 16.02.2018):
```
pip install flashtext
```
Snips NLU (π₯23 Β· β 3.4K Β· π€) - Snips Python library to extract meaning from text. Apache-2
+
+- [GitHub](https://github.com/snipsco/snips-nlu) (π¨βπ» 21 Β· π 460 Β· π 250 - 20% open Β· β±οΈ 08.02.2020):
+
+ ```
+ git clone https://github.com/snipsco/snips-nlu
+ ```
+- [PyPi](https://pypi.org/project/snips-nlu) (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 15.01.2020):
+ ```
+ pip install snips-nlu
+ ```
+neuralcoref (π₯23 Β· β 2.2K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-- [GitHub](https://github.com/huggingface/neuralcoref) (π¨βπ» 20 Β· π 380 Β· π₯ 160 Β· π¦ 280 Β· π 260 - 16% open Β· β±οΈ 29.12.2020):
+- [GitHub](https://github.com/huggingface/neuralcoref) (π¨βπ» 20 Β· π 380 Β· π₯ 170 Β· π¦ 280 Β· π 260 - 16% open Β· β±οΈ 29.12.2020):
```
git clone https://github.com/huggingface/neuralcoref
```
-- [PyPi](https://pypi.org/project/neuralcoref) (π₯ 2.6K / month Β· π¦ 18 Β· β±οΈ 08.04.2019):
+- [PyPi](https://pypi.org/project/neuralcoref) (π₯ 2.3K / month Β· π¦ 18 Β· β±οΈ 08.04.2019):
```
pip install neuralcoref
```
@@ -1963,14 +2007,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge neuralcoref
```
pytorch-nlp (π₯23 Β· β 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
+
+- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 17 Β· π 220 Β· π¦ 170 Β· π 63 - 22% open Β· β±οΈ 26.01.2021):
+
+ ```
+ git clone https://github.com/PetrochukM/PyTorch-NLP
+ ```
+- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 2.3K / month Β· π¦ 18 Β· β±οΈ 04.11.2019):
+ ```
+ pip install pytorch-nlp
+ ```
+sense2vec (π₯23 Β· β 1.1K Β· π€) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 14 Β· π 200 Β· π₯ 12K Β· π¦ 48 Β· π 93 - 16% open Β· β±οΈ 29.05.2020):
+- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 14 Β· π 200 Β· π₯ 12K Β· π¦ 49 Β· π 93 - 16% open Β· β±οΈ 29.05.2020):
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.4K / month Β· π¦ 6 Β· β±οΈ 22.11.2019):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.2K / month Β· π¦ 6 Β· β±οΈ 22.11.2019):
```
pip install sense2vec
```
@@ -1981,72 +2037,48 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spacy-transformers (π₯23 Β· β 880) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 15 Β· π 99 Β· π¦ 72 Β· π 180 - 26% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 15 Β· π 100 Β· π¦ 73 Β· π 180 - 26% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 8.7K / month Β· π¦ 6 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 8.8K / month Β· π¦ 6 Β· β±οΈ 26.01.2021):
```
pip install spacy-transformers
```
SciSpacy (π₯23 Β· β 780) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
+SciSpacy (π₯23 Β· β 790) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 15 Β· π 120 Β· π¦ 200 Β· π 150 - 11% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 7.1K / month Β· π¦ 12 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 6.6K / month Β· π¦ 12 Β· β±οΈ 16.10.2020):
```
pip install scispacy
```
pySBD (π₯23 Β· β 260) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
-- [GitHub](https://github.com/nipunsadvilkar/pySBD) (π¨βπ» 6 Β· π 25 Β· π¦ 99 Β· π 47 - 8% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/nipunsadvilkar/pySBD) (π¨βπ» 6 Β· π 26 Β· π¦ 100 Β· π 47 - 8% open Β· β±οΈ 01.12.2020):
```
git clone https://github.com/nipunsadvilkar/pySBD
```
-- [PyPi](https://pypi.org/project/pysbd) (π₯ 8.7K / month Β· π¦ 2 Β· β±οΈ 08.10.2020):
+- [PyPi](https://pypi.org/project/pysbd) (π₯ 8.2K / month Β· π¦ 2 Β· β±οΈ 08.10.2020):
```
pip install pysbd
```
Snips NLU (π₯22 Β· β 3.4K Β· π€) - Snips Python library to extract meaning from text. Apache-2
-
-- [GitHub](https://github.com/snipsco/snips-nlu) (π¨βπ» 21 Β· π 460 Β· π 250 - 20% open Β· β±οΈ 08.02.2020):
-
- ```
- git clone https://github.com/snipsco/snips-nlu
- ```
-- [PyPi](https://pypi.org/project/snips-nlu) (π₯ 1K / month Β· π¦ 8 Β· β±οΈ 15.01.2020):
- ```
- pip install snips-nlu
- ```
-pytorch-nlp (π₯22 Β· β 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
-
-- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 17 Β· π 220 Β· π¦ 170 Β· π 63 - 22% open Β· β±οΈ 11.10.2020):
-
- ```
- git clone https://github.com/PetrochukM/PyTorch-NLP
- ```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 2.6K / month Β· π¦ 18 Β· β±οΈ 04.11.2019):
- ```
- pip install pytorch-nlp
- ```
-scattertext (π₯22 Β· β 1.5K) - Beautiful visualizations of how language differs among document.. Apache-2
-- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 10 Β· π 200 Β· π¦ 140 Β· π 70 - 24% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 10 Β· π 200 Β· π¦ 150 Β· π 73 - 23% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 2.1K / month Β· π¦ 8 Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 1.6K / month Β· π¦ 8 Β· β±οΈ 18.01.2021):
```
pip install scattertext
```
@@ -2062,7 +2094,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/kaushaltrivedi/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 09.12.2020):
```
pip install fast-bert
```
@@ -2074,7 +2106,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/anhaidgroup/deepmatcher
```
-- [PyPi](https://pypi.org/project/deepmatcher) (π₯ 240 / month Β· β±οΈ 30.12.2019):
+- [PyPi](https://pypi.org/project/deepmatcher) (π₯ 220 / month Β· β±οΈ 30.12.2019):
```
pip install deepmatcher
```
@@ -2086,7 +2118,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IntelLabs/nlp-architect
```
-- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 160 / month Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 170 / month Β· β±οΈ 12.04.2020):
```
pip install nlp-architect
```
@@ -2098,157 +2130,157 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/asyml/texar
```
-- [PyPi](https://pypi.org/project/texar) (π₯ 110 / month Β· π¦ 2 Β· β±οΈ 19.11.2019):
+- [PyPi](https://pypi.org/project/texar) (π₯ 100 / month Β· π¦ 2 Β· β±οΈ 19.11.2019):
```
pip install texar
```
FARM (π₯21 Β· β 1.1K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2
-- [GitHub](https://github.com/deepset-ai/FARM) (π¨βπ» 29 Β· π 150 Β· π 320 - 9% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/deepset-ai/FARM) (π¨βπ» 30 Β· π 150 Β· π 320 - 9% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/deepset-ai/FARM
```
-- [PyPi](https://pypi.org/project/farm) (π₯ 3K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/farm) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
```
pip install farm
```
gpt-2-simple (π₯20 Β· β 2.4K Β· π€) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT
+gpt-2-simple (π₯20 Β· β 2.5K Β· π€) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT
-- [GitHub](https://github.com/minimaxir/gpt-2-simple) (π¨βπ» 16 Β· π 490 Β· π₯ 190 Β· π 220 - 58% open Β· β±οΈ 24.04.2020):
+- [GitHub](https://github.com/minimaxir/gpt-2-simple) (π¨βπ» 16 Β· π 500 Β· π₯ 190 Β· π 220 - 58% open Β· β±οΈ 24.04.2020):
```
git clone https://github.com/minimaxir/gpt-2-simple
```
-- [PyPi](https://pypi.org/project/gpt-2-simple) (π₯ 5K / month Β· π¦ 3 Β· β±οΈ 28.12.2019):
+- [PyPi](https://pypi.org/project/gpt-2-simple) (π₯ 4.4K / month Β· π¦ 3 Β· β±οΈ 28.12.2019):
```
pip install gpt-2-simple
```
NeMo (π₯20 Β· β 2.3K) - NeMo: a toolkit for conversational AI. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 69 Β· π 360 Β· π₯ 570 Β· π 410 - 39% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 69 Β· π 380 Β· π₯ 910 Β· π 420 - 40% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 1.5K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 1.3K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
```
pip install nemo-toolkit
```
Texthero (π₯20 Β· β 2.1K) - Text preprocessing, representation and visualization from zero to hero. MIT
-- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 18 Β· π 180 Β· π₯ 61 Β· π 120 - 60% open Β· β±οΈ 03.11.2020):
+- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 18 Β· π 180 Β· π₯ 62 Β· π 120 - 60% open Β· β±οΈ 03.11.2020):
```
git clone https://github.com/jbesomi/texthero
```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 2.2K / month Β· β±οΈ 06.07.2020):
+- [PyPi](https://pypi.org/project/texthero) (π₯ 2K / month Β· β±οΈ 06.07.2020):
```
pip install texthero
```
DELTA (π₯20 Β· β 1.4K) - DELTA is a deep learning based natural language and speech.. Apache-2
-- [GitHub](https://github.com/Delta-ML/delta) (π¨βπ» 41 Β· π 270 Β· π 76 - 11% open Β· β±οΈ 17.12.2020):
+- [GitHub](https://github.com/Delta-ML/delta) (π¨βπ» 41 Β· π 270 Β· π 77 - 11% open Β· β±οΈ 17.12.2020):
```
git clone https://github.com/Delta-ML/delta
```
-- [PyPi](https://pypi.org/project/delta-nlp) (π₯ 6 / month Β· β±οΈ 27.03.2020):
+- [PyPi](https://pypi.org/project/delta-nlp) (π₯ 7 / month Β· β±οΈ 27.03.2020):
```
pip install delta-nlp
```
-- [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (π₯ 12K Β· β±οΈ 20.01.2021):
+- [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (π₯ 12K Β· β±οΈ 25.01.2021):
```
docker pull zh794390558/delta
```
Sockeye (π₯20 Β· β 980) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+Sockeye (π₯20 Β· β 990) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 52 Β· π 290 Β· π 240 - 8% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 52 Β· π 290 Β· π 240 - 8% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 560 / month Β· π¦ 2 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 08.01.2021):
```
pip install sockeye
```
Kashgari (π₯19 Β· β 2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2
+YouTokenToMe (π₯20 Β· β 710 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- [GitHub](https://github.com/BrikerMan/Kashgari) (π¨βπ» 19 Β· π 380 Β· π¦ 19 Β· π 330 - 9% open Β· β±οΈ 29.10.2020):
+- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 6 Β· π 42 Β· π¦ 96 Β· π 41 - 51% open Β· β±οΈ 13.02.2020):
```
- git clone https://github.com/BrikerMan/Kashgari
+ git clone https://github.com/vkcom/youtokentome
```
-- [PyPi](https://pypi.org/project/kashgari-tf) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 26.06.2019):
+- [PyPi](https://pypi.org/project/youtokentome) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 12.02.2020):
```
- pip install kashgari-tf
+ pip install youtokentome
```
YouTokenToMe (π₯19 Β· β 710 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
+Kashgari (π₯19 Β· β 2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2
-- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 6 Β· π 42 Β· π¦ 95 Β· π 41 - 51% open Β· β±οΈ 13.02.2020):
+- [GitHub](https://github.com/BrikerMan/Kashgari) (π¨βπ» 19 Β· π 380 Β· π¦ 19 Β· π 330 - 9% open Β· β±οΈ 29.10.2020):
```
- git clone https://github.com/vkcom/youtokentome
+ git clone https://github.com/BrikerMan/Kashgari
```
-- [PyPi](https://pypi.org/project/youtokentome) (π₯ 5.2K / month Β· π¦ 6 Β· β±οΈ 12.02.2020):
+- [PyPi](https://pypi.org/project/kashgari-tf) (π₯ 90 / month Β· π¦ 1 Β· β±οΈ 26.06.2019):
```
- pip install youtokentome
+ pip install kashgari-tf
```
finetune (π₯19 Β· β 630 Β· π) - Scikit-learn style model finetuning for NLP. MPL-2.0
+finetune (π₯19 Β· β 630) - Scikit-learn style model finetuning for NLP. MPL-2.0
- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 18 Β· π 67 Β· π¦ 9 Β· π 130 - 13% open Β· β±οΈ 06.01.2021):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 99 / month Β· π¦ 2 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 100 / month Β· π¦ 2 Β· β±οΈ 10.01.2020):
```
pip install finetune
```
textpipe (π₯19 Β· β 260) - Textpipe: clean and extract metadata from text. MIT
-- [GitHub](https://github.com/textpipe/textpipe) (π¨βπ» 27 Β· π 18 Β· π¦ 7 Β· π 44 - 45% open Β· β±οΈ 12.10.2020):
+- [GitHub](https://github.com/textpipe/textpipe) (π¨βπ» 28 Β· π 19 Β· π¦ 7 Β· π 45 - 46% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/textpipe/textpipe
```
-- [PyPi](https://pypi.org/project/textpipe) (π₯ 570 / month Β· π¦ 1 Β· β±οΈ 12.10.2020):
+- [PyPi](https://pypi.org/project/textpipe) (π₯ 700 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
```
pip install textpipe
```
skift (π₯19 Β· β 210) - scikit-learn wrappers for Python fastText. MIT
+Camphr (π₯18 Β· β 320) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy
-- [GitHub](https://github.com/shaypal5/skift) (π¨βπ» 6 Β· π 22 Β· π¦ 8 Β· π 10 - 20% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (π¨βπ» 7 Β· π 16 Β· π 29 - 44% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/shaypal5/skift
+ git clone https://github.com/PKSHATechnology-Research/camphr
```
-- [PyPi](https://pypi.org/project/skift) (π₯ 1.1K / month Β· β±οΈ 27.08.2020):
+- [PyPi](https://pypi.org/project/camphr) (π₯ 310 / month Β· β±οΈ 25.12.2020):
```
- pip install skift
+ pip install camphr
```
Camphr (π₯18 Β· β 320) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy
+skift (π₯18 Β· β 210) - scikit-learn wrappers for Python fastText. MIT
-- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (π¨βπ» 7 Β· π 15 Β· π 29 - 44% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/shaypal5/skift) (π¨βπ» 6 Β· π 22 Β· π¦ 8 Β· π 10 - 20% open Β· β±οΈ 19.01.2021):
```
- git clone https://github.com/PKSHATechnology-Research/camphr
+ git clone https://github.com/shaypal5/skift
```
-- [PyPi](https://pypi.org/project/camphr) (π₯ 370 / month Β· β±οΈ 25.12.2020):
+- [PyPi](https://pypi.org/project/skift) (π₯ 880 / month Β· β±οΈ 27.08.2020):
```
- pip install camphr
+ pip install skift
```
VizSeq (π₯16 Β· β 310) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
@@ -2258,31 +2290,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 51 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 48 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Translate (π₯15 Β· β 670) - Translate - a PyTorch Language Library. BSD-3
-
-- [GitHub](https://github.com/pytorch/translate) (π¨βπ» 84 Β· π 160 Β· π 93 - 70% open Β· β±οΈ 29.12.2020):
-
- ```
- git clone https://github.com/pytorch/translate
- ```
-- [PyPi](https://pypi.org/project/pytorch-translate) (π₯ 3 / month Β· β±οΈ 01.05.2018):
- ```
- pip install pytorch-translate
- ```
-Headliner (π₯15 Β· β 220 Β· π€) - Easy training and deployment of seq2seq models. MIT
+Headliner (π₯16 Β· β 220 Β· π€) - Easy training and deployment of seq2seq models. MIT
- [GitHub](https://github.com/as-ideas/headliner) (π¨βπ» 2 Β· π 37 Β· π¦ 3 Β· π 14 - 7% open Β· β±οΈ 14.02.2020):
```
git clone https://github.com/as-ideas/headliner
```
-- [PyPi](https://pypi.org/project/headliner) (π₯ 110 / month Β· π¦ 1 Β· β±οΈ 24.01.2020):
+- [PyPi](https://pypi.org/project/headliner) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 24.01.2020):
```
pip install headliner
```
@@ -2294,19 +2314,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/victordibia/neuralqa
```
-- [PyPi](https://pypi.org/project/neuralqa) (π₯ 38 / month Β· β±οΈ 29.07.2020):
+- [PyPi](https://pypi.org/project/neuralqa) (π₯ 25 / month Β· β±οΈ 29.07.2020):
```
pip install neuralqa
```
OpenNRE (π₯14 Β· β 2.9K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
+OpenNRE (π₯14 Β· β 3K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 9 Β· π 830 Β· π 300 - 5% open Β· β±οΈ 24.11.2020):
+- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 9 Β· π 860 Β· π 300 - 6% open Β· β±οΈ 24.11.2020):
```
git clone https://github.com/thunlp/OpenNRE
```
Translate (π₯14 Β· β 680) - Translate - a PyTorch Language Library. BSD-3
+
+- [GitHub](https://github.com/pytorch/translate) (π¨βπ» 84 Β· π 160 Β· π 93 - 70% open Β· β±οΈ 29.12.2020):
+
+ ```
+ git clone https://github.com/pytorch/translate
+ ```
+- [PyPi](https://pypi.org/project/pytorch-translate) (π₯ 2 / month Β· β±οΈ 01.05.2018):
+ ```
+ pip install pytorch-translate
+ ```
+TransferNLP (π₯14 Β· β 280 Β· π€) - NLP library designed for reproducible experimentation.. MIT
- [GitHub](https://github.com/feedly/transfer-nlp) (π¨βπ» 7 Β· π 18 Β· π 23 - 17% open Β· β±οΈ 28.05.2020):
@@ -2314,35 +2346,34 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/feedly/transfer-nlp
```
-- [PyPi](https://pypi.org/project/transfer-nlp) (π₯ 42 / month Β· β±οΈ 28.05.2020):
+- [PyPi](https://pypi.org/project/transfer-nlp) (π₯ 41 / month Β· β±οΈ 28.05.2020):
```
pip install transfer-nlp
```
textvec (π₯14 Β· β 150) - Text vectorization tool to outperform TFIDF for classification tasks. MIT
+textvec (π₯14 Β· β 160) - Text vectorization tool to outperform TFIDF for classification tasks. MIT
- [GitHub](https://github.com/textvec/textvec) (π¨βπ» 5 Β· π 21 Β· π¦ 2 Β· π 8 - 25% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/textvec/textvec
```
-- [PyPi](https://pypi.org/project/textvec) (π₯ 72 / month Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/textvec) (π₯ 61 / month Β· β±οΈ 03.12.2020):
```
pip install textvec
```
Show 10 hidden projects...
+Show 9 hidden projects...
-- gensim (π₯35 Β· β 12K) - Topic Modelling for Humans. βοΈLGPL-2.1
- fuzzywuzzy (π₯29 Β· β 7.8K Β· π€) - Fuzzy String Matching in Python. βοΈGPL-2.0
- langid (π₯26 Β· β 1.7K Β· π) - Stand-alone language identification system. BSD-3
- polyglot (π₯24 Β· β 1.8K) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
- anaGo (π₯22 Β· β 1.4K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT Apache-2 Apache-2 BSD-3
- pyfasttext (π₯19 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
- NeuroNER (π₯18 Β· β 1.5K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
-- ONNX-T5 (π₯11 Β· β 130 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
+- ONNX-T5 (π₯13 Β· β 140 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
@@ -2354,28 +2385,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯39 Β· β 8.1K) - The friendly PIL fork (Python Imaging Library). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 340 Β· π 1.6K Β· π¦ 390K Β· π 2.1K - 11% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 340 Β· π 1.6K Β· π¦ 390K Β· π 2.1K - 11% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 13M / month Β· π¦ 110K Β· β±οΈ 02.01.2021):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 11M / month Β· π¦ 110K Β· β±οΈ 02.01.2021):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 6.8M Β· β±οΈ 11.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 6.9M Β· β±οΈ 11.01.2021):
```
conda install -c conda-forge pillow
```
torchvision (π₯36 Β· β 8.2K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 350 Β· π 4.3K Β· π¦ 40K Β· π 1.5K - 29% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 360 Β· π 4.3K Β· π¦ 40K Β· π 1.5K - 29% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 640K / month Β· π¦ 4.6K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 520K / month Β· π¦ 4.6K Β· β±οΈ 10.12.2020):
```
pip install torchvision
```
@@ -2384,46 +2415,46 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge torchvision
```
scikit-image (π₯36 Β· β 4.1K) - Image processing in Python. BSD-2
+scikit-image (π₯36 Β· β 4.2K) - Image processing in Python. BSD-2
-- [GitHub](https://github.com/scikit-image/scikit-image) (π¨βπ» 480 Β· π 1.7K Β· π¦ 59K Β· π 2.1K - 30% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/scikit-image/scikit-image) (π¨βπ» 480 Β· π 1.7K Β· π¦ 60K Β· π 2.1K - 30% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/scikit-image/scikit-image
```
-- [PyPi](https://pypi.org/project/scikit-image) (π₯ 1.7M / month Β· π¦ 15K Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/scikit-image) (π₯ 1.4M / month Β· π¦ 15K Β· β±οΈ 23.12.2020):
```
pip install scikit-image
```
-- [Conda](https://anaconda.org/conda-forge/scikit-image) (π₯ 2.1M Β· β±οΈ 23.12.2020):
+- [Conda](https://anaconda.org/conda-forge/scikit-image) (π₯ 2.1M Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge scikit-image
```
imgaug (π₯31 Β· β 11K Β· π€) - Image augmentation for machine learning experiments. MIT
-- [GitHub](https://github.com/aleju/imgaug) (π¨βπ» 36 Β· π 2K Β· π¦ 5.1K Β· π 420 - 51% open Β· β±οΈ 01.06.2020):
+- [GitHub](https://github.com/aleju/imgaug) (π¨βπ» 36 Β· π 2K Β· π¦ 5.2K Β· π 420 - 51% open Β· β±οΈ 01.06.2020):
```
git clone https://github.com/aleju/imgaug
```
-- [PyPi](https://pypi.org/project/imgaug) (π₯ 120K / month Β· π¦ 280 Β· β±οΈ 05.02.2020):
+- [PyPi](https://pypi.org/project/imgaug) (π₯ 100K / month Β· π¦ 280 Β· β±οΈ 05.02.2020):
```
pip install imgaug
```
-- [Conda](https://anaconda.org/conda-forge/imgaug) (π₯ 31K Β· β±οΈ 14.02.2020):
+- [Conda](https://anaconda.org/conda-forge/imgaug) (π₯ 32K Β· β±οΈ 14.02.2020):
```
conda install -c conda-forge imgaug
```
imageio (π₯31 Β· β 820) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 71 Β· π 170 Β· π¦ 35K Β· π 340 - 19% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 71 Β· π 170 Β· π¦ 36K Β· π 340 - 19% open Β· β±οΈ 08.01.2021):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 1.7M / month Β· π¦ 3.8K Β· β±οΈ 06.07.2020):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 1.5M / month Β· π¦ 3.8K Β· β±οΈ 06.07.2020):
```
pip install imageio
```
@@ -2432,21 +2463,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imageio
```
opencv-python (π₯30 Β· β 1.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+opencv-python (π₯30 Β· β 1.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/skvark/opencv-python) (π¨βπ» 27 Β· π 310 Β· π 390 - 4% open Β· β±οΈ 28.12.2020):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 27 Β· π 310 Β· π 390 - 4% open Β· β±οΈ 28.12.2020):
```
git clone https://github.com/skvark/opencv-python
```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 2.1M / month Β· π¦ 13K Β· β±οΈ 02.01.2021):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 1.7M / month Β· π¦ 13K Β· β±οΈ 02.01.2021):
```
pip install opencv-python
```
Wand (π₯30 Β· β 1K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 94 Β· π 180 Β· π₯ 5.2K Β· π¦ 3.1K Β· π 330 - 3% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 94 Β· π 180 Β· π₯ 5.2K Β· π¦ 3.2K Β· π 330 - 3% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/emcconville/wand
@@ -2463,35 +2494,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/ageitgey/face_recognition
```
-- [PyPi](https://pypi.org/project/face_recognition) (π₯ 27K / month Β· π¦ 410 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/face_recognition) (π₯ 23K / month Β· π¦ 410 Β· β±οΈ 21.08.2018):
```
pip install face_recognition
```
MoviePy (π₯29 Β· β 7.2K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 140 Β· π 1K Β· π¦ 5.7K Β· π 1K - 33% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 140 Β· π 1K Β· π¦ 5.8K Β· π 1K - 32% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 110K / month Β· π¦ 1.1K Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 99K / month Β· π¦ 1.1K Β· β±οΈ 05.10.2020):
```
pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 72K Β· β±οΈ 23.02.2020):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 73K Β· β±οΈ 23.02.2020):
```
conda install -c conda-forge moviepy
```
Albumentations (π₯28 Β· β 7.1K) - Fast image augmentation library and easy to use wrapper.. MIT
+Albumentations (π₯28 Β· β 7.2K) - Fast image augmentation library and easy to use wrapper.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 72 Β· π 920 Β· π¦ 2.6K Β· π 400 - 42% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 72 Β· π 920 Β· π¦ 2.6K Β· π 410 - 42% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 56K / month Β· π¦ 130 Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 50K / month Β· π¦ 130 Β· β±οΈ 29.11.2020):
```
pip install albumentations
```
@@ -2500,21 +2531,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge albumentations
```
GluonCV (π₯28 Β· β 4.5K) - Gluon CV Toolkit. Apache-2
-
-- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 110 Β· π 1K Β· π¦ 400 Β· π 740 - 49% open Β· β±οΈ 20.01.2021):
-
- ```
- git clone https://github.com/dmlc/gluon-cv
- ```
-- [PyPi](https://pypi.org/project/gluoncv) (π₯ 66K / month Β· π¦ 30 Β· β±οΈ 20.01.2021):
- ```
- pip install gluoncv
- ```
-Kornia (π₯28 Β· β 3.5K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 83 Β· π 350 Β· π¦ 240 Β· π 350 - 29% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 83 Β· π 350 Β· π¦ 250 Β· π 350 - 29% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/kornia/kornia
@@ -2531,7 +2550,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/jrosebr1/imutils
```
-- [PyPi](https://pypi.org/project/imutils) (π₯ 150K / month Β· π¦ 1.2K Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/imutils) (π₯ 120K / month Β· π¦ 1.2K Β· β±οΈ 15.01.2021):
```
pip install imutils
```
@@ -2547,18 +2566,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 310K / month Β· π¦ 530 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 250K / month Β· π¦ 530 Β· β±οΈ 19.11.2020):
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 98K Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 99K Β· β±οΈ 19.11.2020):
```
conda install -c conda-forge imagehash
```
PyTorch Image Models (π₯27 Β· β 6.7K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+PyTorch Image Models (π₯27 Β· β 6.8K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- [GitHub](https://github.com/rwightman/pytorch-image-models) (π¨βπ» 26 Β· π 940 Β· π₯ 190K Β· π¦ 260 Β· π 230 - 9% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/rwightman/pytorch-image-models) (π¨βπ» 26 Β· π 940 Β· π₯ 200K Β· π¦ 270 Β· π 240 - 9% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/rwightman/pytorch-image-models
@@ -2566,19 +2585,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageai (π₯27 Β· β 5.8K) - A python library built to empower developers to build applications and.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 13 Β· π 1.6K Β· π₯ 530K Β· π¦ 660 Β· π 590 - 31% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 13 Β· π 1.6K Β· π₯ 530K Β· π¦ 670 Β· π 590 - 31% open Β· β±οΈ 05.01.2021):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 5.2K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 4.7K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
```
pip install imageai
```
GluonCV (π₯27 Β· β 4.5K) - Gluon CV Toolkit. Apache-2
+
+- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 110 Β· π 1K Β· π¦ 410 Β· π 740 - 48% open Β· β±οΈ 27.01.2021):
+
+ ```
+ git clone https://github.com/dmlc/gluon-cv
+ ```
+- [PyPi](https://pypi.org/project/gluoncv) (π₯ 50K / month Β· π¦ 30 Β· β±οΈ 27.01.2021):
+ ```
+ pip install gluoncv
+ ```
+detectron2 (π₯26 Β· β 15K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 140 Β· π 3.7K Β· π¦ 150 Β· π 2.2K - 4% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 140 Β· π 3.7K Β· π¦ 150 Β· π 2.2K - 4% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2588,21 +2619,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge detectron2
```
InsightFace (π₯26 Β· β 8.4K) - Face Analysis Project on MXNet. MIT
+InsightFace (π₯26 Β· β 8.5K) - Face Analysis Project on MXNet. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 15 Β· π 2.9K Β· π¦ 51 Β· π 1.3K - 52% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 15 Β· π 2.9K Β· π¦ 51 Β· π 1.4K - 52% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 3K / month Β· π¦ 1 Β· β±οΈ 07.09.2019):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 07.09.2019):
```
pip install insightface
```
MMDetection (π₯25 Β· β 13K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 180 Β· π 4.6K Β· π¦ 18 Β· π 3.3K - 10% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 180 Β· π 4.6K Β· π¦ 23 Β· π 3.3K - 9% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/open-mmlab/mmdetection
@@ -2615,35 +2646,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/mdbloice/Augmentor
```
-- [PyPi](https://pypi.org/project/Augmentor) (π₯ 2.9K / month Β· π¦ 42 Β· β±οΈ 17.01.2020):
+- [PyPi](https://pypi.org/project/Augmentor) (π₯ 3.4K / month Β· π¦ 42 Β· β±οΈ 17.01.2020):
```
pip install Augmentor
```
PyTorch3D (π₯25 Β· β 4.2K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT
+PyTorch3D (π₯25 Β· β 4.3K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT
-- [GitHub](https://github.com/facebookresearch/pytorch3d) (π¨βπ» 50 Β· π 470 Β· π¦ 44 Β· π 470 - 11% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/facebookresearch/pytorch3d) (π¨βπ» 52 Β· π 470 Β· π¦ 45 Β· π 470 - 11% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/facebookresearch/pytorch3d
```
-- [PyPi](https://pypi.org/project/pytorch3d) (π₯ 4.1K / month Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/pytorch3d) (π₯ 3.7K / month Β· β±οΈ 12.11.2020):
```
pip install pytorch3d
```
-- [Conda](https://anaconda.org/pytorch3d/pytorch3d) (π₯ 5.8K Β· β±οΈ 12.11.2020):
+- [Conda](https://anaconda.org/pytorch3d/pytorch3d) (π₯ 6K Β· β±οΈ 12.11.2020):
```
conda install -c pytorch3d pytorch3d
```
facenet-pytorch (π₯25 Β· β 1.8K) - Pretrained Pytorch face detection (MTCNN) and recognition.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 11 Β· π 380 Β· π₯ 53K Β· π¦ 260 Β· π 110 - 23% open Β· β±οΈ 19.11.2020):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 11 Β· π 380 Β· π₯ 56K Β· π¦ 260 Β· π 110 - 23% open Β· β±οΈ 19.11.2020):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 3.7K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 3.1K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
```
pip install facenet-pytorch
```
@@ -2655,35 +2686,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/chainer/chainercv
```
-- [PyPi](https://pypi.org/project/chainercv) (π₯ 3.3K / month Β· π¦ 24 Β· β±οΈ 31.05.2019):
+- [PyPi](https://pypi.org/project/chainercv) (π₯ 3K / month Β· π¦ 24 Β· β±οΈ 31.05.2019):
```
pip install chainercv
```
mtcnn (π₯25 Β· β 1.4K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
-- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 14 Β· π 370 Β· π¦ 830 Β· π 89 - 59% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 14 Β· π 370 Β· π¦ 840 Β· π 89 - 59% open Β· β±οΈ 13.01.2021):
```
git clone https://github.com/ipazc/mtcnn
```
-- [PyPi](https://pypi.org/project/mtcnn) (π₯ 12K / month Β· π¦ 42 Β· β±οΈ 14.11.2019):
+- [PyPi](https://pypi.org/project/mtcnn) (π₯ 10K / month Β· π¦ 42 Β· β±οΈ 14.11.2019):
```
pip install mtcnn
```
mahotas (π₯25 Β· β 660) - Computer Vision in Python. MIT
-- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 30 Β· π 120 Β· π¦ 550 Β· π 70 - 18% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 30 Β· π 130 Β· π¦ 560 Β· π 73 - 21% open Β· β±οΈ 13.01.2021):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.3K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.7K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 250K Β· β±οΈ 01.11.2020):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 250K Β· β±οΈ 22.01.2021):
```
conda install -c conda-forge mahotas
```
@@ -2695,7 +2726,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 3.7K / month Β· π¦ 6 Β· β±οΈ 22.12.2020):
```
pip install face-alignment
```
@@ -2707,14 +2738,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 11K / month Β· π¦ 12 Β· β±οΈ 10.01.2020):
```
pip install segmentation_models
```
vidgear (π₯23 Β· β 1.6K) - High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 5 Β· π 110 Β· π₯ 300 Β· π¦ 77 Β· π 130 - 3% open Β· β±οΈ 01.01.2021):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 5 Β· π 110 Β· π₯ 300 Β· π¦ 80 Β· π 130 - 2% open Β· β±οΈ 01.01.2021):
```
git clone https://github.com/abhiTronix/vidgear
@@ -2724,43 +2755,59 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install vidgear
```
Image Deduplicator (π₯22 Β· β 3.3K) - Finding duplicate images made easy!. Apache-2
+Image Deduplicator (π₯22 Β· β 3.4K) - Finding duplicate images made easy!. Apache-2
- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 9 Β· π 280 Β· π¦ 8 Β· π 70 - 24% open Β· β±οΈ 23.11.2020):
```
git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 22.11.2020):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 22.11.2020):
```
pip install imagededup
```
CellProfiler (π₯22 Β· β 530) - An open-source application for biological image analysis. BSD-3
+Image Super-Resolution (π₯22 Β· β 2.5K) - Super-scale your images and run experiments with.. Apache-2
+
+- [GitHub](https://github.com/idealo/image-super-resolution) (π¨βπ» 9 Β· π 480 Β· π¦ 39 Β· π 150 - 33% open Β· β±οΈ 11.11.2020):
+
+ ```
+ git clone https://github.com/idealo/image-super-resolution
+ ```
+- [PyPi](https://pypi.org/project/ISR) (π₯ 2K / month Β· π¦ 4 Β· β±οΈ 08.01.2020):
+ ```
+ pip install ISR
+ ```
+- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (π₯ 120 Β· β±οΈ 01.04.2019):
+ ```
+ docker pull idealo/image-super-resolution-gpu
+ ```
+CellProfiler (π₯22 Β· β 540) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 120 Β· π 270 Β· π₯ 550 Β· π¦ 3 Β· π 2.9K - 5% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 120 Β· π 270 Β· π₯ 590 Β· π¦ 3 Β· π 2.9K - 5% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 99 / month Β· β±οΈ 04.09.2017):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 98 / month Β· β±οΈ 04.09.2017):
```
pip install cellprofiler
```
Caer (π₯22 Β· β 330 Β· π£) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
+Caer (π₯22 Β· β 420 Β· π£) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 3 Β· π 39 Β· π₯ 14 Β· π 10 - 30% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 4 Β· π 40 Β· π₯ 14 Β· π 13 - 38% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/jasmcaus/caer
```
-- [PyPi](https://pypi.org/project/caer) (π₯ 620K / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/caer) (π₯ 530K / month Β· β±οΈ 23.01.2021):
```
pip install caer
```
pyvips (π₯22 Β· β 280) - python binding for libvips using cffi. MIT
+pyvips (π₯22 Β· β 290) - python binding for libvips using cffi. MIT
- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 10 Β· π 25 Β· π¦ 140 Β· π 200 - 34% open Β· β±οΈ 27.12.2020):
@@ -2771,35 +2818,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install pyvips
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 6K Β· β±οΈ 14.10.2020):
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 6.1K Β· β±οΈ 14.10.2020):
```
conda install -c conda-forge pyvips
```
Image Super-Resolution (π₯21 Β· β 2.4K) - Super-scale your images and run experiments with.. Apache-2
-
-- [GitHub](https://github.com/idealo/image-super-resolution) (π¨βπ» 9 Β· π 470 Β· π¦ 38 Β· π 150 - 33% open Β· β±οΈ 11.11.2020):
-
- ```
- git clone https://github.com/idealo/image-super-resolution
- ```
-- [PyPi](https://pypi.org/project/ISR) (π₯ 2.4K / month Β· π¦ 4 Β· β±οΈ 08.01.2020):
- ```
- pip install ISR
- ```
-- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (π₯ 120 Β· β±οΈ 01.04.2019):
- ```
- docker pull idealo/image-super-resolution-gpu
- ```
-tensorflow-graphics (π₯21 Β· β 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 30 Β· π 270 Β· π 170 - 51% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 32 Β· π 280 Β· π 180 - 55% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 910 / month Β· π¦ 3 Β· β±οΈ 20.05.2020):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 850 / month Β· π¦ 3 Β· β±οΈ 20.05.2020):
```
pip install tensorflow-graphics
```
@@ -2811,19 +2842,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tryolabs/luminoth
```
-- [PyPi](https://pypi.org/project/luminoth) (π₯ 490 / month Β· β±οΈ 09.11.2018):
+- [PyPi](https://pypi.org/project/luminoth) (π₯ 450 / month Β· β±οΈ 09.11.2018):
```
pip install luminoth
```
nude.py (π₯21 Β· β 790) - Nudity detection with Python. MIT
+
+- [GitHub](https://github.com/hhatto/nude.py) (π¨βπ» 12 Β· π 130 Β· π¦ 61 Β· π 8 - 75% open Β· β±οΈ 23.11.2020):
+
+ ```
+ git clone https://github.com/hhatto/nude.py
+ ```
+- [PyPi](https://pypi.org/project/nudepy) (π₯ 1.4K / month Β· π¦ 9 Β· β±οΈ 23.11.2020):
+ ```
+ pip install nudepy
+ ```
+MMF (π₯20 Β· β 4.1K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 50 Β· π 590 Β· π¦ 6 Β· π 410 - 21% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 52 Β· π 590 Β· π¦ 6 Β· π 420 - 22% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 140 / month Β· β±οΈ 11.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 78 / month Β· β±οΈ 11.06.2020):
```
pip install mmf
```
@@ -2835,19 +2878,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/EdjoLabs/image-match
```
-- [PyPi](https://pypi.org/project/image_match) (π₯ 280 / month Β· π¦ 3 Β· β±οΈ 13.02.2017):
+- [PyPi](https://pypi.org/project/image_match) (π₯ 310 / month Β· π¦ 3 Β· β±οΈ 13.02.2017):
```
pip install image_match
```
Classy Vision (π₯20 Β· β 1.1K) - An end-to-end PyTorch framework for image and video.. MIT
-- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 54 Β· π 190 Β· π 89 - 51% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 55 Β· π 190 Β· π 92 - 50% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/facebookresearch/ClassyVision
```
-- [PyPi](https://pypi.org/project/classy_vision) (π₯ 130 / month Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/classy_vision) (π₯ 110 / month Β· β±οΈ 20.11.2020):
```
pip install classy_vision
```
@@ -2858,75 +2901,63 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Torch Points 3D (π₯20 Β· β 1K) - Pytorch framework for doing deep learning on point clouds. BSD-3
-- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (π¨βπ» 20 Β· π 150 Β· π¦ 2 Β· π 200 - 21% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (π¨βπ» 20 Β· π 150 Β· π¦ 2 Β· π 200 - 20% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/nicolas-chaulet/torch-points3d
```
-- [PyPi](https://pypi.org/project/torch-points3d) (π₯ 250 / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/torch-points3d) (π₯ 200 / month Β· β±οΈ 18.12.2020):
```
pip install torch-points3d
```
nude.py (π₯20 Β· β 790) - Nudity detection with Python. MIT
+vit-pytorch (π₯18 Β· β 2.4K Β· π£) - Implementation of Vision Transformer, a simple way to.. MIT
-- [GitHub](https://github.com/hhatto/nude.py) (π¨βπ» 12 Β· π 130 Β· π¦ 56 Β· π 8 - 75% open Β· β±οΈ 23.11.2020):
-
- ```
- git clone https://github.com/hhatto/nude.py
- ```
-- [PyPi](https://pypi.org/project/nudepy) (π₯ 810 / month Β· π¦ 9 Β· β±οΈ 23.11.2020):
- ```
- pip install nudepy
- ```
-vit-pytorch (π₯19 Β· β 2.3K Β· π£) - Implementation of Vision Transformer, a simple way to.. MIT
-
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 4 Β· π 200 Β· π¦ 4 Β· π 60 - 36% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 4 Β· π 220 Β· π¦ 5 Β· π 61 - 36% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 1.2K / month Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 820 / month Β· β±οΈ 11.01.2021):
```
pip install vit-pytorch
```
Norfair (π₯18 Β· β 780 Β· π£) - Lightweight Python library for adding real-time 2D object tracking.. BSD-3
+Norfair (π₯18 Β· β 860 Β· π£) - Lightweight Python library for adding real-time 2D object tracking.. BSD-3
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 7 Β· π 46 Β· π 18 - 27% open Β· β±οΈ 22.12.2020):
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 7 Β· π 49 Β· π 18 - 27% open Β· β±οΈ 22.12.2020):
```
git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 250 / month Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 210 / month Β· β±οΈ 07.12.2020):
```
pip install norfair
```
PaddleDetection (π₯17 Β· β 2.2K) - Object detection and instance segmentation toolkit.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 43 Β· π 610 Β· π 1.1K - 25% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 43 Β· π 620 Β· π 1.2K - 27% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
lightly (π₯17 Β· β 400 Β· π£) - A python library for self-supervised learning on images. MIT
+lightly (π₯16 Β· β 400 Β· π£) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 5 Β· π 21 Β· π¦ 1 Β· π 42 - 54% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 5 Β· π 20 Β· π¦ 2 Β· π 47 - 53% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 160 / month Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 150 / month Β· β±οΈ 11.01.2021):
```
pip install lightly
```
DEβ«ΆTR (π₯14 Β· β 6K) - End-to-End Object Detection with Transformers. Apache-2
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 19 Β· π 870 Β· π 260 - 21% open Β· β±οΈ 15.11.2020):
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 19 Β· π 880 Β· π 270 - 22% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/facebookresearch/detr
@@ -2934,7 +2965,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PySlowFast (π₯14 Β· β 3.3K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 19 Β· π 620 Β· π¦ 2 Β· π 340 - 46% open Β· β±οΈ 07.01.2021):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 19 Β· π 620 Β· π¦ 2 Β· π 340 - 46% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/facebookresearch/SlowFast
@@ -2961,14 +2992,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (π₯37 Β· β 8.5K) - Network Analysis in Python. BSD-3
+networkx (π₯37 Β· β 8.6K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 490 Β· π 2.2K Β· π₯ 51 Β· π¦ 65K Β· π 2.6K - 10% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 490 Β· π 2.2K Β· π₯ 51 Β· π¦ 66K Β· π 2.6K - 10% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 4.9M / month Β· π¦ 21K Β· β±οΈ 22.08.2020):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 4.4M / month Β· π¦ 21K Β· β±οΈ 22.08.2020):
```
pip install networkx
```
@@ -2979,43 +3010,43 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (π₯28 Β· β 10K) - Geometric Deep Learning Extension Library for PyTorch. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_geometric) (π¨βπ» 140 Β· π 1.7K Β· π 1.8K - 37% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/rusty1s/pytorch_geometric) (π¨βπ» 140 Β· π 1.7K Β· π 1.8K - 38% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/rusty1s/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 12K / month Β· π¦ 24 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 11K / month Β· π¦ 24 Β· β±οΈ 27.11.2020):
```
pip install torch-geometric
```
dgl (π₯27 Β· β 6.5K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2
+dgl (π₯27 Β· β 6.6K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 100 Β· π 1.3K Β· π 900 - 23% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 100 Β· π 1.3K Β· π 920 - 24% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 12K / month Β· π¦ 30 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 10K / month Β· π¦ 30 Β· β±οΈ 27.01.2021):
```
pip install dgl
```
StellarGraph (π₯25 Β· β 1.7K) - StellarGraph - Machine Learning on Graphs. Apache-2
-- [GitHub](https://github.com/stellargraph/stellargraph) (π¨βπ» 29 Β· π 250 Β· π¦ 43 Β· π 910 - 23% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/stellargraph/stellargraph) (π¨βπ» 29 Β· π 250 Β· π¦ 43 Β· π 910 - 23% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/stellargraph/stellargraph
```
-- [PyPi](https://pypi.org/project/stellargraph) (π₯ 5.5K / month Β· π¦ 2 Β· β±οΈ 25.06.2020):
+- [PyPi](https://pypi.org/project/stellargraph) (π₯ 4.2K / month Β· π¦ 2 Β· β±οΈ 25.06.2020):
```
pip install stellargraph
```
Spektral (π₯23 Β· β 1.6K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 16 Β· π 190 Β· π¦ 26 Β· π 120 - 18% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 16 Β· π 190 Β· π¦ 28 Β· π 120 - 18% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/danielegrattarola/spektral
@@ -3027,7 +3058,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
ogb (π₯22 Β· β 720) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 12 Β· π 98 Β· π¦ 43 Β· π 88 - 1% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 12 Β· π 110 Β· π¦ 44 Β· β±οΈ 23.01.2021):
```
git clone https://github.com/snap-stanford/ogb
@@ -3037,14 +3068,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install ogb
```
Node2Vec (π₯22 Β· β 620) - Implementation of the node2vec algorithm. MIT
+Node2Vec (π₯22 Β· β 630) - Implementation of the node2vec algorithm. MIT
- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 7 Β· π 160 Β· π¦ 110 Β· β±οΈ 09.01.2021):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 4.3K / month Β· π¦ 10 Β· β±οΈ 09.01.2021):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 3.7K / month Β· π¦ 10 Β· β±οΈ 09.01.2021):
```
pip install node2vec
```
@@ -3053,14 +3084,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
torch-cluster (π₯21 Β· β 320) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+torch-cluster (π₯21 Β· β 330) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 17 Β· π 67 Β· π 72 - 48% open Β· β±οΈ 03.01.2021):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 2.6K / month Β· π¦ 32 Β· β±οΈ 31.10.2020):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 2.2K / month Β· π¦ 32 Β· β±οΈ 31.10.2020):
```
pip install torch-cluster
```
@@ -3072,7 +3103,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 500 / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 540 / month Β· β±οΈ 25.08.2020):
```
pip install ampligraph
```
@@ -3084,19 +3115,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/deepmind/graph_nets
```
-- [PyPi](https://pypi.org/project/graph-nets) (π₯ 670 / month Β· π¦ 7 Β· β±οΈ 29.01.2020):
+- [PyPi](https://pypi.org/project/graph-nets) (π₯ 600 / month Β· π¦ 7 Β· β±οΈ 29.01.2020):
```
pip install graph-nets
```
PyTorch-BigGraph (π₯19 Β· β 2.7K) - Generate embeddings from large-scale graph-structured.. BSD-3
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 19 Β· π 360 Β· π₯ 100 Β· π 130 - 23% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 19 Β· π 360 Β· π₯ 110 Β· π 130 - 23% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 250 / month Β· π¦ 4 Β· β±οΈ 01.05.2019):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 260 / month Β· π¦ 4 Β· β±οΈ 01.05.2019):
```
pip install torchbiggraph
```
@@ -3108,19 +3139,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 410 / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 310 / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
```
pip install pgl
```
PyKEEN (π₯19 Β· β 280) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (π₯19 Β· β 290) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 17 Β· π 44 Β· π₯ 73 Β· π 110 - 44% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 17 Β· π 48 Β· π₯ 73 Β· π 120 - 42% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 180 / month Β· π¦ 1 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 160 / month Β· π¦ 1 Β· β±οΈ 20.01.2021):
```
pip install pykeen
```
@@ -3132,7 +3163,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/deepgraph/deepgraph
```
-- [PyPi](https://pypi.org/project/deepgraph) (π₯ 230 / month Β· β±οΈ 01.10.2020):
+- [PyPi](https://pypi.org/project/deepgraph) (π₯ 190 / month Β· β±οΈ 01.10.2020):
```
pip install deepgraph
```
@@ -3143,19 +3174,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
kglib (π₯17 Β· β 390) - Grakn Knowledge Graph Library (ML R&D). Apache-2
-- [GitHub](https://github.com/graknlabs/kglib) (π¨βπ» 7 Β· π 70 Β· π₯ 210 Β· π 59 - 16% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/graknlabs/kglib) (π¨βπ» 7 Β· π 71 Β· π₯ 210 Β· π 59 - 16% open Β· β±οΈ 15.01.2021):
```
git clone https://github.com/graknlabs/kglib
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 48 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 50 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
pytorch_geometric_temporal (π₯16 Β· β 310) - A Temporal Extension Library for PyTorch Geometric. MIT
+pytorch_geometric_temporal (π₯16 Β· β 330) - A Temporal Extension Library for PyTorch Geometric. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 3 Β· π 31 Β· π 16 - 6% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 3 Β· π 37 Β· π 16 - 6% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
@@ -3177,27 +3208,27 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install euler-gl
```
GraphEmbedding (π₯14 Β· β 1.7K) - Implementation and experiments of graph embedding algorithms. MIT
+GraphEmbedding (π₯14 Β· β 1.8K) - Implementation and experiments of graph embedding algorithms. MIT
-- [GitHub](https://github.com/shenweichen/GraphEmbedding) (π¨βπ» 6 Β· π 540 Β· π¦ 7 Β· π 40 - 67% open Β· β±οΈ 18.10.2020):
+- [GitHub](https://github.com/shenweichen/GraphEmbedding) (π¨βπ» 6 Β· π 550 Β· π¦ 7 Β· π 40 - 67% open Β· β±οΈ 18.10.2020):
```
git clone https://github.com/shenweichen/GraphEmbedding
```
AutoGL (π₯14 Β· β 570 Β· π£) - An autoML framework & toolkit for machine learning on graphs. MIT
+AutoGL (π₯14 Β· β 580 Β· π£) - An autoML framework & toolkit for machine learning on graphs. MIT
-- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 4 Β· π 49 Β· π 5 - 60% open Β· β±οΈ 29.12.2020):
+- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 4 Β· π 53 Β· π 6 - 66% open Β· β±οΈ 29.12.2020):
```
git clone https://github.com/THUMNLab/AutoGL
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 150 / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 75 / month Β· β±οΈ 23.12.2020):
```
pip install auto-graph-learning
```
OpenKE (π₯13 Β· β 2.3K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
+OpenKE (π₯13 Β· β 2.4K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 10 Β· π 740 Β· π 270 - 18% open Β· β±οΈ 08.04.2020):
@@ -3207,7 +3238,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
GraphVite (π₯13 Β· β 840) - GraphVite: A General and High-performance Graph Embedding System. Apache-2
-- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 120 Β· π 78 - 32% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 120 Β· π 79 - 30% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/DeepGraphLearning/graphvite
@@ -3222,9 +3253,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- igraph (π₯27 Β· β 760) - Python interface for igraph. βοΈGPL-2.0
- pygal (π₯26 Β· β 2.3K) - PYthon svg GrAph plotting Library. βοΈLGPL-3.0
- Karate Club (π₯21 Β· β 1.1K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
-- DeepWalk (π₯19 Β· β 2.2K Β· π€) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
+- DeepWalk (π₯18 Β· β 2.2K Β· π€) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
- Sematch (π₯17 Β· β 340 Β· π) - semantic similarity framework for knowledge graph. Apache-2
-- pyRDF2Vec (π₯15 Β· β 79 Β· β) - Python Implementation and Extension of RDF2Vec. MIT
+- pyRDF2Vec (π₯15 Β· β 80) - Python Implementation and Extension of RDF2Vec. MIT
- GraphSAGE (π₯14 Β· β 2.1K Β· π) - Representation learning on large graphs using stochastic.. MIT MIT DeepSpeech (π₯31 Β· β 16K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
-
-- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 150 Β· π 3K Β· π₯ 410K Β· π¦ 380 Β· π 1.9K - 4% open Β· β±οΈ 20.01.2021):
-
- ```
- git clone https://github.com/mozilla/DeepSpeech
- ```
-- [PyPi](https://pypi.org/project/deepspeech) (π₯ 11K / month Β· π¦ 29 Β· β±οΈ 19.12.2020):
- ```
- pip install deepspeech
- ```
-Magenta (π₯29 Β· β 16K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 140 Β· π 3.3K Β· π¦ 260 Β· π 830 - 35% open Β· β±οΈ 19.01.2021):
@@ -3255,14 +3274,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 4.6K / month Β· π¦ 35 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 3.8K / month Β· π¦ 35 Β· β±οΈ 12.11.2020):
```
pip install magenta
```
Pydub (π₯29 Β· β 5K) - Manipulate audio with a simple and easy high level interface. MIT
+Pydub (π₯29 Β· β 5.1K) - Manipulate audio with a simple and easy high level interface. MIT
-- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 80 Β· π 690 Β· π¦ 5.7K Β· π 410 - 43% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 80 Β· π 690 Β· π¦ 5.8K Β· π 410 - 43% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/jiaaro/pydub
@@ -3278,12 +3297,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
torchaudio (π₯29 Β· β 1.2K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 86 Β· π 260 Β· π¦ 1.2K Β· π 400 - 38% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 86 Β· π 270 Β· π¦ 1.3K Β· π 400 - 37% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 66K / month Β· π¦ 9 Β· β±οΈ 27.10.2020):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 62K / month Β· π¦ 9 Β· β±οΈ 27.10.2020):
```
pip install torchaudio
```
@@ -3295,7 +3314,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 250K / month Β· π¦ 590 Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 230K / month Β· π¦ 590 Β· β±οΈ 20.10.2020):
```
pip install audioread
```
@@ -3304,14 +3323,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge audioread
```
librosa (π₯26 Β· β 4.2K) - Python library for audio and music analysis. ISC
+librosa (π₯26 Β· β 4.3K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 80 Β· π 680 Β· π¦ 9K Β· π 830 - 6% open Β· β±οΈ 11.09.2020):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 80 Β· π 680 Β· π¦ 9.1K Β· π 830 - 6% open Β· β±οΈ 11.09.2020):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 270K / month Β· π¦ 1.8K Β· β±οΈ 22.07.2020):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 240K / month Β· π¦ 1.8K Β· β±οΈ 22.07.2020):
```
pip install librosa
```
@@ -3320,14 +3339,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge librosa
```
DeepSpeech (π₯25 Β· β 16K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0
+
+- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 93 Β· π 3K):
+
+ ```
+ git clone https://github.com/mozilla/DeepSpeech
+ ```
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 8.3K / month Β· π¦ 29 Β· β±οΈ 19.12.2020):
+ ```
+ pip install deepspeech
+ ```
+spleeter (π₯25 Β· β 15K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 17 Β· π 1.6K Β· π₯ 900K Β· π 500 - 18% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 17 Β· π 1.6K Β· π₯ 910K Β· π 500 - 19% open Β· β±οΈ 15.01.2021):
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 5.7K / month Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 5K / month Β· β±οΈ 08.01.2021):
```
pip install spleeter
```
@@ -3343,31 +3374,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 5.4K / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 5.3K / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
```
pip install pyAudioAnalysis
```
python-soundfile (π₯25 Β· β 360) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 19 Β· π 41 Β· π₯ 2K Β· π¦ 5.3K Β· π 140 - 39% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 19 Β· π 43 Β· π₯ 2K Β· π¦ 5.4K Β· π 140 - 39% open Β· β±οΈ 01.12.2020):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 330K / month Β· π¦ 740 Β· β±οΈ 19.04.2018):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 300K / month Β· π¦ 740 Β· β±οΈ 19.04.2018):
```
pip install soundfile
```
espnet (π₯24 Β· β 3.3K Β· π) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯24 Β· β 3.4K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 140 Β· π 1K Β· π₯ 59 Β· π¦ 4 Β· π 1.2K - 10% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 140 Β· π 1.1K Β· π₯ 59 Β· π¦ 4 Β· π 1.2K - 11% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 1.1K / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 870 / month Β· β±οΈ 15.01.2021):
```
pip install espnet
```
@@ -3379,7 +3410,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/jameslyons/python_speech_features
```
-- [PyPi](https://pypi.org/project/python_speech_features) (π₯ 50K / month Β· π¦ 300 Β· β±οΈ 16.08.2017):
+- [PyPi](https://pypi.org/project/python_speech_features) (π₯ 41K / month Β· π¦ 300 Β· β±οΈ 16.08.2017):
```
pip install python_speech_features
```
@@ -3391,43 +3422,43 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 2.6K / month Β· π¦ 96 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 2.1K / month Β· π¦ 96 Β· β±οΈ 05.11.2020):
```
pip install tinytag
```
DDSP (π₯22 Β· β 1.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 24 Β· π 160 Β· π¦ 5 Β· π 100 - 12% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 24 Β· π 160 Β· π¦ 5 Β· π 100 - 12% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 940 / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 900 / month Β· β±οΈ 14.01.2021):
```
pip install ddsp
```
kapre (π₯22 Β· β 700) - kapre: Keras Audio Preprocessors. MIT
-- [GitHub](https://github.com/keunwoochoi/kapre) (π¨βπ» 13 Β· π 130 Β· π₯ 7 Β· π¦ 450 Β· π 85 - 5% open Β· β±οΈ 16.11.2020):
+- [GitHub](https://github.com/keunwoochoi/kapre) (π¨βπ» 13 Β· π 130 Β· π₯ 8 Β· π¦ 470 Β· π 85 - 5% open Β· β±οΈ 16.11.2020):
```
git clone https://github.com/keunwoochoi/kapre
```
-- [PyPi](https://pypi.org/project/kapre) (π₯ 840 / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
+- [PyPi](https://pypi.org/project/kapre) (π₯ 870 / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
```
pip install kapre
```
Porcupine (π₯21 Β· β 2.3K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 25 Β· π 330 Β· π¦ 4 Β· π 280 - 2% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 25 Β· π 330 Β· π¦ 4 Β· π 280 - 2% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 780 / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 640 / month Β· β±οΈ 02.10.2020):
```
pip install pvporcupine
```
@@ -3439,14 +3470,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/worldveil/dejavu
```
-- [PyPi](https://pypi.org/project/PyDejavu) (π₯ 81 / month Β· π¦ 1 Β· β±οΈ 19.04.2015):
+- [PyPi](https://pypi.org/project/PyDejavu) (π₯ 68 / month Β· π¦ 1 Β· β±οΈ 19.04.2015):
```
pip install PyDejavu
```
TTS (π₯17 Β· β 3.1K) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- [GitHub](https://github.com/mozilla/TTS) (π¨βπ» 49 Β· π 630 Β· π 440 - 5% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/mozilla/TTS) (π¨βπ» 50 Β· π 660 Β· π 440 - 5% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/mozilla/TTS
@@ -3459,19 +3490,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/bmcfee/muda
```
-- [PyPi](https://pypi.org/project/muda) (π₯ 60 / month Β· π¦ 1 Β· β±οΈ 15.11.2019):
+- [PyPi](https://pypi.org/project/muda) (π₯ 56 / month Β· π¦ 1 Β· β±οΈ 15.11.2019):
```
pip install muda
```
Julius (π₯13 Β· β 170 Β· π£) - Fast PyTorch based DSP for audio and 1D signals. MIT
+Julius (π₯14 Β· β 170 Β· π£) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 2 Β· π 6 Β· π¦ 2 Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 2 Β· π 6 Β· π¦ 3 Β· β±οΈ 26.01.2021):
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (π₯ 180 / month Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/julius) (π₯ 330 / month Β· β±οΈ 26.01.2021):
```
pip install julius
```
@@ -3480,7 +3511,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
- SpeechRecognition (π₯30 Β· β 5.4K Β· π) - Speech recognition module for Python, supporting.. BSD-3
- aubio (π₯26 Β· β 2K) - a library for audio and music analysis. βοΈGPL-3.0
-- Essentia (π₯22 Β· β 1.7K Β· π) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- Essentia (π₯22 Β· β 1.7K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
- Madmom (π₯20 Β· β 710 Β· π) - Python audio and music signal processing library. BSD-3
@@ -3491,22 +3522,22 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
_Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
-pydeck (π₯33 Β· β 8.3K Β· β) - WebGL2 powered geospatial visualization layers. MIT
+pydeck (π₯33 Β· β 8.4K) - WebGL2 powered geospatial visualization layers. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 150 Β· π 1.5K Β· π¦ 1.4K Β· π 2K - 5% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 150 Β· π 1.5K Β· π¦ 1.4K Β· π 2K - 4% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 99K / month Β· π¦ 2 Β· β±οΈ 26.10.2020):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 92K / month Β· π¦ 2 Β· β±οΈ 26.10.2020):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 12K Β· β±οΈ 26.10.2020):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 13K Β· β±οΈ 26.10.2020):
```
conda install -c conda-forge pydeck
```
-- [NPM](https://www.npmjs.com/package/deck.gl) (π₯ 130K / month Β· π¦ 560 Β· β±οΈ 11.01.2021):
+- [NPM](https://www.npmjs.com/package/deck.gl) (π₯ 160K / month Β· π¦ 560 Β· β±οΈ 22.01.2021):
```
npm install deck.gl
```
@@ -3518,7 +3549,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/geopy/geopy
```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 3.8M / month Β· π¦ 7.2K Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/geopy) (π₯ 3.3M / month Β· π¦ 7.2K Β· β±οΈ 27.12.2020):
```
pip install geopy
```
@@ -3529,28 +3560,28 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (π₯33 Β· β 2.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/Toblerity/Shapely) (π¨βπ» 100 Β· π 370 Β· π¦ 16K Β· π 700 - 19% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/Toblerity/Shapely) (π¨βπ» 100 Β· π 380 Β· π¦ 16K Β· π 710 - 19% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/Toblerity/Shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 1.9M / month Β· π¦ 5.5K Β· β±οΈ 20.08.2020):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 1.7M / month Β· π¦ 5.5K Β· β±οΈ 20.08.2020):
```
pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 2M Β· β±οΈ 13.10.2020):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 2M Β· β±οΈ 24.01.2021):
```
conda install -c conda-forge shapely
```
folium (π₯32 Β· β 5.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 120 Β· π 1.9K Β· π¦ 8.1K Β· π 830 - 17% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 120 Β· π 1.9K Β· π¦ 8.2K Β· π 830 - 17% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 200K / month Β· π¦ 970 Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/folium) (π₯ 190K / month Β· π¦ 970 Β· β±οΈ 18.01.2021):
```
pip install folium
```
@@ -3559,62 +3590,62 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge folium
```
GeoPandas (π₯30 Β· β 2.4K) - Python tools for geographic data. BSD-3
+GeoPandas (π₯31 Β· β 2.4K Β· π) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 130 Β· π 530 Β· π₯ 840 Β· π¦ 7K Β· π 960 - 30% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 130 Β· π 530 Β· π₯ 860 Β· π¦ 7K Β· π 960 - 30% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 380K / month Β· π¦ 1.2K Β· β±οΈ 24.06.2020):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 360K / month Β· π¦ 1.2K Β· β±οΈ 25.01.2021):
```
pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 820K Β· β±οΈ 16.07.2020):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 830K Β· β±οΈ 25.01.2021):
```
conda install -c conda-forge geopandas
```
Rasterio (π₯30 Β· β 1.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/mapbox/rasterio) (π¨βπ» 110 Β· π 390 Β· π₯ 700 Β· π¦ 2.6K Β· π 1.3K - 10% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/mapbox/rasterio) (π¨βπ» 110 Β· π 390 Β· π₯ 700 Β· π¦ 2.7K Β· π 1.3K - 10% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/mapbox/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 120K / month Β· π¦ 850 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 120K / month Β· π¦ 850 Β· β±οΈ 25.01.2021):
```
pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 850K Β· β±οΈ 30.10.2020):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 850K Β· β±οΈ 25.01.2021):
```
conda install -c conda-forge rasterio
```
Fiona (π₯30 Β· β 770) - Fiona reads and writes geographic data files. BSD-3
+Fiona (π₯29 Β· β 770) - Fiona reads and writes geographic data files. BSD-3
- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 65 Β· π 160 Β· π¦ 4.9K Β· π 620 - 11% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 430K / month Β· π¦ 1.2K Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 410K / month Β· π¦ 1.2K Β· β±οΈ 17.11.2020):
```
pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 1.6M Β· β±οΈ 17.11.2020):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 1.7M Β· β±οΈ 17.11.2020):
```
conda install -c conda-forge fiona
```
pyproj (π₯29 Β· β 560) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 39 Β· π 150 Β· π¦ 8.2K Β· π 380 - 1% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 39 Β· π 150 Β· π¦ 8.3K Β· π 380 - 1% open Β· β±οΈ 08.01.2021):
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 1M / month Β· π¦ 2.5K Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 970K / month Β· π¦ 2.5K Β· β±οΈ 05.11.2020):
```
pip install pyproj
```
@@ -3625,7 +3656,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (π₯27 Β· β 1.1K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 63 Β· π 280 Β· π¦ 670 Β· π 380 - 34% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 63 Β· π 280 Β· π¦ 680 Β· π 380 - 34% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
@@ -3638,19 +3669,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge ipyleaflet
```
-- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 130K / month Β· π¦ 2 Β· β±οΈ 05.01.2021):
+- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 140K / month Β· π¦ 2 Β· β±οΈ 05.01.2021):
```
npm install jupyter-leaflet
```
geojson (π₯27 Β· β 590) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 44 Β· π 78 Β· π¦ 5.6K Β· π 68 - 26% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 44 Β· π 78 Β· π¦ 5.7K Β· π 68 - 26% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 370K / month Β· π¦ 1.6K Β· β±οΈ 09.08.2019):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 330K / month Β· π¦ 1.6K Β· β±οΈ 09.08.2019):
```
pip install geojson
```
@@ -3659,14 +3690,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geojson
```
ArcGIS API (π₯25 Β· β 940) - Documentation and samples for ArcGIS API for Python. Apache-2
+ArcGIS API (π₯25 Β· β 950) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 60 Β· π 680 Β· π 320 - 38% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 61 Β· π 700 Β· π 310 - 36% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 19K / month Β· π¦ 10 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 17K / month Β· π¦ 20 Β· β±οΈ 27.01.2021):
```
pip install arcgis
```
@@ -3677,12 +3708,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
PySAL (π₯24 Β· β 810) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 70 Β· π 240 Β· π 640 - 9% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 70 Β· π 240 Β· π 640 - 9% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 9.3K / month Β· π¦ 18 Β· β±οΈ 30.07.2020):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 8.3K / month Β· π¦ 18 Β· β±οΈ 30.07.2020):
```
pip install pysal
```
@@ -3693,7 +3724,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (π₯24 Β· β 330) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 21 Β· π 60 Β· π¦ 190 Β· π 250 - 31% open Β· β±οΈ 21.09.2020):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 21 Β· π 60 Β· π¦ 200 Β· π 250 - 31% open Β· β±οΈ 21.09.2020):
```
git clone https://github.com/holoviz/geoviews
@@ -3702,23 +3733,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 54K Β· β±οΈ 23.09.2020):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 55K Β· β±οΈ 23.09.2020):
```
conda install -c conda-forge geoviews
```
EarthPy (π₯22 Β· β 220) - A package built to support working with spatial data using open source.. BSD-3
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 38 Β· π 96 Β· π¦ 72 Β· π 220 - 11% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 38 Β· π 96 Β· π¦ 74 Β· π 220 - 11% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/earthlab/earthpy
```
-- [PyPi](https://pypi.org/project/earthpy) (π₯ 1.4K / month Β· π¦ 6 Β· β±οΈ 18.06.2020):
+- [PyPi](https://pypi.org/project/earthpy) (π₯ 1.3K / month Β· π¦ 6 Β· β±οΈ 18.06.2020):
```
pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 26K Β· β±οΈ 19.06.2020):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 27K Β· β±οΈ 19.06.2020):
```
conda install -c conda-forge earthpy
```
@@ -3730,7 +3761,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 8.4K / month Β· π¦ 3 Β· β±οΈ 21.09.2020):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 21.09.2020):
```
pip install pymap3d
```
@@ -3745,7 +3776,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
- Cartopy (π₯27 Β· β 1.4K) - Rasterio reads and writes geospatial raster datasets. βοΈLGPL-3.0
- Satpy (π₯25 Β· β 670) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
- gmaps (π₯21 Β· β 700 Β· π) - Google maps for Jupyter notebooks. BSD-3 βοΈGPL-3.0
+- Sentinelsat (π₯21 Β· β 550) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- Mapbox GL (π₯20 Β· β 550 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT MIT
zipline (π₯30 Β· β 13K) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- [GitHub](https://github.com/quantopian/zipline) (π¨βπ» 150 Β· π 3.7K Β· π¦ 670 Β· π 970 - 33% open Β· β±οΈ 14.10.2020):
+- [GitHub](https://github.com/quantopian/zipline) (π¨βπ» 150 Β· π 3.8K Β· π¦ 670 Β· π 980 - 33% open Β· β±οΈ 14.10.2020):
```
git clone https://github.com/quantopian/zipline
```
-- [PyPi](https://pypi.org/project/zipline) (π₯ 4.4K / month Β· π¦ 160 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/zipline) (π₯ 3.7K / month Β· π¦ 160 Β· β±οΈ 05.10.2020):
```
pip install zipline
```
yfinance (π₯29 Β· β 3.9K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2
+yfinance (π₯29 Β· β 4K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 28 Β· π 990 Β· π¦ 2.7K Β· π 470 - 63% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 28 Β· π 1K Β· π¦ 2.8K Β· π 490 - 64% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 98K / month Β· π¦ 26 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 89K / month Β· π¦ 26 Β· β±οΈ 05.10.2020):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 31K Β· β±οΈ 27.12.2019):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 32K Β· β±οΈ 27.12.2019):
```
conda install -c ranaroussi yfinance
```
@@ -3792,26 +3823,26 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 18K / month Β· π¦ 200 Β· β±οΈ 26.08.2018):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 16K / month Β· π¦ 200 Β· β±οΈ 26.08.2018):
```
pip install alpha_vantage
```
ta (π₯27 Β· β 1.7K) - Technical Analysis Library using Pandas and Numpy. MIT
+ta (π₯27 Β· β 1.8K) - Technical Analysis Library using Pandas and Numpy. MIT
- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 23 Β· π 450 Β· π¦ 410 Β· π 140 - 42% open Β· β±οΈ 29.11.2020):
```
git clone https://github.com/bukosabino/ta
```
-- [PyPi](https://pypi.org/project/ta) (π₯ 27K / month Β· π¦ 6 Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/ta) (π₯ 23K / month Β· π¦ 6 Β· β±οΈ 29.11.2020):
```
pip install ta
```
pyfolio (π₯25 Β· β 3.4K) - Portfolio and risk analytics in Python. Apache-2
-- [GitHub](https://github.com/quantopian/pyfolio) (π¨βπ» 55 Β· π 1.1K Β· π¦ 190 Β· π 390 - 31% open Β· β±οΈ 15.07.2020):
+- [GitHub](https://github.com/quantopian/pyfolio) (π¨βπ» 55 Β· π 1.1K Β· π¦ 190 Β· π 390 - 32% open Β· β±οΈ 15.07.2020):
```
git clone https://github.com/quantopian/pyfolio
@@ -3827,12 +3858,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
empyrical (π₯25 Β· β 700) - Common financial risk and performance metrics. Used by zipline and.. Apache-2
-- [GitHub](https://github.com/quantopian/empyrical) (π¨βπ» 22 Β· π 220 Β· π¦ 500 Β· π 53 - 50% open Β· β±οΈ 14.10.2020):
+- [GitHub](https://github.com/quantopian/empyrical) (π¨βπ» 22 Β· π 220 Β· π¦ 510 Β· π 53 - 50% open Β· β±οΈ 14.10.2020):
```
git clone https://github.com/quantopian/empyrical
```
-- [PyPi](https://pypi.org/project/empyrical) (π₯ 24K / month Β· π¦ 220 Β· β±οΈ 13.10.2020):
+- [PyPi](https://pypi.org/project/empyrical) (π₯ 22K / month Β· π¦ 220 Β· β±οΈ 13.10.2020):
```
pip install empyrical
```
@@ -3843,12 +3874,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alphalens (π₯24 Β· β 1.7K Β· π€) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- [GitHub](https://github.com/quantopian/alphalens) (π¨βπ» 25 Β· π 630 Β· π¦ 350 Β· π 180 - 20% open Β· β±οΈ 27.04.2020):
+- [GitHub](https://github.com/quantopian/alphalens) (π¨βπ» 25 Β· π 640 Β· π¦ 350 Β· π 180 - 20% open Β· β±οΈ 27.04.2020):
```
git clone https://github.com/quantopian/alphalens
```
-- [PyPi](https://pypi.org/project/alphalens) (π₯ 2K / month Β· π¦ 14 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/alphalens) (π₯ 1.8K / month Β· π¦ 14 Β· β±οΈ 27.04.2020):
```
pip install alphalens
```
@@ -3864,114 +3895,114 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 2.8K / month Β· π¦ 12 Β· β±οΈ 03.11.2020):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 2.3K / month Β· π¦ 12 Β· β±οΈ 03.11.2020):
```
pip install ib_insync
```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 7.1K Β· β±οΈ 07.11.2020):
+- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 7.2K Β· β±οΈ 07.11.2020):
```
conda install -c conda-forge ib-insync
```
ffn (π₯24 Β· β 750) - ffn - a financial function library for Python. MIT
+ffn (π₯24 Β· β 760) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 23 Β· π 170 Β· π¦ 96 Β· π 79 - 20% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 23 Β· π 180 Β· π¦ 96 Β· π 79 - 20% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 10K / month Β· π¦ 16 Β· β±οΈ 28.05.2018):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 8.1K / month Β· π¦ 16 Β· β±οΈ 28.05.2018):
```
pip install ffn
```
Enigma Catalyst (π₯23 Β· β 1.9K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2
+stockstats (π₯24 Β· β 700) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/enigmampc/catalyst) (π¨βπ» 140 Β· π 590 Β· π¦ 20 Β· π 500 - 26% open Β· β±οΈ 28.12.2020):
+- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 7 Β· π 190 Β· π¦ 170 Β· π 59 - 49% open Β· β±οΈ 17.10.2020):
```
- git clone https://github.com/enigmampc/catalyst
+ git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/enigma-catalyst) (π₯ 320 / month Β· β±οΈ 11.11.2018):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 23K / month Β· π¦ 24 Β· β±οΈ 17.10.2020):
```
- pip install enigma-catalyst
+ pip install stockstats
```
stockstats (π₯23 Β· β 700) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+Enigma Catalyst (π₯23 Β· β 2K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2
-- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 7 Β· π 190 Β· π¦ 160 Β· π 59 - 49% open Β· β±οΈ 17.10.2020):
+- [GitHub](https://github.com/enigmampc/catalyst) (π¨βπ» 140 Β· π 590 Β· π¦ 21 Β· π 500 - 26% open Β· β±οΈ 28.12.2020):
```
- git clone https://github.com/jealous/stockstats
+ git clone https://github.com/enigmampc/catalyst
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 26K / month Β· π¦ 24 Β· β±οΈ 17.10.2020):
+- [PyPi](https://pypi.org/project/enigma-catalyst) (π₯ 330 / month Β· β±οΈ 11.11.2018):
```
- pip install stockstats
+ pip install enigma-catalyst
```
bt (π₯22 Β· β 930) - bt - flexible backtesting for Python. MIT
+bt (π₯22 Β· β 940) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 20 Β· π 250 Β· π¦ 43 Β· π 220 - 24% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 20 Β· π 250 Β· π¦ 43 Β· π 220 - 24% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 3.2K / month Β· π¦ 20 Β· β±οΈ 28.05.2018):
+- [PyPi](https://pypi.org/project/bt) (π₯ 2.3K / month Β· π¦ 20 Β· β±οΈ 28.05.2018):
```
pip install bt
```
TensorTrade (π₯21 Β· β 2.2K) - An open source reinforcement learning framework for training,.. Apache-2
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 46 Β· π 580 Β· π¦ 10 Β· π 150 - 21% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 46 Β· π 590 Β· π¦ 10 Β· π 150 - 21% open Β· β±οΈ 06.01.2021):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 24.08.2020):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 840 / month Β· π¦ 1 Β· β±οΈ 24.08.2020):
```
pip install tensortrade
```
finmarketpy (π₯20 Β· β 2.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 410 Β· π₯ 39 Β· π¦ 3 Β· π 24 - 87% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 420 Β· π₯ 39 Β· π¦ 3 Β· π 24 - 87% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 65 / month Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 76 / month Β· β±οΈ 25.01.2021):
```
pip install finmarketpy
```
Qlib (π₯19 Β· β 3.7K Β· π£) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT
+Qlib (π₯19 Β· β 3.8K Β· π£) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 27 Β· π 560 Β· π₯ 190 Β· π 100 - 52% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 27 Β· π 580 Β· π₯ 200 Β· π 120 - 53% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.9K / month Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.8K / month Β· β±οΈ 12.12.2020):
```
pip install pyqlib
```
tf-quant-finance (π₯19 Β· β 2.2K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯19 Β· β 2.4K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 30 Β· π 280 Β· π¦ 4 Β· π 21 - 52% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 30 Β· π 300 Β· π¦ 4 Β· π 23 - 47% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 120 / month Β· β±οΈ 18.09.2020):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 110 / month Β· β±οΈ 18.09.2020):
```
pip install tf-quant-finance
```
Crypto Signals (π₯18 Β· β 2.4K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT
+Crypto Signals (π₯18 Β· β 2.5K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT
-- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (π¨βπ» 25 Β· π 640 Β· π 230 - 18% open Β· β±οΈ 03.09.2020):
+- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (π¨βπ» 25 Β· π 650 Β· π 230 - 18% open Β· β±οΈ 03.09.2020):
```
git clone https://github.com/CryptoSignal/crypto-signal
@@ -3987,8 +4018,8 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- PyAlgoTrade (π₯23 Β· β 3.1K Β· π) - Python Algorithmic Trading Library. Apache-2
- arch (π₯23 Β· β 640) - ARCH models in Python. βοΈNCSA
- FinTA (π₯22 Β· β 800) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- Backtesting.py (π₯17 Β· β 930) - Backtest trading strategies in Python. βοΈAGPL-3.0
-- surpriver (π₯11 Β· β 1K Β· π£) - Find big moving stocks before they move using machine learning.. βοΈGPL-3.0
+- Backtesting.py (π₯17 Β· β 950) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- surpriver (π₯11 Β· β 1.1K Β· π£) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
@@ -4000,72 +4031,72 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Prophet (π₯30 Β· β 12K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 120 Β· π 3.4K Β· π₯ 530 Β· π 1.5K - 4% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 130 Β· π 3.5K Β· π₯ 540 Β· π 1.5K - 5% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 570K / month Β· π¦ 150 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 500K / month Β· π¦ 150 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
tslearn (π₯28 Β· β 1.4K Β· π) - A machine learning toolkit dedicated to time-series data. BSD-2
-
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 28 Β· π 220 Β· π¦ 180 Β· π 220 - 26% open Β· β±οΈ 08.01.2021):
-
- ```
- git clone https://github.com/tslearn-team/tslearn
- ```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 64K / month Β· π¦ 11 Β· β±οΈ 18.06.2020):
- ```
- pip install tslearn
- ```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 180K Β· β±οΈ 19.06.2020):
- ```
- conda install -c conda-forge tslearn
- ```
-tsfresh (π₯27 Β· β 5.3K) - Automatic extraction of relevant features from time series:. MIT
+tsfresh (π₯27 Β· β 5.3K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 71 Β· π 840 Β· π 430 - 7% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 72 Β· π 850 Β· π 440 - 8% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 160K / month Β· π¦ 66 Β· β±οΈ 09.09.2020):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 130K / month Β· π¦ 66 Β· β±οΈ 09.09.2020):
```
pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 26K Β· β±οΈ 10.09.2020):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 27K Β· β±οΈ 10.09.2020):
```
conda install -c conda-forge tsfresh
```
sktime (π₯26 Β· β 3.5K) - A unified framework for machine learning with time series. BSD-3
+sktime (π₯27 Β· β 3.5K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/alan-turing-institute/sktime) (π¨βπ» 73 Β· π 420 Β· π₯ 41 Β· π¦ 94 Β· π 320 - 31% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/alan-turing-institute/sktime) (π¨βπ» 73 Β· π 420 Β· π₯ 49 Β· π¦ 95 Β· π 320 - 31% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 7.6K / month Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 8.7K / month Β· β±οΈ 29.12.2020):
```
pip install sktime
```
pmdarima (π₯26 Β· β 800) - A statistical library designed to fill the void in Python's time series.. MIT
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 16 Β· π 150 Β· π¦ 690 Β· π 220 - 7% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 16 Β· π 150 Β· π¦ 700 Β· π 220 - 7% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 190K / month Β· π¦ 12 Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 170K / month Β· π¦ 12 Β· β±οΈ 02.12.2020):
```
pip install pmdarima
```
tslearn (π₯25 Β· β 1.5K Β· π) - A machine learning toolkit dedicated to time-series data. BSD-2
+
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 29 Β· π 220 Β· π¦ 180 Β· π 220 - 25% open Β· β±οΈ 25.01.2021):
+
+ ```
+ git clone https://github.com/tslearn-team/tslearn
+ ```
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 55K / month Β· π¦ 22 Β· β±οΈ 25.01.2021):
+ ```
+ pip install tslearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 180K Β· β±οΈ 25.01.2021):
+ ```
+ conda install -c conda-forge tslearn
+ ```
+Streamz (π₯24 Β· β 900) - Real-time stream processing for python. BSD-3
- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 38 Β· π 110 Β· π¦ 180 Β· π 220 - 41% open Β· β±οΈ 14.01.2021):
@@ -4073,7 +4104,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 1.9K / month Β· π¦ 16 Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 2.1K / month Β· π¦ 16 Β· β±οΈ 02.11.2020):
```
pip install streamz
```
@@ -4084,40 +4115,24 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (π₯23 Β· β 1.7K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluon-ts) (π¨βπ» 67 Β· π 360 Β· π 520 - 34% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/awslabs/gluon-ts) (π¨βπ» 67 Β· π 360 Β· π 530 - 34% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 19K / month Β· β±οΈ 08.12.2020):
- ```
- pip install gluonts
- ```
-STUMPY (π₯22 Β· β 1.6K) - STUMPY is a powerful and scalable Python library for computing a Matrix.. BSD-3
-
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 20 Β· π 160 Β· π 210 - 13% open Β· β±οΈ 21.01.2021):
-
- ```
- git clone https://github.com/TDAmeritrade/stumpy
- ```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 14K / month Β· β±οΈ 20.01.2021):
- ```
- pip install stumpy
- ```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 15K Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 17K / month Β· β±οΈ 08.12.2020):
```
- conda install -c conda-forge stumpy
+ pip install gluonts
```
Darts (π₯22 Β· β 700) - A python library for easy manipulation and forecasting of time series. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 23 Β· π 85 Β· π¦ 11 Β· π 59 - 30% open Β· β±οΈ 09.11.2020):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 23 Β· π 86 Β· π¦ 12 Β· π 59 - 28% open Β· β±οΈ 09.11.2020):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 1.6K / month Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 2.1K / month Β· β±οΈ 09.11.2020):
```
pip install u8darts
```
@@ -4126,14 +4141,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
docker pull unit8/darts
```
pyts (π₯20 Β· β 850 Β· π€) - A Python package for time series classification. BSD-3
+STUMPY (π₯20 Β· β 1.6K Β· π) - STUMPY is a powerful and scalable Python library for computing a.. BSD-3
+
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 20 Β· π 160 Β· π 210 - 12% open Β· β±οΈ 21.01.2021):
+
+ ```
+ git clone https://github.com/TDAmeritrade/stumpy
+ ```
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 12K / month Β· β±οΈ 20.01.2021):
+ ```
+ pip install stumpy
+ ```
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 15K Β· β±οΈ 20.01.2021):
+ ```
+ conda install -c conda-forge stumpy
+ ```
+pyts (π₯20 Β· β 860 Β· π€) - A Python package for time series classification. BSD-3
-- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 7 Β· π 92 Β· π¦ 80 Β· π 42 - 54% open Β· β±οΈ 30.04.2020):
+- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 7 Β· π 93 Β· π¦ 80 Β· π 42 - 54% open Β· β±οΈ 30.04.2020):
```
git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 2K / month Β· π¦ 2 Β· β±οΈ 21.03.2020):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 21.03.2020):
```
pip install pyts
```
@@ -4142,62 +4173,62 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pyts
```
pytorch-forecasting (π₯19 Β· β 640 Β· π£) - Time series forecasting with PyTorch. MIT
+pytorch-forecasting (π₯19 Β· β 680 Β· π£) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 11 Β· π 68 Β· π 100 - 26% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 11 Β· π 78 Β· π 110 - 25% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 2.9K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 2.5K / month Β· β±οΈ 12.01.2021):
```
pip install pytorch-forecasting
```
matrixprofile-ts (π₯19 Β· β 600 Β· π€) - A Python library for detecting patterns and anomalies.. Apache-2
-- [GitHub](https://github.com/target/matrixprofile-ts) (π¨βπ» 15 Β· π 90 Β· π¦ 11 Β· π 52 - 36% open Β· β±οΈ 25.04.2020):
+- [GitHub](https://github.com/target/matrixprofile-ts) (π¨βπ» 15 Β· π 90 Β· π¦ 12 Β· π 52 - 34% open Β· β±οΈ 25.04.2020):
```
git clone https://github.com/target/matrixprofile-ts
```
-- [PyPi](https://pypi.org/project/matrixprofile-ts) (π₯ 2.7K / month Β· β±οΈ 08.08.2019):
+- [PyPi](https://pypi.org/project/matrixprofile-ts) (π₯ 2.5K / month Β· β±οΈ 08.08.2019):
```
pip install matrixprofile-ts
```
seglearn (π₯19 Β· β 410) - Python module for machine learning time series:. BSD-3
+seglearn (π₯19 Β· β 420) - Python module for machine learning time series:. BSD-3
- [GitHub](https://github.com/dmbee/seglearn) (π¨βπ» 13 Β· π 47 Β· π¦ 6 Β· π 26 - 23% open Β· β±οΈ 16.01.2021):
```
git clone https://github.com/dmbee/seglearn
```
-- [PyPi](https://pypi.org/project/seglearn) (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 17.01.2021):
+- [PyPi](https://pypi.org/project/seglearn) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 17.01.2021):
```
pip install seglearn
```
Auto TS (π₯18 Β· β 150) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+Auto TS (π₯18 Β· β 160) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 5 Β· π 34 Β· π 27 - 22% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 5 Β· π 35 Β· π 28 - 17% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 500 / month Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 580 / month Β· β±οΈ 24.01.2021):
```
pip install auto-ts
```
ADTK (π₯17 Β· β 580 Β· π€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
+ADTK (π₯17 Β· β 590 Β· π€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
- [GitHub](https://github.com/arundo/adtk) (π¨βπ» 11 Β· π 75 Β· π 52 - 42% open Β· β±οΈ 17.04.2020):
```
git clone https://github.com/arundo/adtk
```
-- [PyPi](https://pypi.org/project/adtk) (π₯ 28K / month Β· β±οΈ 17.04.2020):
+- [PyPi](https://pypi.org/project/adtk) (π₯ 24K / month Β· β±οΈ 17.04.2020):
```
pip install adtk
```
@@ -4209,26 +4240,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/firmai/atspy
```
-- [PyPi](https://pypi.org/project/atspy) (π₯ 230 / month Β· β±οΈ 24.04.2020):
+- [PyPi](https://pypi.org/project/atspy) (π₯ 220 / month Β· β±οΈ 24.04.2020):
```
pip install atspy
```
tick (π₯17 Β· β 320 Β· π€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 16 Β· π 74 Β· π₯ 160 Β· π¦ 29 Β· π 210 - 25% open Β· β±οΈ 15.06.2020):
+- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 16 Β· π 75 Β· π₯ 160 Β· π¦ 30 Β· π 210 - 25% open Β· β±οΈ 15.06.2020):
```
git clone https://github.com/X-DataInitiative/tick
```
-- [PyPi](https://pypi.org/project/tick) (π₯ 390 / month Β· π¦ 1 Β· β±οΈ 24.05.2020):
+- [PyPi](https://pypi.org/project/tick) (π₯ 360 / month Β· π¦ 1 Β· β±οΈ 24.05.2020):
```
pip install tick
```
Show 3 hidden projects...
-- luminol (π₯23 Β· β 860 Β· π) - Anomaly Detection and Correlation library. Apache-2
+- luminol (π₯23 Β· β 870 Β· π) - Anomaly Detection and Correlation library. Apache-2
- PyFlux (π₯22 Β· β 1.8K Β· π) - Open source time series library for Python. BSD-3
- pydlm (π₯20 Β· β 350 Β· π) - A python library for Bayesian time series modeling. BSD-3
MNE (π₯31 Β· β 1.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 230 Β· π 840 Β· π¦ 800 Β· π 3.4K - 8% open Β· β±οΈ 21.01.2021):
+Nilearn (π₯30 Β· β 700) - Machine learning for NeuroImaging in Python. BSD-3
- ```
- git clone https://github.com/mne-tools/mne-python
- ```
-- [PyPi](https://pypi.org/project/mne) (π₯ 17K / month Β· π¦ 200 Β· β±οΈ 17.12.2020):
- ```
- pip install mne
- ```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 97K Β· β±οΈ 20.12.2020):
- ```
- conda install -c conda-forge mne
- ```
-Nilearn (π₯30 Β· β 690) - Machine learning for NeuroImaging in Python. BSD-3
-
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 160 Β· π 370 Β· π¦ 860 Β· π 1.5K - 25% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 160 Β· π 370 Β· π¦ 870 Β· π 1.5K - 25% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 8K / month Β· π¦ 300 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 7K / month Β· π¦ 300 Β· β±οΈ 12.11.2020):
```
pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 77K Β· β±οΈ 12.11.2020):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 78K Β· β±οΈ 12.11.2020):
```
conda install -c conda-forge nilearn
```
Lifelines (π₯29 Β· β 1.5K) - Survival analysis in Python. MIT
+Lifelines (π₯29 Β· β 1.5K) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 90 Β· π 410 Β· π¦ 480 Β· π 780 - 24% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 90 Β· π 410 Β· π¦ 490 Β· π 780 - 24% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 97K / month Β· π¦ 130 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 91K / month Β· π¦ 130 Β· β±οΈ 22.01.2021):
```
pip install lifelines
```
@@ -4288,14 +4303,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
NIPYPE (π₯29 Β· β 540) - Workflows and interfaces for neuroimaging packages. Apache-2
+NIPYPE (π₯29 Β· β 550) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 210 Β· π 440 Β· π¦ 490 Β· π 1.2K - 26% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 210 Β· π 440 Β· π¦ 500 Β· π 1.2K - 26% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 9.8K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 8.7K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
```
pip install nipype
```
@@ -4304,14 +4319,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nipype
```
NiBabel (π₯29 Β· β 380) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NiBabel (π₯29 Β· β 380) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 89 Β· π 210 Β· π¦ 3.5K Β· π 390 - 27% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 89 Β· π 210 Β· π¦ 3.6K Β· π 390 - 27% open Β· β±οΈ 17.01.2021):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 43K / month Β· π¦ 1.3K Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 40K / month Β· π¦ 1.3K Β· β±οΈ 28.11.2020):
```
pip install nibabel
```
@@ -4320,94 +4335,110 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nibabel
```
DIPY (π₯28 Β· β 380) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
+DIPY (π₯28 Β· β 390) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 120 Β· π 310 Β· π¦ 320 Β· π 730 - 21% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 120 Β· π 310 Β· π¦ 330 Β· π 730 - 21% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/dipy/dipy
```
-- [PyPi](https://pypi.org/project/dipy) (π₯ 5.7K / month Β· π¦ 94 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/dipy) (π₯ 5K / month Β· π¦ 94 Β· β±οΈ 05.11.2020):
```
pip install dipy
```
-- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 170K Β· β±οΈ 14.11.2020):
+- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 180K Β· β±οΈ 14.11.2020):
```
conda install -c conda-forge dipy
```
MNE (π₯27 Β· β 1.5K Β· π) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3
+
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 230 Β· π 840 Β· π¦ 810 Β· π 3.4K - 8% open Β· β±οΈ 28.01.2021):
+
+ ```
+ git clone https://github.com/mne-tools/mne-python
+ ```
+- [PyPi](https://pypi.org/project/mne) (π₯ 14K / month Β· π¦ 200 Β· β±οΈ 17.12.2020):
+ ```
+ pip install mne
+ ```
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 98K Β· β±οΈ 20.12.2020):
+ ```
+ conda install -c conda-forge mne
+ ```
+Hail (π₯23 Β· β 690) - Scalable genomic data analysis. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 69 Β· π 180 Β· π¦ 28 Β· π 2.3K - 14% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 69 Β· π 180 Β· π¦ 29 Β· π 2.3K - 14% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 850 / month Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/hail) (π₯ 720 / month Β· β±οΈ 03.12.2020):
```
pip install hail
```
MONAI (π₯22 Β· β 1.7K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 52 Β· π 300 Β· π 660 - 11% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 53 Β· π 300 Β· π 670 - 11% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 3.5K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/monai) (π₯ 3.4K / month Β· β±οΈ 15.12.2020):
```
pip install monai
```
NiftyNet (π₯22 Β· β 1.3K Β· π€) - [unmaintained] An open-source convolutional neural.. Apache-2
+DeepVariant (π₯21 Β· β 2.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/NifTK/NiftyNet) (π¨βπ» 58 Β· π 370 Β· π¦ 33 Β· π 320 - 30% open Β· β±οΈ 21.04.2020):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 19 Β· π 530 Β· π₯ 3K Β· π 370 - 1% open Β· β±οΈ 14.12.2020):
```
- git clone https://github.com/NifTK/NiftyNet
+ git clone https://github.com/google/deepvariant
```
-- [PyPi](https://pypi.org/project/niftynet) (π₯ 150 / month Β· β±οΈ 10.10.2019):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 27K Β· β±οΈ 05.09.2020):
```
- pip install niftynet
+ conda install -c bioconda deepvariant
```
DeepVariant (π₯21 Β· β 2.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+NiftyNet (π₯21 Β· β 1.3K Β· π€) - [unmaintained] An open-source convolutional neural.. Apache-2
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 19 Β· π 530 Β· π₯ 3K Β· π 370 - 0% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/NifTK/NiftyNet) (π¨βπ» 58 Β· π 370 Β· π¦ 33 Β· π 320 - 30% open Β· β±οΈ 21.04.2020):
```
- git clone https://github.com/google/deepvariant
+ git clone https://github.com/NifTK/NiftyNet
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 26K Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/niftynet) (π₯ 130 / month Β· β±οΈ 10.10.2019):
```
- conda install -c bioconda deepvariant
+ pip install niftynet
```
Brainiak (π₯18 Β· β 230) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯19 Β· β 230) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 32 Β· π 110 Β· π¦ 12 Β· π 180 - 35% open Β· β±οΈ 15.10.2020):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 96 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
-- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 460 Β· β 1 Β· β±οΈ 15.10.2020):
+- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 470 Β· β 1 Β· β±οΈ 15.10.2020):
```
docker pull brainiak/brainiak
```
Glow (π₯18 Β· β 150) - An open-source toolkit for large-scale genomic analysis. Apache-2
+Glow (π₯18 Β· β 160) - An open-source toolkit for large-scale genomic analysis. Apache-2
-- [GitHub](https://github.com/projectglow/glow) (π¨βπ» 11 Β· π 40 Β· π 69 - 31% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/projectglow/glow) (π¨βπ» 11 Β· π 40 Β· π 73 - 30% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/projectglow/glow
```
-- [PyPi](https://pypi.org/project/glow.py) (π₯ 590 / month Β· β±οΈ 10.09.2020):
+- [PyPi](https://pypi.org/project/glow.py) (π₯ 700 / month Β· β±οΈ 10.09.2020):
```
pip install glow.py
```
@@ -4422,7 +4453,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MedicalNet (π₯11 Β· β 1K) - Many studies have shown that the performance on deep learning is.. MIT
-- [GitHub](https://github.com/Tencent/MedicalNet) (π¨βπ» 1 Β· π 280 Β· π 56 - 75% open Β· β±οΈ 27.08.2020):
+- [GitHub](https://github.com/Tencent/MedicalNet) (π¨βπ» 1 Β· π 280 Β· π 57 - 75% open Β· β±οΈ 27.08.2020):
```
git clone https://github.com/Tencent/MedicalNet
@@ -4433,7 +4464,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
- NIPY (π₯21 Β· β 290) - Neuroimaging in Python FMRI analysis package. βοΈDSDP
- MedPy (π₯20 Β· β 310 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
- DLTK (π₯19 Β· β 1.2K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2 Apache-2 MIT
@@ -4444,42 +4475,42 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-Tesseract (π₯30 Β· β 3.4K Β· π) - Python-tesseract is an optical character recognition (OCR).. Apache-2
+Tesseract (π₯30 Β· β 3.4K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 36 Β· π 500 Β· π 240 - 2% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 36 Β· π 500 Β· π 250 - 2% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 450K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 470K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2020):
```
pip install pytesseract
```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 38K Β· β±οΈ 20.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 39K Β· β±οΈ 20.11.2020):
```
conda install -c conda-forge pytesseract
```
EasyOCR (π₯27 Β· β 10K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+EasyOCR (π₯27 Β· β 10K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 73 Β· π 980 Β· π₯ 110K Β· π¦ 100 Β· π 240 - 33% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 73 Β· π 990 Β· π₯ 130K Β· π¦ 110 Β· π 240 - 33% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 9.9K / month Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 9.5K / month Β· β±οΈ 05.01.2021):
```
pip install easyocr
```
OCRmyPDF (π₯27 Β· β 3.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (π₯27 Β· β 3.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (π¨βπ» 49 Β· π 420 Β· π¦ 110 Β· π 650 - 13% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (π¨βπ» 49 Β· π 420 Β· π¦ 110 Β· π 660 - 13% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/jbarlow83/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 10K / month Β· π¦ 12 Β· β±οΈ 26.01.2021):
```
pip install ocrmypdf
```
@@ -4500,19 +4531,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge tesserocr
```
PaddleOCR (π₯24 Β· β 8.5K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯24 Β· β 10K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 41 Β· π 1.7K Β· π¦ 19 Β· π 1.2K - 30% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 41 Β· π 1.9K Β· π¦ 19 Β· π 1.2K - 31% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 1.5K / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 1.2K / month Β· β±οΈ 18.12.2020):
```
pip install paddleocr
```
attention-ocr (π₯20 Β· β 820) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
+attention-ocr (π₯20 Β· β 830) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 27 Β· π 230 Β· π¦ 15 Β· π 140 - 11% open Β· β±οΈ 31.10.2020):
@@ -4526,12 +4557,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
keras-ocr (π₯20 Β· β 740) - A packaged and flexible version of the CRAFT text detector and.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 9 Β· π 170 Β· π₯ 15K Β· π 120 - 22% open Β· β±οΈ 26.11.2020):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 9 Β· π 170 Β· π₯ 16K Β· π 120 - 23% open Β· β±οΈ 26.11.2020):
```
git clone https://github.com/faustomorales/keras-ocr
```
-- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 26.11.2020):
+- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 26.11.2020):
```
pip install keras-ocr
```
@@ -4543,23 +4574,31 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/jlsutherland/doc2text
```
-- [PyPi](https://pypi.org/project/doc2text) (π₯ 220 / month Β· β±οΈ 06.09.2016):
+- [PyPi](https://pypi.org/project/doc2text) (π₯ 200 / month Β· β±οΈ 06.09.2016):
```
pip install doc2text
```
calamari (π₯19 Β· β 770) - Line based ATR Engine based on OCRopy. Apache-2
-- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 17 Β· π 160 Β· π 150 - 13% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 17 Β· π 160 Β· π 160 - 13% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/Calamari-OCR/calamari
```
-- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 380 / month Β· π¦ 2 Β· β±οΈ 13.11.2018):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 350 / month Β· π¦ 2 Β· β±οΈ 13.11.2018):
```
pip install calamari_ocr
```
Mozart (π₯10 Β· β 220 Β· π£) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
+
+- [GitHub](https://github.com/aashrafh/Mozart) (π¨βπ» 5 Β· π 33 Β· π 2 - 50% open Β· β±οΈ 14.01.2021):
+
+ ```
+ git clone https://github.com/aashrafh/Mozart
+ ```
+Show 1 hidden projects...
- pdftabextract (π₯20 Β· β 1.9K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
@@ -4574,12 +4613,12 @@ _General-purpose data containers & structures as well as utilities & extensions
pandas (π₯42 Β· β 28K) - Flexible and powerful data analysis / manipulation library for.. BSD-3
-- [GitHub](https://github.com/pandas-dev/pandas) (π¨βπ» 2.6K Β· π 12K Β· π₯ 93K Β· π¦ 370K Β· π 20K - 18% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pandas-dev/pandas) (π¨βπ» 2.6K Β· π 12K Β· π₯ 94K Β· π¦ 370K Β· π 20K - 18% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pandas-dev/pandas
```
-- [PyPi](https://pypi.org/project/pandas) (π₯ 22M / month Β· π¦ 77K Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/pandas) (π₯ 19M / month Β· π¦ 77K Β· β±οΈ 20.01.2021):
```
pip install pandas
```
@@ -4590,28 +4629,28 @@ _General-purpose data containers & structures as well as utilities & extensions
numpy (π₯42 Β· β 16K) - The fundamental package for scientific computing with Python. BSD-3
-- [GitHub](https://github.com/numpy/numpy) (π¨βπ» 1.2K Β· π 5.2K Β· π₯ 300K Β· π¦ 600K Β· π 9.5K - 23% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/numpy/numpy) (π¨βπ» 1.2K Β· π 5.2K Β· π₯ 300K Β· π¦ 610K Β· π 9.5K - 23% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/numpy/numpy
```
-- [PyPi](https://pypi.org/project/numpy) (π₯ 36M / month Β· π¦ 170K Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/numpy) (π₯ 31M / month Β· π¦ 170K Β· β±οΈ 05.01.2021):
```
pip install numpy
```
-- [Conda](https://anaconda.org/conda-forge/numpy) (π₯ 15M Β· β±οΈ 11.01.2021):
+- [Conda](https://anaconda.org/conda-forge/numpy) (π₯ 16M Β· β±οΈ 11.01.2021):
```
conda install -c conda-forge numpy
```
h5py (π₯36 Β· β 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3
-- [GitHub](https://github.com/h5py/h5py) (π¨βπ» 160 Β· π 390 Β· π₯ 780 Β· π¦ 99K Β· π 1.1K - 16% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/h5py/h5py) (π¨βπ» 160 Β· π 390 Β· π₯ 800 Β· π¦ 100K Β· π 1.1K - 16% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/h5py/h5py
```
-- [PyPi](https://pypi.org/project/h5py) (π₯ 4.7M / month Β· π¦ 23K Β· β±οΈ 06.11.2020):
+- [PyPi](https://pypi.org/project/h5py) (π₯ 4.2M / month Β· π¦ 23K Β· β±οΈ 06.11.2020):
```
pip install h5py
```
@@ -4620,30 +4659,30 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge h5py
```
Arrow (π₯35 Β· β 6.9K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2
+Arrow (π₯35 Β· β 7K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2
-- [GitHub](https://github.com/apache/arrow) (π¨βπ» 620 Β· π 1.7K Β· π¦ 29 Β· π 670 - 18% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/apache/arrow) (π¨βπ» 620 Β· π 1.8K Β· π¦ 30 Β· π 700 - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/apache/arrow
```
-- [PyPi](https://pypi.org/project/pyarrow) (π₯ 13M / month Β· π¦ 990 Β· β±οΈ 19.10.2020):
+- [PyPi](https://pypi.org/project/pyarrow) (π₯ 11M / month Β· π¦ 990 Β· β±οΈ 26.01.2021):
```
pip install pyarrow
```
-- [Conda](https://anaconda.org/conda-forge/arrow) (π₯ 450K Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/conda-forge/arrow) (π₯ 460K Β· β±οΈ 12.01.2021):
```
conda install -c conda-forge arrow
```
xarray (π₯32 Β· β 1.9K) - N-D labeled arrays and datasets in Python. Apache-2
-- [GitHub](https://github.com/pydata/xarray) (π¨βπ» 290 Β· π 620 Β· π¦ 4.9K Β· π 2.7K - 29% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pydata/xarray) (π¨βπ» 290 Β· π 620 Β· π¦ 5K Β· π 2.7K - 29% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pydata/xarray
```
-- [PyPi](https://pypi.org/project/xarray) (π₯ 260K / month Β· π¦ 1.1K Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/xarray) (π₯ 230K / month Β· π¦ 1.1K Β· β±οΈ 30.11.2020):
```
pip install xarray
```
@@ -4659,7 +4698,7 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/pydata/numexpr
```
-- [PyPi](https://pypi.org/project/numexpr) (π₯ 640K / month Β· π¦ 5.5K Β· β±οΈ 05.01.2020):
+- [PyPi](https://pypi.org/project/numexpr) (π₯ 570K / month Β· π¦ 5.5K Β· β±οΈ 05.01.2020):
```
pip install numexpr
```
@@ -4668,21 +4707,21 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge numexpr
```
Modin (π₯29 Β· β 5.6K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2
+Modin (π₯29 Β· β 5.7K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2
-- [GitHub](https://github.com/modin-project/modin) (π¨βπ» 66 Β· π 380 Β· π₯ 200K Β· π¦ 290 Β· π 1.5K - 28% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/modin-project/modin) (π¨βπ» 66 Β· π 380 Β· π₯ 200K Β· π¦ 290 Β· π 1.5K - 27% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/modin-project/modin
```
-- [PyPi](https://pypi.org/project/modin) (π₯ 72K / month Β· π¦ 18 Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/modin) (π₯ 59K / month Β· π¦ 18 Β· β±οΈ 12.01.2021):
```
pip install modin
```
TinyDB (π₯29 Β· β 4K) - TinyDB is a lightweight document oriented database optimized for your.. MIT
-- [GitHub](https://github.com/msiemens/tinydb) (π¨βπ» 62 Β· π 360 Β· π 250 - 5% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/msiemens/tinydb) (π¨βπ» 62 Β· π 370 Β· π 250 - 3% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/msiemens/tinydb
@@ -4698,28 +4737,28 @@ _General-purpose data containers & structures as well as utilities & extensions
Koalas (π₯29 Β· β 2.6K) - Koalas: pandas API on Apache Spark. Apache-2
-- [GitHub](https://github.com/databricks/koalas) (π¨βπ» 47 Β· π 290 Β· π₯ 1K Β· π¦ 72 Β· π 500 - 16% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/databricks/koalas) (π¨βπ» 47 Β· π 300 Β· π₯ 1K Β· π¦ 72 Β· π 510 - 17% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/databricks/koalas
```
-- [PyPi](https://pypi.org/project/koalas) (π₯ 790K / month Β· π¦ 1 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/koalas) (π₯ 670K / month Β· π¦ 2 Β· β±οΈ 22.01.2021):
```
pip install koalas
```
-- [Conda](https://anaconda.org/conda-forge/koalas) (π₯ 75K Β· β±οΈ 11.12.2020):
+- [Conda](https://anaconda.org/conda-forge/koalas) (π₯ 75K Β· β±οΈ 22.01.2021):
```
conda install -c conda-forge koalas
```
Bottleneck (π₯29 Β· β 570 Β· π) - Fast NumPy array functions written in C. BSD-2
+Bottleneck (π₯29 Β· β 570) - Fast NumPy array functions written in C. BSD-2
-- [GitHub](https://github.com/pydata/bottleneck) (π¨βπ» 21 Β· π 63 Β· π¦ 18K Β· π 200 - 11% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/pydata/bottleneck) (π¨βπ» 21 Β· π 65 Β· π¦ 18K Β· π 200 - 11% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/pydata/bottleneck
```
-- [PyPi](https://pypi.org/project/Bottleneck) (π₯ 190K / month Β· π¦ 2.9K Β· β±οΈ 21.02.2020):
+- [PyPi](https://pypi.org/project/Bottleneck) (π₯ 160K / month Β· π¦ 2.9K Β· β±οΈ 21.02.2020):
```
pip install Bottleneck
```
@@ -4730,12 +4769,12 @@ _General-purpose data containers & structures as well as utilities & extensions
PyTables (π₯28 Β· β 1K) - A Python package to manage extremely large amounts of data. BSD-3
-- [GitHub](https://github.com/PyTables/PyTables) (π¨βπ» 96 Β· π 180 Β· π₯ 120 Β· π 590 - 25% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/PyTables/PyTables) (π¨βπ» 96 Β· π 180 Β· π₯ 120 Β· π 600 - 26% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/PyTables/PyTables
```
-- [PyPi](https://pypi.org/project/tables) (π₯ 330K / month Β· π¦ 3.8K Β· β±οΈ 30.10.2019):
+- [PyPi](https://pypi.org/project/tables) (π₯ 280K / month Β· π¦ 3.8K Β· β±οΈ 30.10.2019):
```
pip install tables
```
@@ -4746,40 +4785,40 @@ _General-purpose data containers & structures as well as utilities & extensions
datasketch (π₯27 Β· β 1.4K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT
-- [GitHub](https://github.com/ekzhu/datasketch) (π¨βπ» 16 Β· π 200 Β· π₯ 16 Β· π¦ 250 Β· π 110 - 17% open Β· β±οΈ 23.12.2020):
+- [GitHub](https://github.com/ekzhu/datasketch) (π¨βπ» 16 Β· π 210 Β· π₯ 16 Β· π¦ 250 Β· π 110 - 16% open Β· β±οΈ 23.12.2020):
```
git clone https://github.com/ekzhu/datasketch
```
-- [PyPi](https://pypi.org/project/datasketch) (π₯ 180K / month Β· π¦ 86 Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/datasketch) (π₯ 150K / month Β· π¦ 86 Β· β±οΈ 15.12.2020):
```
pip install datasketch
```
zarr (π₯27 Β· β 620) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT
+zarr (π₯27 Β· β 630) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT
-- [GitHub](https://github.com/zarr-developers/zarr-python) (π¨βπ» 35 Β· π 110 Β· π¦ 520 Β· π 410 - 43% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/zarr-developers/zarr-python) (π¨βπ» 35 Β· π 110 Β· π¦ 530 Β· π 410 - 43% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/zarr-developers/zarr-python
```
-- [PyPi](https://pypi.org/project/zarr) (π₯ 73K / month Β· π¦ 72 Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/zarr) (π₯ 74K / month Β· π¦ 72 Β· β±οΈ 02.12.2020):
```
pip install zarr
```
-- [Conda](https://anaconda.org/conda-forge/zarr) (π₯ 530K Β· β±οΈ 03.12.2020):
+- [Conda](https://anaconda.org/conda-forge/zarr) (π₯ 540K Β· β±οΈ 03.12.2020):
```
conda install -c conda-forge zarr
```
swifter (π₯25 Β· β 1.5K) - A package which efficiently applies any function to a pandas.. MIT
-- [GitHub](https://github.com/jmcarpenter2/swifter) (π¨βπ» 14 Β· π 68 Β· π¦ 270 Β· π 90 - 15% open Β· β±οΈ 19.12.2020):
+- [GitHub](https://github.com/jmcarpenter2/swifter) (π¨βπ» 14 Β· π 68 Β· π¦ 280 Β· π 90 - 15% open Β· β±οΈ 19.12.2020):
```
git clone https://github.com/jmcarpenter2/swifter
```
-- [PyPi](https://pypi.org/project/swifter) (π₯ 46K / month Β· π¦ 16 Β· β±οΈ 11.10.2020):
+- [PyPi](https://pypi.org/project/swifter) (π₯ 41K / month Β· π¦ 16 Β· β±οΈ 11.10.2020):
```
pip install swifter
```
@@ -4795,7 +4834,7 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/Blosc/bcolz
```
-- [PyPi](https://pypi.org/project/bcolz) (π₯ 19K / month Β· π¦ 970 Β· β±οΈ 13.04.2018):
+- [PyPi](https://pypi.org/project/bcolz) (π₯ 16K / month Β· π¦ 970 Β· β±οΈ 13.04.2018):
```
pip install bcolz
```
@@ -4804,26 +4843,42 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge bcolz
```
Arctic (π₯24 Β· β 2.2K) - Arctic is a high performance datastore for numeric data. βοΈLGPL-2.1
+
+- [GitHub](https://github.com/man-group/arctic) (π¨βπ» 71 Β· π 440 Β· π₯ 92 Β· π¦ 100 Β· π 510 - 17% open Β· β±οΈ 26.01.2021):
+
+ ```
+ git clone https://github.com/man-group/arctic
+ ```
+- [PyPi](https://pypi.org/project/arctic) (π₯ 1.9K / month Β· π¦ 42 Β· β±οΈ 01.12.2020):
+ ```
+ pip install arctic
+ ```
+- [Conda](https://anaconda.org/conda-forge/arctic) (π₯ 12K Β· β±οΈ 16.12.2019):
+ ```
+ conda install -c conda-forge arctic
+ ```
+PandaralΒ·lel (π₯23 Β· β 1.3K) - A simple and efficient tool to parallelize Pandas.. BSD-3
-- [GitHub](https://github.com/nalepae/pandarallel) (π¨βπ» 13 Β· π 92 Β· π¦ 140 Β· π 110 - 53% open Β· β±οΈ 16.12.2020):
+- [GitHub](https://github.com/nalepae/pandarallel) (π¨βπ» 13 Β· π 93 Β· π¦ 140 Β· π 110 - 53% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/nalepae/pandarallel
```
-- [PyPi](https://pypi.org/project/pandarallel) (π₯ 39K / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/pandarallel) (π₯ 35K / month Β· β±οΈ 25.08.2020):
```
pip install pandarallel
```
Vaex (π₯22 Β· β 5.7K) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data.. MIT
-- [GitHub](https://github.com/vaexio/vaex) (π¨βπ» 38 Β· π 440 Β· π₯ 200 Β· π 670 - 41% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/vaexio/vaex) (π¨βπ» 38 Β· π 440 Β· π₯ 200 Β· π 680 - 42% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/vaexio/vaex
```
-- [PyPi](https://pypi.org/project/vaex) (π₯ 3.1K / month Β· π¦ 2 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/vaex) (π₯ 3.1K / month Β· π¦ 2 Β· β±οΈ 27.01.2021):
```
pip install vaex
```
@@ -4832,48 +4887,48 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge vaex
```
datatable (π₯20 Β· β 1.1K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0
+datatable (π₯21 Β· β 1.1K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0
-- [GitHub](https://github.com/h2oai/datatable) (π¨βπ» 28 Β· π 95 Β· π₯ 760 Β· π 1.2K - 9% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/h2oai/datatable) (π¨βπ» 28 Β· π 96 Β· π₯ 920 Β· π 1.2K - 10% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/h2oai/datatable
```
-- [PyPi](https://pypi.org/project/datatable) (π₯ 14K / month Β· π¦ 6 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/datatable) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 10.12.2020):
```
pip install datatable
```
fletcher (π₯20 Β· β 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT
+StaticFrame (π₯20 Β· β 210) - The StaticFrame library defines the Series and Frame, immutable data.. MIT
-- [GitHub](https://github.com/xhochy/fletcher) (π¨βπ» 23 Β· π 32 Β· π₯ 12 Β· π¦ 3 Β· π 73 - 45% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/InvestmentSystems/static-frame) (π¨βπ» 15 Β· π 20 Β· π¦ 6 Β· π 280 - 11% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/xhochy/fletcher
+ git clone https://github.com/InvestmentSystems/static-frame
```
-- [PyPi](https://pypi.org/project/fletcher) (π₯ 260 / month Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/static-frame) (π₯ 920 / month Β· β±οΈ 25.01.2021):
```
- pip install fletcher
+ pip install static-frame
```
-- [Conda](https://anaconda.org/conda-forge/fletcher) (π₯ 18K Β· β±οΈ 17.01.2021):
+- [Conda](https://anaconda.org/conda-forge/static-frame) (π₯ 61K Β· β±οΈ 26.01.2021):
```
- conda install -c conda-forge fletcher
+ conda install -c conda-forge static-frame
```
StaticFrame (π₯20 Β· β 210) - The StaticFrame library defines the Series and Frame, immutable data.. MIT
+fletcher (π₯20 Β· β 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT
-- [GitHub](https://github.com/InvestmentSystems/static-frame) (π¨βπ» 14 Β· π 20 Β· π¦ 6 Β· π 270 - 13% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/xhochy/fletcher) (π¨βπ» 23 Β· π 32 Β· π₯ 12 Β· π¦ 3 Β· π 73 - 45% open Β· β±οΈ 26.01.2021):
```
- git clone https://github.com/InvestmentSystems/static-frame
+ git clone https://github.com/xhochy/fletcher
```
-- [PyPi](https://pypi.org/project/static-frame) (π₯ 1.2K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/fletcher) (π₯ 240 / month Β· β±οΈ 29.12.2020):
```
- pip install static-frame
+ pip install fletcher
```
-- [Conda](https://anaconda.org/conda-forge/static-frame) (π₯ 60K Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/conda-forge/fletcher) (π₯ 19K Β· β±οΈ 17.01.2021):
```
- conda install -c conda-forge static-frame
+ conda install -c conda-forge fletcher
```
Bounter (π₯18 Β· β 890) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT
@@ -4883,29 +4938,28 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/RaRe-Technologies/bounter
```
-- [PyPi](https://pypi.org/project/bounter) (π₯ 230 / month Β· π¦ 14 Β· β±οΈ 17.08.2020):
+- [PyPi](https://pypi.org/project/bounter) (π₯ 180 / month Β· π¦ 14 Β· β±οΈ 17.08.2020):
```
pip install bounter
```
PandaPy (π₯15 Β· β 470) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT
-- [GitHub](https://github.com/firmai/pandapy) (π¨βπ» 3 Β· π 44 Β· π¦ 1 Β· π 3 - 66% open Β· β±οΈ 12.11.2020):
+- [GitHub](https://github.com/firmai/pandapy) (π¨βπ» 3 Β· π 45 Β· π¦ 1 Β· π 3 - 66% open Β· β±οΈ 12.11.2020):
```
git clone https://github.com/firmai/pandapy
```
-- [PyPi](https://pypi.org/project/pandapy) (π₯ 57 / month Β· β±οΈ 25.01.2020):
+- [PyPi](https://pypi.org/project/pandapy) (π₯ 36 / month Β· β±οΈ 25.01.2020):
```
pip install pandapy
```
Show 6 hidden projects...
+Show 5 hidden projects...
- Blaze (π₯28 Β· β 2.9K Β· π) - NumPy and Pandas interface to Big Data. BSD-3
- sklearn-pandas (π₯28 Β· β 2.3K) - Pandas integration with sklearn. βοΈZlib βοΈLGPL-2.1
-- pandasql (π₯22 Β· β 930 Β· π) - sqldf for pandas. MIT MIT BSD-3
- Pandas Summary (π₯21 Β· β 360 Β· π) - An extension to pandas dataframes describe function. MIT Faker (π₯36 Β· β 12K) - Faker is a Python package that generates fake data for you. MIT
-- [GitHub](https://github.com/joke2k/faker) (π¨βπ» 380 Β· π 1.4K Β· π¦ 23K Β· π 480 - 27% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/joke2k/faker) (π¨βπ» 390 Β· π 1.4K Β· π¦ 23K Β· π 480 - 27% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/joke2k/faker
```
-- [PyPi](https://pypi.org/project/Faker) (π₯ 1.7M / month Β· π¦ 4.7K Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/Faker) (π₯ 1.6M / month Β· π¦ 4.7K Β· β±οΈ 26.01.2021):
```
pip install Faker
```
-- [Conda](https://anaconda.org/conda-forge/faker) (π₯ 360K Β· β±οΈ 20.01.2021):
+- [Conda](https://anaconda.org/conda-forge/faker) (π₯ 370K Β· β±οΈ 26.01.2021):
```
conda install -c conda-forge faker
```
xlrd (π₯33 Β· β 1.8K) - Please use openpyxl where you can... BSD-3
+xlrd (π₯33 Β· β 1.9K) - Please use openpyxl where you can... BSD-3
-- [GitHub](https://github.com/python-excel/xlrd) (π¨βπ» 50 Β· π 410 Β· π¦ 62K Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/python-excel/xlrd) (π¨βπ» 50 Β· π 410 Β· π¦ 63K Β· β±οΈ 12.12.2020):
```
git clone https://github.com/python-excel/xlrd
```
-- [PyPi](https://pypi.org/project/xlrd) (π₯ 4.8M / month Β· π¦ 14K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/xlrd) (π₯ 4.3M / month Β· π¦ 14K Β· β±οΈ 11.12.2020):
```
pip install xlrd
```
@@ -4951,28 +5005,28 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
xmltodict (π₯32 Β· β 4.2K Β· π€) - Python module that makes working with XML feel like you are.. MIT
-- [GitHub](https://github.com/martinblech/xmltodict) (π¨βπ» 41 Β· π 400 Β· π¦ 20K Β· π 200 - 31% open Β· β±οΈ 26.04.2020):
+- [GitHub](https://github.com/martinblech/xmltodict) (π¨βπ» 41 Β· π 400 Β· π¦ 21K Β· π 200 - 31% open Β· β±οΈ 26.04.2020):
```
git clone https://github.com/martinblech/xmltodict
```
-- [PyPi](https://pypi.org/project/xmltodict) (π₯ 3.7M / month Β· π¦ 8.2K Β· β±οΈ 11.02.2019):
+- [PyPi](https://pypi.org/project/xmltodict) (π₯ 3.3M / month Β· π¦ 8.2K Β· β±οΈ 11.02.2019):
```
pip install xmltodict
```
-- [Conda](https://anaconda.org/conda-forge/xmltodict) (π₯ 610K Β· β±οΈ 11.02.2019):
+- [Conda](https://anaconda.org/conda-forge/xmltodict) (π₯ 630K Β· β±οΈ 11.02.2019):
```
conda install -c conda-forge xmltodict
```
Tablib (π₯32 Β· β 3.8K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT
+Tablib (π₯32 Β· β 3.9K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT
-- [GitHub](https://github.com/jazzband/tablib) (π¨βπ» 110 Β· π 560 Β· π¦ 9.1K Β· π 230 - 14% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/jazzband/tablib) (π¨βπ» 110 Β· π 560 Β· π¦ 9.2K Β· π 230 - 14% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/jazzband/tablib
```
-- [PyPi](https://pypi.org/project/tablib) (π₯ 500K / month Β· π¦ 2.4K Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/tablib) (π₯ 450K / month Β· π¦ 2.4K Β· β±οΈ 05.12.2020):
```
pip install tablib
```
@@ -4983,12 +5037,12 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
TensorFlow Datasets (π₯32 Β· β 2.6K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 180 Β· π 940 Β· π¦ 3.4K Β· π 920 - 42% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 180 Β· π 940 Β· π¦ 3.5K Β· π 920 - 42% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 510K / month Β· π¦ 100 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 440K / month Β· π¦ 100 Β· β±οΈ 07.01.2021):
```
pip install tensorflow-datasets
```
@@ -5000,11 +5054,11 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/ahupp/python-magic
```
-- [PyPi](https://pypi.org/project/python-magic) (π₯ 1.3M / month Β· π¦ 5.1K Β· β±οΈ 16.01.2021):
+- [PyPi](https://pypi.org/project/python-magic) (π₯ 1.2M / month Β· π¦ 5.1K Β· β±οΈ 16.01.2021):
```
pip install python-magic
```
-- [Conda](https://anaconda.org/conda-forge/python-magic) (π₯ 74K Β· β±οΈ 24.12.2020):
+- [Conda](https://anaconda.org/conda-forge/python-magic) (π₯ 75K Β· β±οΈ 24.12.2020):
```
conda install -c conda-forge python-magic
```
@@ -5016,79 +5070,79 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/RaRe-Technologies/smart_open
```
-- [PyPi](https://pypi.org/project/smart-open) (π₯ 7.4M / month Β· π¦ 640 Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/smart-open) (π₯ 6.4M / month Β· π¦ 640 Β· β±οΈ 18.01.2021):
```
pip install smart-open
```
Datasets (π₯29 Β· β 6.5K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2
+Datasets (π₯29 Β· β 6.6K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2
-- [GitHub](https://github.com/huggingface/datasets) (π¨βπ» 200 Β· π 690 Β· π¦ 270 Β· π 510 - 37% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/huggingface/datasets) (π¨βπ» 210 Β· π 690 Β· π¦ 290 Β· π 520 - 37% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/huggingface/datasets
```
-- [PyPi](https://pypi.org/project/datasets) (π₯ 22K / month Β· π¦ 18 Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/datasets) (π₯ 21K / month Β· π¦ 18 Β· β±οΈ 04.01.2021):
```
pip install datasets
```
pandas-datareader (π₯29 Β· β 1.8K) - Extract data from a wide range of Internet sources.. BSD-3
-- [GitHub](https://github.com/pydata/pandas-datareader) (π¨βπ» 77 Β· π 490 Β· π¦ 7.5K Β· π 440 - 15% open Β· β±οΈ 31.12.2020):
+- [GitHub](https://github.com/pydata/pandas-datareader) (π¨βπ» 77 Β· π 500 Β· π¦ 7.6K Β· π 440 - 16% open Β· β±οΈ 31.12.2020):
```
git clone https://github.com/pydata/pandas-datareader
```
-- [PyPi](https://pypi.org/project/pandas-datareader) (π₯ 110K / month Β· π¦ 1.4K Β· β±οΈ 10.07.2020):
+- [PyPi](https://pypi.org/project/pandas-datareader) (π₯ 98K / month Β· π¦ 1.4K Β· β±οΈ 10.07.2020):
```
pip install pandas-datareader
```
-- [Conda](https://anaconda.org/conda-forge/pandas-datareader) (π₯ 87K Β· β±οΈ 20.11.2019):
+- [Conda](https://anaconda.org/conda-forge/pandas-datareader) (π₯ 88K Β· β±οΈ 20.11.2019):
```
conda install -c conda-forge pandas-datareader
```
PDFMiner (π₯27 Β· β 4.5K Β· π€) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT
+csvkit (π₯28 Β· β 4.5K) - A suite of utilities for converting to and working with CSV, the king of.. MIT
-- [GitHub](https://github.com/euske/pdfminer) (π¨βπ» 28 Β· π 1K Β· π¦ 2K Β· π 260 - 85% open Β· β±οΈ 18.01.2020):
+- [GitHub](https://github.com/wireservice/csvkit) (π¨βπ» 91 Β· π 540 Β· π¦ 810 Β· π 800 - 7% open Β· β±οΈ 30.10.2020):
```
- git clone https://github.com/euske/pdfminer
+ git clone https://github.com/wireservice/csvkit
```
-- [PyPi](https://pypi.org/project/pdfminer) (π₯ 160K / month Β· π¦ 1.5K Β· β±οΈ 25.11.2019):
+- [PyPi](https://pypi.org/project/csvkit) (π₯ 22K / month Β· π¦ 700 Β· β±οΈ 03.03.2020):
```
- pip install pdfminer
+ pip install csvkit
```
-- [Conda](https://anaconda.org/conda-forge/pdfminer) (π₯ 13K Β· β±οΈ 18.01.2021):
+- [Conda](https://anaconda.org/conda-forge/csvkit) (π₯ 45K Β· β±οΈ 28.05.2019):
```
- conda install -c conda-forge pdfminer
+ conda install -c conda-forge csvkit
```
csvkit (π₯27 Β· β 4.5K) - A suite of utilities for converting to and working with CSV, the king of.. MIT
+PDFMiner (π₯27 Β· β 4.5K Β· π€) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT
-- [GitHub](https://github.com/wireservice/csvkit) (π¨βπ» 91 Β· π 540 Β· π¦ 810 Β· π 800 - 7% open Β· β±οΈ 30.10.2020):
+- [GitHub](https://github.com/euske/pdfminer) (π¨βπ» 28 Β· π 1K Β· π¦ 2K Β· π 260 - 85% open Β· β±οΈ 18.01.2020):
```
- git clone https://github.com/wireservice/csvkit
+ git clone https://github.com/euske/pdfminer
```
-- [PyPi](https://pypi.org/project/csvkit) (π₯ 24K / month Β· π¦ 700 Β· β±οΈ 03.03.2020):
+- [PyPi](https://pypi.org/project/pdfminer) (π₯ 140K / month Β· π¦ 1.5K Β· β±οΈ 25.11.2019):
```
- pip install csvkit
+ pip install pdfminer
```
-- [Conda](https://anaconda.org/conda-forge/csvkit) (π₯ 45K Β· β±οΈ 28.05.2019):
+- [Conda](https://anaconda.org/conda-forge/pdfminer) (π₯ 14K Β· β±οΈ 18.01.2021):
```
- conda install -c conda-forge csvkit
+ conda install -c conda-forge pdfminer
```
snorkel (π₯27 Β· β 4.4K) - A system for quickly generating training data with weak supervision. Apache-2
-- [GitHub](https://github.com/snorkel-team/snorkel) (π¨βπ» 62 Β· π 710 Β· π₯ 490 Β· π¦ 66 Β· π 940 - 3% open Β· β±οΈ 05.09.2020):
+- [GitHub](https://github.com/snorkel-team/snorkel) (π¨βπ» 62 Β· π 710 Β· π₯ 500 Β· π¦ 66 Β· π 940 - 3% open Β· β±οΈ 05.09.2020):
```
git clone https://github.com/snorkel-team/snorkel
```
-- [PyPi](https://pypi.org/project/snorkel) (π₯ 61K / month Β· π¦ 4 Β· β±οΈ 07.04.2020):
+- [PyPi](https://pypi.org/project/snorkel) (π₯ 58K / month Β· π¦ 4 Β· β±οΈ 07.04.2020):
```
pip install snorkel
```
@@ -5104,23 +5158,23 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/frictionlessdata/tabulator-py
```
-- [PyPi](https://pypi.org/project/tabulator) (π₯ 84K / month Β· π¦ 100 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/tabulator) (π₯ 80K / month Β· π¦ 100 Β· β±οΈ 30.11.2020):
```
pip install tabulator
```
-- [Conda](https://anaconda.org/conda-forge/tabulator-py) (π₯ 37K Β· β±οΈ 24.07.2018):
+- [Conda](https://anaconda.org/conda-forge/tabulator-py) (π₯ 38K Β· β±οΈ 24.07.2018):
```
conda install -c conda-forge tabulator-py
```
Intake (π₯24 Β· β 520) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2
-- [GitHub](https://github.com/intake/intake) (π¨βπ» 51 Β· π 91 Β· π¦ 220 Β· π 260 - 28% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/intake/intake) (π¨βπ» 52 Β· π 91 Β· π¦ 220 Β· π 260 - 28% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/intake/intake
```
-- [PyPi](https://pypi.org/project/intake) (π₯ 2.2K / month Β· π¦ 74 Β· β±οΈ 03.06.2020):
+- [PyPi](https://pypi.org/project/intake) (π₯ 2.1K / month Β· π¦ 74 Β· β±οΈ 03.06.2020):
```
pip install intake
```
@@ -5131,24 +5185,24 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
SDV (π₯21 Β· β 310) - Synthetic Data Generation for tabular, relational and time series data. MIT
-- [GitHub](https://github.com/sdv-dev/SDV) (π¨βπ» 33 Β· π 56 Β· π¦ 13 Β· π 170 - 24% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/sdv-dev/SDV) (π¨βπ» 33 Β· π 58 Β· π¦ 13 Β· π 180 - 23% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/sdv-dev/SDV
```
-- [PyPi](https://pypi.org/project/sdv) (π₯ 940 / month Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/sdv) (π₯ 910 / month Β· β±οΈ 28.01.2021):
```
pip install sdv
```
datatest (π₯21 Β· β 240) - Tools for test driven data-wrangling and data validation. Apache-2
-- [GitHub](https://github.com/shawnbrown/datatest) (π¨βπ» 6 Β· π 13 Β· π¦ 29 Β· π 51 - 17% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/shawnbrown/datatest) (π¨βπ» 6 Β· π 13 Β· π¦ 29 Β· π 51 - 17% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/shawnbrown/datatest
```
-- [PyPi](https://pypi.org/project/datatest) (π₯ 2K / month Β· π¦ 2 Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/datatest) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 04.01.2021):
```
pip install datatest
```
@@ -5157,10 +5211,10 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
- textract (π₯26 Β· β 2.9K Β· π) - extract text from any document. no muss. no fuss. MIT
- Camelot (π₯23 Β· β 3K Β· π) - Camelot: PDF Table Extraction for Humans. MIT
-- Singer (π₯23 Β· β 670) - Standard for moving data between databases, web APIs, files, queues,.. βοΈAGPL-3.0
+- Singer (π₯23 Β· β 680) - Standard for moving data between databases, web APIs, files, queues,.. βοΈAGPL-3.0
- messytables (π₯23 Β· β 360 Β· π) - Tools for parsing messy tabular data. This is now superseded by.. MIT
-- pyexcel-xlsx (π₯23 Β· β 83) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3
-- openpyxl (π₯22 Β· β 17 Β· β) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT
+- pyexcel-xlsx (π₯23 Β· β 84) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3
+- openpyxl (π₯22 Β· β 17) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT
- rows (π₯20 Β· β 730) - A common, beautiful interface to tabular data, no matter the format. βοΈLGPL-3.0
@@ -5171,7 +5225,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
_Libraries for web scraping, crawling, downloading, and mining as well as libraries._
-π best-of-web-python - Web Scraping ( β 820) - Collection of web-scraping and crawling libraries.
+π best-of-web-python - Web Scraping ( β 960) - Collection of web-scraping and crawling libraries.
@@ -5183,12 +5237,12 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Celery (π₯37 Β· β 17K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3
-- [GitHub](https://github.com/celery/celery) (π¨βπ» 1.1K Β· π 3.9K Β· π¦ 48K Β· π 4.4K - 11% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/celery/celery) (π¨βπ» 1.1K Β· π 3.9K Β· π¦ 48K Β· π 4.4K - 11% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/celery/celery
```
-- [PyPi](https://pypi.org/project/celery) (π₯ 1.8M / month Β· π¦ 28K Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/celery) (π₯ 1.7M / month Β· π¦ 28K Β· β±οΈ 16.12.2020):
```
pip install celery
```
@@ -5199,48 +5253,48 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Airflow (π₯35 Β· β 20K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2
-- [GitHub](https://github.com/apache/airflow) (π¨βπ» 1.7K Β· π 7.8K Β· π₯ 79K Β· π 2.9K - 34% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/apache/airflow) (π¨βπ» 1.7K Β· π 7.9K Β· π₯ 82K Β· π 2.9K - 34% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/apache/airflow
```
-- [PyPi](https://pypi.org/project/apache-airflow) (π₯ 510K / month Β· π¦ 290 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/apache-airflow) (π₯ 480K / month Β· π¦ 290 Β· β±οΈ 14.12.2020):
```
pip install apache-airflow
```
-- [Conda](https://anaconda.org/conda-forge/airflow) (π₯ 260K Β· β±οΈ 26.11.2020):
+- [Conda](https://anaconda.org/conda-forge/airflow) (π₯ 270K Β· β±οΈ 26.11.2020):
```
conda install -c conda-forge airflow
```
-- [Docker Hub](https://hub.docker.com/r/apache/airflow) (π₯ 5.1M Β· β 200 Β· β±οΈ 21.01.2021):
+- [Docker Hub](https://hub.docker.com/r/apache/airflow) (π₯ 5.3M Β· β 210 Β· β±οΈ 26.01.2021):
```
docker pull apache/airflow
```
joblib (π₯35 Β· β 2.3K) - Computing with Python functions. BSD-3
-- [GitHub](https://github.com/joblib/joblib) (π¨βπ» 98 Β· π 290 Β· π¦ 78K Β· π 640 - 45% open Β· β±οΈ 28.12.2020):
+- [GitHub](https://github.com/joblib/joblib) (π¨βπ» 98 Β· π 290 Β· π¦ 79K Β· π 640 - 45% open Β· β±οΈ 28.12.2020):
```
git clone https://github.com/joblib/joblib
```
-- [PyPi](https://pypi.org/project/joblib) (π₯ 15M / month Β· π¦ 6.6K Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/joblib) (π₯ 13M / month Β· π¦ 6.6K Β· β±οΈ 14.12.2020):
```
pip install joblib
```
-- [Conda](https://anaconda.org/conda-forge/joblib) (π₯ 2.9M Β· β±οΈ 14.12.2020):
+- [Conda](https://anaconda.org/conda-forge/joblib) (π₯ 3M Β· β±οΈ 14.12.2020):
```
conda install -c conda-forge joblib
```
luigi (π₯33 Β· β 14K) - Luigi is a Python module that helps you build complex pipelines of batch.. Apache-2
-- [GitHub](https://github.com/spotify/luigi) (π¨βπ» 550 Β· π 2.2K Β· π¦ 1.3K Β· π 900 - 7% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/spotify/luigi) (π¨βπ» 550 Β· π 2.2K Β· π¦ 1.3K Β· π 900 - 6% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/spotify/luigi
```
-- [PyPi](https://pypi.org/project/luigi) (π₯ 340K / month Β· π¦ 680 Β· β±οΈ 23.09.2020):
+- [PyPi](https://pypi.org/project/luigi) (π₯ 320K / month Β· π¦ 680 Β· β±οΈ 23.09.2020):
```
pip install luigi
```
@@ -5251,12 +5305,12 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
rq (π₯33 Β· β 7.5K) - Simple job queues for Python. BSD-3
-- [GitHub](https://github.com/rq/rq) (π¨βπ» 220 Β· π 1.2K Β· π¦ 7.1K Β· π 810 - 17% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/rq/rq) (π¨βπ» 220 Β· π 1.2K Β· π¦ 7.2K Β· π 810 - 17% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/rq/rq
```
-- [PyPi](https://pypi.org/project/rq) (π₯ 210K / month Β· π¦ 3.3K Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/rq) (π₯ 190K / month Β· π¦ 3.3K Β· β±οΈ 29.11.2020):
```
pip install rq
```
@@ -5267,28 +5321,28 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Beam (π₯32 Β· β 4.5K) - Unified programming model to define and execute data processing.. Apache-2
-- [GitHub](https://github.com/apache/beam) (π¨βπ» 1K Β· π 2.8K Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/apache/beam) (π¨βπ» 1K Β· π 2.8K Β· β±οΈ 28.01.2021):
```
git clone https://github.com/apache/beam
```
-- [PyPi](https://pypi.org/project/apache-beam) (π₯ 1.3M / month Β· π¦ 190 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/apache-beam) (π₯ 1.2M / month Β· π¦ 190 Β· β±οΈ 08.01.2021):
```
pip install apache-beam
```
Prefect (π₯30 Β· β 5.7K) - The easiest way to automate your data. Apache-2
+Prefect (π₯30 Β· β 5.8K) - The easiest way to automate your data. Apache-2
-- [GitHub](https://github.com/PrefectHQ/prefect) (π¨βπ» 180 Β· π 500 Β· π¦ 240 Β· π 1.5K - 14% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/PrefectHQ/prefect) (π¨βπ» 180 Β· π 500 Β· π¦ 240 Β· π 1.5K - 14% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/PrefectHQ/prefect
```
-- [PyPi](https://pypi.org/project/prefect) (π₯ 43K / month Β· π¦ 2 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/prefect) (π₯ 43K / month Β· π¦ 2 Β· β±οΈ 26.01.2021):
```
pip install prefect
```
-- [Conda](https://anaconda.org/conda-forge/prefect) (π₯ 66K Β· β±οΈ 20.01.2021):
+- [Conda](https://anaconda.org/conda-forge/prefect) (π₯ 67K Β· β±οΈ 27.01.2021):
```
conda install -c conda-forge prefect
```
@@ -5300,7 +5354,7 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/Yelp/mrjob
```
-- [PyPi](https://pypi.org/project/mrjob) (π₯ 99K / month Β· π¦ 110 Β· β±οΈ 17.09.2020):
+- [PyPi](https://pypi.org/project/mrjob) (π₯ 86K / month Β· π¦ 110 Β· β±οΈ 17.09.2020):
```
pip install mrjob
```
@@ -5309,26 +5363,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
conda install -c conda-forge mrjob
```
Kedro (π₯28 Β· β 3.3K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2
-
-- [GitHub](https://github.com/quantumblacklabs/kedro) (π¨βπ» 94 Β· π 380 Β· π¦ 360 Β· π 430 - 20% open Β· β±οΈ 21.01.2021):
-
- ```
- git clone https://github.com/quantumblacklabs/kedro
- ```
-- [PyPi](https://pypi.org/project/kedro) (π₯ 50K / month Β· π¦ 16 Β· β±οΈ 17.12.2020):
- ```
- pip install kedro
- ```
-dbt (π₯28 Β· β 2.4K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2
+dbt (π₯29 Β· β 2.4K Β· π) - dbt (data build tool) enables data analysts and engineers to.. Apache-2
-- [GitHub](https://github.com/fishtown-analytics/dbt) (π¨βπ» 130 Β· π 480 Β· π¦ 170 Β· π 1.7K - 15% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/fishtown-analytics/dbt) (π¨βπ» 130 Β· π 480 Β· π¦ 180 Β· π 1.7K - 15% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/fishtown-analytics/dbt
```
-- [PyPi](https://pypi.org/project/dbt) (π₯ 96K / month Β· π¦ 18 Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/dbt) (π₯ 95K / month Β· π¦ 18 Β· β±οΈ 27.01.2021):
```
pip install dbt
```
@@ -5337,26 +5379,38 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
conda install -c conda-forge dbt
```
faust (π₯27 Β· β 5.2K) - Python Stream Processing. BSD-3
+faust (π₯28 Β· β 5.2K Β· π) - Python Stream Processing. BSD-3
-- [GitHub](https://github.com/robinhood/faust) (π¨βπ» 91 Β· π 420 Β· π¦ 590 Β· π 440 - 50% open Β· β±οΈ 09.10.2020):
+- [GitHub](https://github.com/robinhood/faust) (π¨βπ» 91 Β· π 440 Β· π¦ 610 Β· π 450 - 51% open Β· β±οΈ 09.10.2020):
```
git clone https://github.com/robinhood/faust
```
-- [PyPi](https://pypi.org/project/faust) (π₯ 50K / month Β· π¦ 28 Β· β±οΈ 25.02.2020):
+- [PyPi](https://pypi.org/project/faust) (π₯ 60K / month Β· π¦ 28 Β· β±οΈ 25.02.2020):
```
pip install faust
```
Kedro (π₯28 Β· β 3.3K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2
+
+- [GitHub](https://github.com/quantumblacklabs/kedro) (π¨βπ» 94 Β· π 380 Β· π¦ 370 Β· π 430 - 20% open Β· β±οΈ 28.01.2021):
+
+ ```
+ git clone https://github.com/quantumblacklabs/kedro
+ ```
+- [PyPi](https://pypi.org/project/kedro) (π₯ 46K / month Β· π¦ 16 Β· β±οΈ 17.12.2020):
+ ```
+ pip install kedro
+ ```
+Dagster (π₯27 Β· β 2.8K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2
-- [GitHub](https://github.com/dagster-io/dagster) (π¨βπ» 110 Β· π 270 Β· π¦ 130 Β· π 2.4K - 24% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/dagster-io/dagster) (π¨βπ» 120 Β· π 280 Β· π¦ 130 Β· π 2.5K - 24% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/dagster-io/dagster
```
-- [PyPi](https://pypi.org/project/dagster) (π₯ 22K / month Β· π¦ 4 Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/dagster) (π₯ 24K / month Β· π¦ 4 Β· β±οΈ 22.01.2021):
```
pip install dagster
```
@@ -5365,14 +5419,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
conda install -c conda-forge dagster
```
petl (π₯27 Β· β 810) - Python Extract Transform and Load Tables of Data. MIT
+petl (π₯27 Β· β 820) - Python Extract Transform and Load Tables of Data. MIT
-- [GitHub](https://github.com/petl-developers/petl) (π¨βπ» 44 Β· π 150 Β· π¦ 310 Β· π 410 - 16% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/petl-developers/petl) (π¨βπ» 44 Β· π 150 Β· π¦ 320 Β· π 410 - 16% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/petl-developers/petl
```
-- [PyPi](https://pypi.org/project/petl) (π₯ 12K / month Β· π¦ 110 Β· β±οΈ 06.10.2020):
+- [PyPi](https://pypi.org/project/petl) (π₯ 13K / month Β· π¦ 110 Β· β±οΈ 06.10.2020):
```
pip install petl
```
@@ -5388,19 +5442,19 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/EntilZha/PyFunctional
```
-- [PyPi](https://pypi.org/project/pyfunctional) (π₯ 28K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pyfunctional) (π₯ 27K / month Β· β±οΈ 12.01.2021):
```
pip install pyfunctional
```
TFX (π₯26 Β· β 1.3K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 100 Β· π 370 Β· π 500 - 39% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 100 Β· π 380 Β· π 510 - 39% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 100K / month Β· π¦ 4 Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 94K / month Β· π¦ 4 Β· β±οΈ 06.01.2021):
```
pip install tfx
```
@@ -5412,19 +5466,19 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/Parsely/streamparse
```
-- [PyPi](https://pypi.org/project/streamparse) (π₯ 1.5K / month Β· π¦ 26 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/streamparse) (π₯ 1.6K / month Β· π¦ 26 Β· β±οΈ 07.10.2020):
```
pip install streamparse
```
Great Expectations (π₯23 Β· β 3.5K) - Always know what to expect from your data. Apache-2
-- [GitHub](https://github.com/great-expectations/great_expectations) (π¨βπ» 140 Β· π 390 Β· π 760 - 22% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/great-expectations/great_expectations) (π¨βπ» 140 Β· π 420 Β· π 760 - 22% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/great-expectations/great_expectations
```
-- [PyPi](https://pypi.org/project/great_expectations) (π₯ 330K / month Β· π¦ 6 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/great_expectations) (π₯ 290K / month Β· π¦ 6 Β· β±οΈ 28.01.2021):
```
pip install great_expectations
```
@@ -5436,69 +5490,69 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/python-bonobo/bonobo
```
-- [PyPi](https://pypi.org/project/bonobo) (π₯ 2K / month Β· π¦ 24 Β· β±οΈ 20.07.2019):
+- [PyPi](https://pypi.org/project/bonobo) (π₯ 2.1K / month Β· π¦ 24 Β· β±οΈ 20.07.2019):
```
pip install bonobo
```
Optimus (π₯23 Β· β 970) - Agile Data Preparation Workflows madeeasy with dask, cudf,.. Apache-2
-- [GitHub](https://github.com/ironmussa/Optimus) (π¨βπ» 21 Β· π 190 Β· π¦ 12 Β· π 300 - 45% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/ironmussa/Optimus) (π¨βπ» 21 Β· π 190 Β· π¦ 13 Β· π 300 - 45% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/ironmussa/Optimus
```
-- [PyPi](https://pypi.org/project/optimuspyspark) (π₯ 4.5K / month Β· β±οΈ 30.05.2019):
+- [PyPi](https://pypi.org/project/optimuspyspark) (π₯ 4K / month Β· β±οΈ 30.05.2019):
```
pip install optimuspyspark
```
pysparkling (π₯23 Β· β 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT
+Hub (π₯23 Β· β 790) - Fastest unstructured dataset management for TensorFlow/PyTorch... MPL-2.0
-- [GitHub](https://github.com/svenkreiss/pysparkling) (π¨βπ» 9 Β· π 43 Β· π¦ 56 Β· π 21 - 4% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/activeloopai/Hub) (π¨βπ» 54 Β· π 130 Β· π¦ 120 Β· π 190 - 42% open Β· β±οΈ 27.01.2021):
```
- git clone https://github.com/svenkreiss/pysparkling
+ git clone https://github.com/activeloopai/Hub
```
-- [PyPi](https://pypi.org/project/pysparkling) (π₯ 4.5K / month Β· π¦ 14 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/hub) (π₯ 1K / month Β· π¦ 52 Β· β±οΈ 24.01.2021):
```
- pip install pysparkling
+ pip install hub
```
Pypeline (π₯21 Β· β 1.2K) - Concurrent data pipelines in Python . MIT
+pysparkling (π₯23 Β· β 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT
-- [GitHub](https://github.com/cgarciae/pypeln) (π¨βπ» 9 Β· π 66 Β· π 47 - 25% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/svenkreiss/pysparkling) (π¨βπ» 10 Β· π 43 Β· π¦ 56 Β· π 24 - 12% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/cgarciae/pypeln
+ git clone https://github.com/svenkreiss/pysparkling
```
-- [PyPi](https://pypi.org/project/pypeln) (π₯ 2.4K / month Β· π¦ 5 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/pysparkling) (π₯ 4.8K / month Β· π¦ 14 Β· β±οΈ 10.01.2021):
```
- pip install pypeln
+ pip install pysparkling
```
dpark (π₯20 Β· β 2.6K) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3
+dpark (π₯21 Β· β 2.6K) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3
- [GitHub](https://github.com/douban/dpark) (π¨βπ» 35 Β· π 550 Β· π¦ 3 Β· β±οΈ 25.12.2020):
```
git clone https://github.com/douban/dpark
```
-- [PyPi](https://pypi.org/project/dpark) (π₯ 10 / month Β· π¦ 1 Β· β±οΈ 27.07.2018):
+- [PyPi](https://pypi.org/project/dpark) (π₯ 25 / month Β· π¦ 1 Β· β±οΈ 27.07.2018):
```
pip install dpark
```
mrq (π₯20 Β· β 830) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT
+Pypeline (π₯21 Β· β 1.2K) - Concurrent data pipelines in Python . MIT
-- [GitHub](https://github.com/pricingassistant/mrq) (π¨βπ» 37 Β· π 110 Β· π¦ 23 Β· π 180 - 32% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/cgarciae/pypeln) (π¨βπ» 9 Β· π 66 Β· π 47 - 25% open Β· β±οΈ 05.01.2021):
```
- git clone https://github.com/pricingassistant/mrq
+ git clone https://github.com/cgarciae/pypeln
```
-- [PyPi](https://pypi.org/project/mrq) (π₯ 180 / month Β· π¦ 12 Β· β±οΈ 31.08.2018):
+- [PyPi](https://pypi.org/project/pypeln) (π₯ 2.6K / month Β· π¦ 5 Β· β±οΈ 05.01.2021):
```
- pip install mrq
+ pip install pypeln
```
pdpipe (π₯20 Β· β 580) - Easy pipelines for pandas DataFrames. MIT
@@ -5508,7 +5562,7 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/pdpipe/pdpipe
```
-- [PyPi](https://pypi.org/project/pdpipe) (π₯ 730 / month Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/pdpipe) (π₯ 680 / month Β· β±οΈ 09.11.2020):
```
pip install pdpipe
```
@@ -5520,14 +5574,26 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/closeio/tasktiger
```
-- [PyPi](https://pypi.org/project/tasktiger) (π₯ 300 / month Β· π¦ 9 Β· β±οΈ 18.06.2020):
+- [PyPi](https://pypi.org/project/tasktiger) (π₯ 280 / month Β· π¦ 9 Β· β±οΈ 18.06.2020):
```
pip install tasktiger
```
mrq (π₯19 Β· β 830) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT
+
+- [GitHub](https://github.com/pricingassistant/mrq) (π¨βπ» 37 Β· π 110 Β· π¦ 23 Β· π 180 - 32% open Β· β±οΈ 13.12.2020):
+
+ ```
+ git clone https://github.com/pricingassistant/mrq
+ ```
+- [PyPi](https://pypi.org/project/mrq) (π₯ 140 / month Β· π¦ 12 Β· β±οΈ 31.08.2018):
+ ```
+ pip install mrq
+ ```
+spark-deep-learning (π₯18 Β· β 1.8K) - Deep Learning Pipelines for Apache Spark. Apache-2
-- [GitHub](https://github.com/databricks/spark-deep-learning) (π¨βπ» 15 Β· π 440 Β· π¦ 16 Β· π 99 - 73% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/databricks/spark-deep-learning) (π¨βπ» 15 Β· π 440 Β· π¦ 16 Β· π 100 - 74% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/databricks/spark-deep-learning
@@ -5540,19 +5606,19 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/nerevu/riko
```
-- [PyPi](https://pypi.org/project/riko) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 14.08.2020):
+- [PyPi](https://pypi.org/project/riko) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 14.08.2020):
```
pip install riko
```
Databolt Flow (π₯18 Β· β 890) - Python library for building highly effective data science workflows. MIT
+Databolt Flow (π₯18 Β· β 900) - Python library for building highly effective data science workflows. MIT
- [GitHub](https://github.com/d6t/d6tflow) (π¨βπ» 10 Β· π 64 Β· π¦ 12 Β· π 16 - 31% open Β· β±οΈ 19.12.2020):
```
git clone https://github.com/d6t/d6tflow
```
-- [PyPi](https://pypi.org/project/d6tflow) (π₯ 140 / month Β· β±οΈ 19.12.2020):
+- [PyPi](https://pypi.org/project/d6tflow) (π₯ 110 / month Β· β±οΈ 19.12.2020):
```
pip install d6tflow
```
@@ -5564,26 +5630,26 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/olirice/flupy
```
-- [PyPi](https://pypi.org/project/flupy) (π₯ 2.1K / month Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/flupy) (π₯ 2.4K / month Β· β±οΈ 06.01.2021):
```
pip install flupy
```
Mara Pipelines (π₯17 Β· β 1.6K) - A lightweight opinionated ETL framework, halfway between plain.. MIT
-- [GitHub](https://github.com/mara/mara-pipelines) (π¨βπ» 15 Β· π 76 Β· π¦ 7 Β· π 17 - 35% open Β· β±οΈ 31.07.2020):
+- [GitHub](https://github.com/mara/mara-pipelines) (π¨βπ» 16 Β· π 76 Β· π¦ 7 Β· π 18 - 33% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/mara/mara-pipelines
```
-- [PyPi](https://pypi.org/project/mara-pipelines) (π₯ 26 / month Β· β±οΈ 31.07.2020):
+- [PyPi](https://pypi.org/project/mara-pipelines) (π₯ 27 / month Β· β±οΈ 31.07.2020):
```
pip install mara-pipelines
```
BatchFlow (π₯17 Β· β 150) - BatchFlow helps you conveniently work with random or sequential.. Apache-2
-- [GitHub](https://github.com/analysiscenter/batchflow) (π¨βπ» 28 Β· π 33 Β· π 100 - 49% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/analysiscenter/batchflow) (π¨βπ» 28 Β· π 34 Β· π 100 - 49% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/analysiscenter/batchflow
@@ -5593,21 +5659,21 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
pip install batchflow
```
zenml (π₯15 Β· β 400 Β· π£) - ZenML: Bring Zen to your ML with reproducible pipelines. Apache-2
+zenml (π₯14 Β· β 470 Β· π£) - ZenML: Bring Zen to your ML with reproducible pipelines. Apache-2
-- [GitHub](https://github.com/maiot-io/zenml) (π¨βπ» 7 Β· π 24 Β· π¦ 1 Β· π 4 - 25% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/maiot-io/zenml) (π¨βπ» 7 Β· π 28 Β· π¦ 1 Β· π 4 - 25% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/maiot-io/zenml
```
-- [PyPi](https://pypi.org/project/zenml) (π₯ 220 / month Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/zenml) (π₯ 150 / month Β· β±οΈ 22.01.2021):
```
pip install zenml
```
Show 2 hidden projects...
-- ploomber (π₯18 Β· β 110) - A convention over configuration workflow orchestrator. Develop.. Apache-2
+- ploomber (π₯18 Β· β 120) - A convention over configuration workflow orchestrator. Develop.. Apache-2
- Botflow (π₯16 Β· β 1.2K Β· π) - Python Fast Dataflow programming framework for Data pipeline work(.. BSD-3
@@ -5620,39 +5686,39 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (π₯35 Β· β 7.8K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 420 Β· π 1.2K Β· π¦ 25K Β· π 3.5K - 20% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 420 Β· π 1.2K Β· π¦ 25K Β· π 3.5K - 20% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 1.2M / month Β· π¦ 3.9K Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/dask) (π₯ 1.1M / month Β· π¦ 3.9K Β· β±οΈ 22.01.2021):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 2.9M Β· β±οΈ 16.01.2021):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 2.9M Β· β±οΈ 23.01.2021):
```
conda install -c conda-forge dask
```
dask.distributed (π₯34 Β· β 1.1K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 230 Β· π 510 Β· π¦ 16K Β· π 2K - 36% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 230 Β· π 510 Β· π¦ 16K Β· π 2K - 36% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 720K / month Β· π¦ 1.8K Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 700K / month Β· π¦ 1.8K Β· β±οΈ 22.01.2021):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 3.5M Β· β±οΈ 18.01.2021):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 3.6M Β· β±οΈ 23.01.2021):
```
conda install -c conda-forge distributed
```
Ray (π₯33 Β· β 15K) - An open source framework that provides a simple, universal API for.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 420 Β· π 2.3K Β· π¦ 1.5K Β· π 5.8K - 21% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 420 Β· π 2.3K Β· π¦ 1.5K Β· π 5.8K - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/ray-project/ray
@@ -5664,52 +5730,52 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
horovod (π₯30 Β· β 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 110 Β· π 1.7K Β· π¦ 310 Β· π 1.7K - 15% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 110 Β· π 1.7K Β· π¦ 320 Β· π 1.7K - 15% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 110K / month Β· π¦ 40 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 92K / month Β· π¦ 40 Β· β±οΈ 07.01.2021):
```
pip install horovod
```
ipyparallel (π₯29 Β· β 1.9K) - Interactive Parallel Computing in Python. BSD-3
+ipyparallel (π₯28 Β· β 1.9K) - Interactive Parallel Computing in Python. BSD-3
-- [GitHub](https://github.com/ipython/ipyparallel) (π¨βπ» 94 Β· π 730 Β· π¦ 1.4K Β· π 250 - 56% open Β· β±οΈ 24.08.2020):
+- [GitHub](https://github.com/ipython/ipyparallel) (π¨βπ» 94 Β· π 730 Β· π¦ 1.4K Β· π 250 - 57% open Β· β±οΈ 24.08.2020):
```
git clone https://github.com/ipython/ipyparallel
```
-- [PyPi](https://pypi.org/project/ipyparallel) (π₯ 62K / month Β· π¦ 490 Β· β±οΈ 05.05.2020):
+- [PyPi](https://pypi.org/project/ipyparallel) (π₯ 49K / month Β· π¦ 490 Β· β±οΈ 05.05.2020):
```
pip install ipyparallel
```
-- [Conda](https://anaconda.org/conda-forge/ipyparallel) (π₯ 370K Β· β±οΈ 14.12.2020):
+- [Conda](https://anaconda.org/conda-forge/ipyparallel) (π₯ 370K Β· β±οΈ 22.01.2021):
```
conda install -c conda-forge ipyparallel
```
Mesh (π₯26 Β· β 690) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
+Mesh (π₯26 Β· β 720) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 38 Β· π 120 Β· π¦ 490 Β· π 84 - 85% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 38 Β· π 120 Β· π¦ 490 Β· π 84 - 85% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 85K / month Β· π¦ 28 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 83K / month Β· π¦ 28 Β· β±οΈ 17.12.2020):
```
pip install mesh-tensorflow
```
dask-ml (π₯26 Β· β 680) - Scalable Machine Learning with Dask. BSD-3
-- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 61 Β· π 180 Β· π¦ 330 Β· π 370 - 46% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 61 Β· π 180 Β· π¦ 330 Β· π 380 - 45% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 26K / month Β· π¦ 42 Β· β±οΈ 24.09.2020):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 18K / month Β· π¦ 42 Β· β±οΈ 24.09.2020):
```
pip install dask-ml
```
@@ -5725,7 +5791,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 1.2K / month Β· π¦ 6 Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 1.5K / month Β· π¦ 6 Β· β±οΈ 29.12.2020):
```
pip install bigdl
```
@@ -5738,61 +5804,61 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
TensorFlowOnSpark (π₯25 Β· β 3.6K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
+mpi4py (π₯25 Β· β 380) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 33 Β· π 930 Β· π 340 - 1% open Β· β±οΈ 21.12.2020):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 13 Β· π 61 Β· π₯ 810 Β· π 8 - 25% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/yahoo/TensorFlowOnSpark
+ git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 65K / month Β· π¦ 5 Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 110K / month Β· π¦ 700 Β· β±οΈ 04.11.2019):
```
- pip install tensorflowonspark
+ pip install mpi4py
+ ```
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 510K Β· β±οΈ 19.01.2021):
+ ```
+ conda install -c conda-forge mpi4py
```
mpi4py (π₯25 Β· β 370) - Python bindings for MPI. BSD-3
+TensorFlowOnSpark (π₯24 Β· β 3.6K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 13 Β· π 61 Β· π₯ 810 Β· π 5 - 40% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 33 Β· π 930 Β· π 340 - 1% open Β· β±οΈ 27.01.2021):
```
- git clone https://github.com/mpi4py/mpi4py
- ```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 130K / month Β· π¦ 700 Β· β±οΈ 04.11.2019):
- ```
- pip install mpi4py
+ git clone https://github.com/yahoo/TensorFlowOnSpark
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 510K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 57K / month Β· π¦ 5 Β· β±οΈ 18.12.2020):
```
- conda install -c conda-forge mpi4py
+ pip install tensorflowonspark
```
Elephas (π₯24 Β· β 1.4K) - Distributed Deep learning with Keras & Spark. MIT keras
+Elephas (π₯24 Β· β 1.4K) - Distributed Deep learning with Keras & Spark. MIT keras
-- [GitHub](https://github.com/maxpumperla/elephas) (π¨βπ» 26 Β· π 290 Β· π¦ 36 Β· π 130 - 18% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/maxpumperla/elephas) (π¨βπ» 26 Β· π 290 Β· π¦ 36 Β· π 130 - 16% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/maxpumperla/elephas
```
-- [PyPi](https://pypi.org/project/elephas) (π₯ 7.7K / month Β· π¦ 3 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/elephas) (π₯ 7.3K / month Β· π¦ 3 Β· β±οΈ 25.01.2021):
```
pip install elephas
```
petastorm (π₯24 Β· β 1.1K) - Petastorm library enables single machine or distributed training.. Apache-2
+petastorm (π₯24 Β· β 1.1K) - Petastorm library enables single machine or distributed training.. Apache-2
-- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 37 Β· π 180 Β· π₯ 290 Β· π¦ 24 Β· π 230 - 52% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 38 Β· π 180 Β· π₯ 290 Β· π¦ 25 Β· π 230 - 52% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (π₯ 29K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/petastorm) (π₯ 33K / month Β· β±οΈ 15.12.2020):
```
pip install petastorm
```
DeepSpeed (π₯23 Β· β 4K) - DeepSpeed is a deep learning optimization library that makes.. MIT
+DeepSpeed (π₯23 Β· β 4.2K) - DeepSpeed is a deep learning optimization library that makes.. MIT
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 39 Β· π 360 Β· π¦ 8 Β· π 270 - 43% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 41 Β· π 380 Β· π¦ 9 Β· π 280 - 43% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/microsoft/DeepSpeed
@@ -5801,63 +5867,75 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install deepspeed
```
-- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 6.8K Β· β 2 Β· β±οΈ 20.11.2020):
+- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 6.9K Β· β 2 Β· β±οΈ 20.11.2020):
```
docker pull deepspeed/deepspeed
```
MMLSpark (π₯23 Β· β 2.2K) - Microsoft Machine Learning for Apache Spark. MIT
-- [GitHub](https://github.com/Azure/mmlspark) (π¨βπ» 61 Β· π 490 Β· π 410 - 48% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Azure/mmlspark) (π¨βπ» 61 Β· π 490 Β· π 410 - 48% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/Azure/mmlspark
```
-- [PyPi](https://pypi.org/project/mmlspark) (π₯ 30K / month Β· β±οΈ 18.03.2020):
+- [PyPi](https://pypi.org/project/mmlspark) (π₯ 32K / month Β· β±οΈ 18.03.2020):
```
pip install mmlspark
```
analytics-zoo (π₯22 Β· β 2.2K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
-- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 81 Β· π 630 Β· π¦ 2 Β· π 940 - 45% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 81 Β· π 630 Β· π¦ 2 Β· π 950 - 44% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 640 / month Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 570 / month Β· β±οΈ 20.01.2021):
```
pip install analytics-zoo
```
FairScale (π₯20 Β· β 730 Β· π£) - PyTorch extensions for high performance and large scale.. BSD-3
+
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 20 Β· π 48 Β· π¦ 3 Β· π 89 - 33% open Β· β±οΈ 28.01.2021):
+
+ ```
+ git clone https://github.com/facebookresearch/fairscale
+ ```
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 1.9K / month Β· β±οΈ 07.01.2021):
+ ```
+ pip install fairscale
+ ```
+Submit it (π₯20 Β· β 300) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 9 Β· π 17 Β· π¦ 76 Β· π 24 - 41% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 9 Β· π 19 Β· π¦ 77 Β· π 26 - 38% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 2.1K / month Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 2K / month Β· β±οΈ 01.12.2020):
```
pip install submitit
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 810 Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 840 Β· β±οΈ 19.11.2020):
```
conda install -c conda-forge submitit
```
BytePS (π₯19 Β· β 2.7K) - A high performance and generic framework for distributed DNN training. Apache-2
-- [GitHub](https://github.com/bytedance/byteps) (π¨βπ» 16 Β· π 360 Β· π 210 - 33% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/bytedance/byteps) (π¨βπ» 16 Β· π 360 Β· π 210 - 34% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/bytedance/byteps
```
-- [PyPi](https://pypi.org/project/byteps) (π₯ 57 / month Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/byteps) (π₯ 54 / month Β· β±οΈ 04.11.2020):
```
pip install byteps
```
-- [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (π₯ 970 Β· β±οΈ 03.03.2020):
+- [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (π₯ 990 Β· β±οΈ 03.03.2020):
```
docker pull bytepsimage/tensorflow
```
@@ -5878,18 +5956,6 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
docker pull apache/singa
```
FairScale (π₯19 Β· β 700 Β· π£) - PyTorch extensions for high performance and large scale.. BSD-3
-
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 19 Β· π 46 Β· π¦ 2 Β· π 86 - 32% open Β· β±οΈ 21.01.2021):
-
- ```
- git clone https://github.com/facebookresearch/fairscale
- ```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 1.7K / month Β· β±οΈ 07.01.2021):
- ```
- pip install fairscale
- ```
-sk-dist (π₯18 Β· β 250) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
- [GitHub](https://github.com/Ibotta/sk-dist) (π¨βπ» 6 Β· π 42 Β· π¦ 6 Β· π 16 - 43% open Β· β±οΈ 07.01.2021):
@@ -5897,42 +5963,42 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/Ibotta/sk-dist
```
-- [PyPi](https://pypi.org/project/sk-dist) (π₯ 3.3K / month Β· π¦ 2 Β· β±οΈ 14.05.2020):
+- [PyPi](https://pypi.org/project/sk-dist) (π₯ 3.4K / month Β· π¦ 2 Β· β±οΈ 14.05.2020):
```
pip install sk-dist
```
Fiber (π₯17 Β· β 840) - Distributed Computing for AI Made Simple. Apache-2
-- [GitHub](https://github.com/uber/fiber) (π¨βπ» 5 Β· π 89 Β· π¦ 17 Β· π 18 - 72% open Β· β±οΈ 06.10.2020):
+- [GitHub](https://github.com/uber/fiber) (π¨βπ» 5 Β· π 89 Β· π¦ 18 Β· π 18 - 72% open Β· β±οΈ 06.10.2020):
```
git clone https://github.com/uber/fiber
```
-- [PyPi](https://pypi.org/project/fiber) (π₯ 880 / month Β· π¦ 1 Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/fiber) (π₯ 770 / month Β· π¦ 1 Β· β±οΈ 09.07.2020):
```
pip install fiber
```
somoclu (π₯17 Β· β 220) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT
-- [GitHub](https://github.com/peterwittek/somoclu) (π¨βπ» 17 Β· π 56 Β· π₯ 1.4K Β· π 130 - 19% open Β· β±οΈ 24.07.2020):
+- [GitHub](https://github.com/peterwittek/somoclu) (π¨βπ» 17 Β· π 56 Β· π₯ 1.4K Β· π 130 - 20% open Β· β±οΈ 24.07.2020):
```
git clone https://github.com/peterwittek/somoclu
```
-- [PyPi](https://pypi.org/project/somoclu) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 25.04.2020):
+- [PyPi](https://pypi.org/project/somoclu) (π₯ 670 / month Β· π¦ 2 Β· β±οΈ 25.04.2020):
```
pip install somoclu
```
-- [Conda](https://anaconda.org/conda-forge/somoclu) (π₯ 39K Β· β±οΈ 13.10.2020):
+- [Conda](https://anaconda.org/conda-forge/somoclu) (π₯ 40K Β· β±οΈ 13.10.2020):
```
conda install -c conda-forge somoclu
```
Hivemind (π₯16 Β· β 640) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 8 Β· π 30 Β· π¦ 1 Β· π 32 - 46% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 8 Β· π 32 Β· π¦ 1 Β· π 32 - 46% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/learning-at-home/hivemind
@@ -5944,7 +6010,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 3 hidden projects...
-- DEAP (π₯28 Β· β 4K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
+- DEAP (π₯28 Β· β 4.1K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
- TensorFrames (π₯19 Β· β 770 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 Apache-2
Optuna (π₯31 Β· β 3.9K) - A hyperparameter optimization framework. MIT
+Optuna (π₯31 Β· β 4K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 120 Β· π 450 Β· π¦ 880 Β· π 660 - 28% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 120 Β· π 450 Β· π¦ 910 Β· π 660 - 28% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 150K / month Β· π¦ 52 Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 140K / month Β· π¦ 52 Β· β±οΈ 04.11.2020):
```
pip install optuna
```
@@ -5974,12 +6040,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (π₯30 Β· β 5.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 84 Β· π 840 Β· π¦ 2.5K Β· π 550 - 59% open Β· β±οΈ 24.12.2020):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 84 Β· π 860 Β· π¦ 2.6K Β· π 550 - 59% open Β· β±οΈ 24.12.2020):
```
git clone https://github.com/hyperopt/hyperopt
```
-- [PyPi](https://pypi.org/project/hyperopt) (π₯ 370K / month Β· π¦ 500 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/hyperopt) (π₯ 340K / month Β· π¦ 500 Β· β±οΈ 07.10.2020):
```
pip install hyperopt
```
@@ -5988,14 +6054,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge hyperopt
```
scikit-optimize (π₯30 Β· β 2K Β· π) - Sequential model-based optimization with a.. BSD-3
+scikit-optimize (π₯30 Β· β 2K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3
- [GitHub](https://github.com/scikit-optimize/scikit-optimize) (π¨βπ» 68 Β· π 370 Β· π¦ 1.3K Β· π 520 - 31% open Β· β±οΈ 31.12.2020):
```
git clone https://github.com/scikit-optimize/scikit-optimize
```
-- [PyPi](https://pypi.org/project/scikit-optimize) (π₯ 430K / month Β· π¦ 160 Β· β±οΈ 04.09.2020):
+- [PyPi](https://pypi.org/project/scikit-optimize) (π₯ 370K / month Β· π¦ 160 Β· β±οΈ 04.09.2020):
```
pip install scikit-optimize
```
@@ -6006,124 +6072,112 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (π₯28 Β· β 2.2K) - Hyperparameter tuning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 28 Β· π 260 Β· π¦ 360 Β· π 280 - 51% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 28 Β· π 260 Β· π¦ 380 Β· π 280 - 51% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 200K / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 180K / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
```
pip install keras-tuner
```
NNI (π₯27 Β· β 8.7K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
+NNI (π₯27 Β· β 8.9K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
-- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 120 Β· π 1.1K Β· π¦ 79 Β· π 1.1K - 21% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 120 Β· π 1.2K Β· π¦ 83 Β· π 1.1K - 22% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/microsoft/nni
```
-- [PyPi](https://pypi.org/project/nni) (π₯ 1.7K / month Β· π¦ 16 Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/nni) (π₯ 1.5K / month Β· π¦ 16 Β· β±οΈ 14.01.2021):
```
pip install nni
```
AutoKeras (π₯27 Β· β 7.7K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 130 Β· π 1.2K Β· π¦ 140 Β· π 720 - 8% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 130 Β· π 1.2K Β· π¦ 140 Β· π 720 - 8% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 4.6K / month Β· π¦ 7 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 4K / month Β· π¦ 7 Β· β±οΈ 30.11.2020):
```
pip install autokeras
```
featuretools (π₯27 Β· β 5.3K Β· π) - An open source python library for automated feature.. BSD-3
+featuretools (π₯27 Β· β 5.4K) - An open source python library for automated feature engineering. BSD-3
-- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 49 Β· π 690 Β· π¦ 660 Β· π 500 - 22% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 49 Β· π 700 Β· π¦ 660 Β· π 500 - 22% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 56K / month Β· π¦ 70 Β· β±οΈ 31.12.2020):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 51K / month Β· π¦ 70 Β· β±οΈ 31.12.2020):
```
pip install featuretools
```
-- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 43K Β· β±οΈ 05.01.2021):
+- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 44K Β· β±οΈ 05.01.2021):
```
conda install -c conda-forge featuretools
```
auto-sklearn (π₯26 Β· β 5.2K) - Automated Machine Learning with scikit-learn. BSD-3
-- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 63 Β· π 970 Β· π¦ 130 Β· π 680 - 17% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 63 Β· π 970 Β· π¦ 130 Β· π 680 - 17% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/automl/auto-sklearn
```
-- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 6.3K / month Β· π¦ 30 Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 3.7K / month Β· π¦ 30 Β· β±οΈ 04.01.2021):
```
pip install auto-sklearn
```
Bayesian Optimization (π₯26 Β· β 4.8K) - A Python implementation of global optimization with.. MIT
-- [GitHub](https://github.com/fmfn/BayesianOptimization) (π¨βπ» 27 Β· π 1.1K Β· π₯ 46 Β· π¦ 570 Β· π 200 - 17% open Β· β±οΈ 19.12.2020):
+- [GitHub](https://github.com/fmfn/BayesianOptimization) (π¨βπ» 27 Β· π 1.1K Β· π₯ 47 Β· π¦ 580 Β· π 200 - 17% open Β· β±οΈ 19.12.2020):
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 46K / month Β· π¦ 92 Β· β±οΈ 16.05.2020):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 42K / month Β· π¦ 92 Β· β±οΈ 16.05.2020):
```
pip install bayesian-optimization
```
AutoGluon (π₯26 Β· β 2.9K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2
-- [GitHub](https://github.com/awslabs/autogluon) (π¨βπ» 50 Β· π 380 Β· π¦ 44 Β· π 370 - 41% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/awslabs/autogluon) (π¨βπ» 50 Β· π 380 Β· π¦ 44 Β· π 370 - 41% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/awslabs/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 19K / month Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 12K / month Β· β±οΈ 27.01.2021):
```
pip install autogluon
```
BoTorch (π₯26 Β· β 1.8K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 50 Β· π 170 Β· π¦ 74 Β· π 150 - 26% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 50 Β· π 170 Β· π¦ 74 Β· π 150 - 26% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 24K / month Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 22K / month Β· β±οΈ 08.12.2020):
```
pip install botorch
```
SMAC3 (π₯26 Β· β 550) - Sequential Model-based Algorithm Configuration. BSD-3
-
-- [GitHub](https://github.com/automl/SMAC3) (π¨βπ» 30 Β· π 150 Β· π 330 - 23% open Β· β±οΈ 29.10.2020):
-
- ```
- git clone https://github.com/automl/SMAC3
- ```
-- [PyPi](https://pypi.org/project/smac) (π₯ 8.5K / month Β· π¦ 58 Β· β±οΈ 29.10.2020):
- ```
- pip install smac
- ```
-nevergrad (π₯25 Β· β 2.8K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 42 Β· π 270 Β· π¦ 120 Β· π 200 - 40% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 42 Β· π 270 Β· π¦ 120 Β· π 200 - 40% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 6.8K / month Β· π¦ 14 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 7K / month Β· π¦ 14 Β· β±οΈ 19.01.2021):
```
pip install nevergrad
```
@@ -6134,7 +6188,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯25 Β· β 1.4K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 91 Β· π 140 Β· π¦ 120 Β· π 210 - 16% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 91 Β· π 140 Β· π¦ 120 Β· π 210 - 16% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebook/Ax
@@ -6144,6 +6198,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install ax-platform
```
SMAC3 (π₯25 Β· β 560) - Sequential Model-based Algorithm Configuration. BSD-3
+
+- [GitHub](https://github.com/automl/SMAC3) (π¨βπ» 30 Β· π 150 Β· π 330 - 23% open Β· β±οΈ 29.10.2020):
+
+ ```
+ git clone https://github.com/automl/SMAC3
+ ```
+- [PyPi](https://pypi.org/project/smac) (π₯ 6.1K / month Β· π¦ 58 Β· β±οΈ 29.10.2020):
+ ```
+ pip install smac
+ ```
+Hyperas (π₯24 Β· β 2.1K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT
- [GitHub](https://github.com/maxpumperla/hyperas) (π¨βπ» 21 Β· π 300 Β· π 250 - 35% open Β· β±οΈ 22.12.2020):
@@ -6151,38 +6217,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/maxpumperla/hyperas
```
-- [PyPi](https://pypi.org/project/hyperas) (π₯ 12K / month Β· π¦ 21 Β· β±οΈ 28.02.2019):
+- [PyPi](https://pypi.org/project/hyperas) (π₯ 11K / month Β· π¦ 21 Β· β±οΈ 28.02.2019):
```
pip install hyperas
```
GPyOpt (π₯24 Β· β 700) - Gaussian Process Optimization using GPy. BSD-3
+GPyOpt (π₯24 Β· β 710) - Gaussian Process Optimization using GPy. BSD-3
- [GitHub](https://github.com/SheffieldML/GPyOpt) (π¨βπ» 49 Β· π 220 Β· π¦ 170 Β· π 290 - 34% open Β· β±οΈ 05.11.2020):
```
git clone https://github.com/SheffieldML/GPyOpt
```
-- [PyPi](https://pypi.org/project/gpyopt) (π₯ 4.2K / month Β· π¦ 36 Β· β±οΈ 19.03.2020):
+- [PyPi](https://pypi.org/project/gpyopt) (π₯ 4.3K / month Β· π¦ 36 Β· β±οΈ 19.03.2020):
```
pip install gpyopt
```
Talos (π₯22 Β· β 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
+Talos (π₯22 Β· β 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
- [GitHub](https://github.com/autonomio/talos) (π¨βπ» 19 Β· π 220 Β· π¦ 110 Β· π 380 - 10% open Β· β±οΈ 21.11.2020):
```
git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/talos) (π₯ 970 / month Β· π¦ 6 Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/talos) (π₯ 1K / month Β· π¦ 6 Β· β±οΈ 09.11.2020):
```
pip install talos
```
Orion (π₯22 Β· β 180) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
+Orion (π₯22 Β· β 180) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
-- [GitHub](https://github.com/Epistimio/orion) (π¨βπ» 18 Β· π 35 Β· π¦ 39 Β· π 120 - 16% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Epistimio/orion) (π¨βπ» 18 Β· π 35 Β· π¦ 39 Β· π 120 - 16% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/Epistimio/orion
@@ -6199,7 +6265,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/tensorflow/adanet
```
-- [PyPi](https://pypi.org/project/adanet) (π₯ 670 / month Β· π¦ 2 Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/adanet) (π₯ 510 / month Β· π¦ 2 Β· β±οΈ 09.07.2020):
```
pip install adanet
```
@@ -6211,43 +6277,43 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/claesenm/optunity
```
-- [PyPi](https://pypi.org/project/optunity) (π₯ 10K / month Β· π¦ 7 Β· β±οΈ 30.09.2015):
+- [PyPi](https://pypi.org/project/optunity) (π₯ 8.6K / month Β· π¦ 7 Β· β±οΈ 30.09.2015):
```
pip install optunity
```
Neuraxle (π₯21 Β· β 360) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2
-- [GitHub](https://github.com/Neuraxio/Neuraxle) (π¨βπ» 7 Β· π 39 Β· π¦ 17 Β· π 250 - 47% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/Neuraxio/Neuraxle) (π¨βπ» 7 Β· π 39 Β· π¦ 17 Β· π 250 - 48% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/Neuraxio/Neuraxle
```
-- [PyPi](https://pypi.org/project/neuraxle) (π₯ 330 / month Β· β±οΈ 20.09.2020):
+- [PyPi](https://pypi.org/project/neuraxle) (π₯ 270 / month Β· β±οΈ 20.09.2020):
```
pip install neuraxle
```
mljar-supervised (π₯20 Β· β 740) - Automates Machine Learning Pipeline with Feature Engineering.. MIT
+mljar-supervised (π₯20 Β· β 750) - Automates Machine Learning Pipeline with Feature Engineering.. MIT
-- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 7 Β· π 97 Β· π¦ 9 Β· π 280 - 17% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 7 Β· π 97 Β· π¦ 9 Β· π 280 - 17% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 2.9K / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 3.2K / month Β· β±οΈ 27.01.2021):
```
pip install mljar-supervised
```
Test Tube (π₯20 Β· β 650 Β· π€) - Python library to easily log experiments and parallelize.. MIT
-- [GitHub](https://github.com/williamFalcon/test-tube) (π¨βπ» 16 Β· π 59 Β· π₯ 7 Β· π 44 - 52% open Β· β±οΈ 17.03.2020):
+- [GitHub](https://github.com/williamFalcon/test-tube) (π¨βπ» 16 Β· π 59 Β· π₯ 8 Β· π 44 - 52% open Β· β±οΈ 17.03.2020):
```
git clone https://github.com/williamFalcon/test-tube
```
-- [PyPi](https://pypi.org/project/test_tube) (π₯ 9.2K / month Β· π¦ 5 Β· β±οΈ 12.12.2018):
+- [PyPi](https://pypi.org/project/test_tube) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 12.12.2018):
```
pip install test_tube
```
@@ -6259,19 +6325,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 510 / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 200 / month Β· β±οΈ 15.01.2021):
```
pip install autoviml
```
lazypredict (π₯19 Β· β 340) - Lazy Predict help build a lot of basic models without much code.. MIT
+lazypredict (π₯19 Β· β 360) - Lazy Predict help build a lot of basic models without much code.. MIT
-- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 8 Β· π 77 Β· π¦ 17 Β· π 64 - 65% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 10 Β· π 82 Β· π¦ 18 Β· π 66 - 63% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 1.3K / month Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 1.5K / month Β· β±οΈ 09.07.2020):
```
pip install lazypredict
```
@@ -6283,7 +6349,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/dragonfly/dragonfly
```
-- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 2.7K / month Β· π¦ 2 Β· β±οΈ 03.07.2020):
+- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 2.9K / month Β· π¦ 2 Β· β±οΈ 03.07.2020):
```
pip install dragonfly-opt
```
@@ -6295,19 +6361,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/HunterMcGushion/hyperparameter_hunter
```
-- [PyPi](https://pypi.org/project/hyperparameter-hunter) (π₯ 50 / month Β· π¦ 1 Β· β±οΈ 06.08.2019):
+- [PyPi](https://pypi.org/project/hyperparameter-hunter) (π₯ 43 / month Β· π¦ 1 Β· β±οΈ 06.08.2019):
```
pip install hyperparameter-hunter
```
AlphaPy (π₯16 Β· β 540) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
-- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 3 Β· π 110 Β· π¦ 2 Β· π 39 - 25% open Β· β±οΈ 06.09.2020):
+- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 3 Β· π 120 Β· π¦ 2 Β· π 39 - 25% open Β· β±οΈ 06.09.2020):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 85 / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 76 / month Β· β±οΈ 25.08.2020):
```
pip install alphapy
```
@@ -6319,7 +6385,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/HDI-Project/ATM
```
-- [PyPi](https://pypi.org/project/atm) (π₯ 39 / month Β· β±οΈ 24.06.2019):
+- [PyPi](https://pypi.org/project/atm) (π₯ 34 / month Β· β±οΈ 24.06.2019):
```
pip install atm
```
@@ -6338,7 +6404,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
ENAS (π₯14 Β· β 2.4K Β· π€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
-- [GitHub](https://github.com/carpedm20/ENAS-pytorch) (π¨βπ» 6 Β· π 440 Β· π 44 - 84% open Β· β±οΈ 16.06.2020):
+- [GitHub](https://github.com/carpedm20/ENAS-pytorch) (π¨βπ» 6 Β· π 450 Β· π 44 - 84% open Β· β±οΈ 16.06.2020):
```
git clone https://github.com/carpedm20/ENAS-pytorch
@@ -6354,18 +6420,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Show 13 hidden projects...
-- TPOT (π₯29 Β· β 7.8K Β· π) - A Python Automated Machine Learning tool that optimizes.. βοΈLGPL-3.0 βοΈBSD-1-Clause
+- TPOT (π₯29 Β· β 7.8K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0 βοΈBSD-1-Clause
- auto_ml (π₯21 Β· β 1.5K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
- HpBandSter (π₯19 Β· β 440 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
- Advisor (π₯17 Β· β 1.3K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- sklearn-deap (π₯17 Β· β 620 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT βοΈGPL-3.0
+- automl-gs (π₯16 Β· β 1.7K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
- Xcessiv (π₯16 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
-- automl-gs (π₯15 Β· β 1.7K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
- Auptimizer (π₯13 Β· β 160) - An automatic ML model optimization tool. βοΈGPL-3.0
- Hypermax (π₯13 Β· β 95) - Better, faster hyper-parameter optimization. BSD-3
-- featurewiz (π₯12 Β· β 17 Β· π£) - Use advanced feature engineering strategies and select the.. Apache-2
+- featurewiz (π₯12 Β· β 19 Β· π£) - Use advanced feature engineering strategies and select the.. Apache-2
- Hypertunity (π₯10 Β· β 120 Β· π€) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -6378,12 +6444,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
OpenAI Gym (π₯35 Β· β 23K) - A toolkit for developing and comparing reinforcement learning.. MIT
-- [GitHub](https://github.com/openai/gym) (π¨βπ» 270 Β· π 6.6K Β· π¦ 17K Β· π 1.3K - 18% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/openai/gym) (π¨βπ» 270 Β· π 6.6K Β· π¦ 18K Β· π 1.3K - 18% open Β· β±οΈ 11.01.2021):
```
git clone https://github.com/openai/gym
```
-- [PyPi](https://pypi.org/project/gym) (π₯ 280K / month Β· π¦ 3.6K Β· β±οΈ 19.12.2020):
+- [PyPi](https://pypi.org/project/gym) (π₯ 260K / month Β· π¦ 3.6K Β· β±οΈ 19.12.2020):
```
pip install gym
```
@@ -6395,139 +6461,139 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/openai/baselines
```
-- [PyPi](https://pypi.org/project/baselines) (π₯ 28K / month Β· π¦ 37 Β· β±οΈ 26.02.2018):
+- [PyPi](https://pypi.org/project/baselines) (π₯ 27K / month Β· π¦ 37 Β· β±οΈ 26.02.2018):
```
pip install baselines
```
TensorLayer (π₯27 Β· β 6.5K) - Deep Learning and Reinforcement Learning Library for.. Apache-2
-- [GitHub](https://github.com/tensorlayer/tensorlayer) (π¨βπ» 130 Β· π 1.4K Β· π₯ 1.2K Β· π 480 - 9% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/tensorlayer/tensorlayer) (π¨βπ» 130 Β· π 1.4K Β· π₯ 1.2K Β· π 480 - 9% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorlayer/tensorlayer
```
-- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 2.2K / month Β· π¦ 68 Β· β±οΈ 19.06.2020):
+- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.7K / month Β· π¦ 68 Β· β±οΈ 19.06.2020):
```
pip install tensorlayer
```
TF-Agents (π₯27 Β· β 1.8K) - TF-Agents is a library for Reinforcement Learning in.. Apache-2
-- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 84 Β· π 450 Β· π¦ 360 Β· π 410 - 24% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 85 Β· π 450 Β· π¦ 360 Β· π 410 - 23% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 7.3K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 7.1K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
```
pip install tf-agents
```
Dopamine (π₯26 Β· β 9.3K) - Dopamine is a research framework for fast prototyping of.. Apache-2
-- [GitHub](https://github.com/google/dopamine) (π¨βπ» 13 Β· π 1.2K Β· π 140 - 51% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/google/dopamine) (π¨βπ» 13 Β· π 1.2K Β· π 140 - 50% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/google/dopamine
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 52K / month Β· π¦ 31 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 47K / month Β· π¦ 31 Β· β±οΈ 16.10.2020):
```
pip install dopamine-rl
```
ViZDoom (π₯25 Β· β 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT
+Stable Baselines (π₯25 Β· β 2.8K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
-- [GitHub](https://github.com/mwydmuch/ViZDoom) (π¨βπ» 43 Β· π 280 Β· π₯ 10K Β· π¦ 100 Β· π 420 - 21% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/hill-a/stable-baselines) (π¨βπ» 110 Β· π 570 Β· π 850 - 15% open Β· β±οΈ 23.12.2020):
```
- git clone https://github.com/mwydmuch/ViZDoom
+ git clone https://github.com/hill-a/stable-baselines
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 380 / month Β· π¦ 12 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/stable-baselines) (π₯ 6.2K / month Β· π¦ 50 Β· β±οΈ 05.08.2020):
```
- pip install vizdoom
+ pip install stable-baselines
```
TensorForce (π₯24 Β· β 2.8K) - Tensorforce: a TensorFlow library for applied.. Apache-2
+ViZDoom (π₯25 Β· β 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT
-- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 76 Β· π 470 Β· π 550 - 1% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/mwydmuch/ViZDoom) (π¨βπ» 44 Β· π 280 Β· π₯ 10K Β· π¦ 100 Β· π 420 - 20% open Β· β±οΈ 25.01.2021):
```
- git clone https://github.com/tensorforce/tensorforce
+ git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 680 / month Β· π¦ 23 Β· β±οΈ 07.09.2019):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 320 / month Β· π¦ 12 Β· β±οΈ 29.10.2020):
```
- pip install tensorforce
+ pip install vizdoom
```
Stable Baselines (π₯24 Β· β 2.8K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
+TensorForce (π₯24 Β· β 2.8K) - Tensorforce: a TensorFlow library for applied.. Apache-2
-- [GitHub](https://github.com/hill-a/stable-baselines) (π¨βπ» 110 Β· π 560 Β· π 840 - 14% open Β· β±οΈ 23.12.2020):
+- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 76 Β· π 470 Β· π 550 - 1% open Β· β±οΈ 21.01.2021):
```
- git clone https://github.com/hill-a/stable-baselines
+ git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/stable-baselines) (π₯ 7.4K / month Β· π¦ 25 Β· β±οΈ 05.08.2020):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 660 / month Β· π¦ 23 Β· β±οΈ 07.09.2019):
```
- pip install stable-baselines
+ pip install tensorforce
```
Acme (π₯23 Β· β 1.9K) - A library of reinforcement learning components and agents. Apache-2
-- [GitHub](https://github.com/deepmind/acme) (π¨βπ» 29 Β· π 180 Β· π¦ 18 Β· π 81 - 45% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/deepmind/acme) (π¨βπ» 30 Β· π 180 Β· π¦ 19 Β· π 81 - 45% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 540 / month Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 470 / month Β· β±οΈ 24.07.2020):
```
pip install dm-acme
```
garage (π₯23 Β· β 1K) - A toolkit for reproducible reinforcement learning research. MIT
+ChainerRL (π₯23 Β· β 920) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
-- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 73 Β· π 190 Β· π¦ 13 Β· π 950 - 19% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/chainer/chainerrl) (π¨βπ» 29 Β· π 210 Β· π¦ 89 Β· π 220 - 33% open Β· β±οΈ 09.12.2020):
```
- git clone https://github.com/rlworkgroup/garage
+ git clone https://github.com/chainer/chainerrl
```
-- [PyPi](https://pypi.org/project/garage) (π₯ 190 / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/chainerrl) (π₯ 420 / month Β· π¦ 14 Β· β±οΈ 14.02.2020):
```
- pip install garage
+ pip install chainerrl
```
ChainerRL (π₯23 Β· β 920) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
+garage (π₯22 Β· β 1K) - A toolkit for reproducible reinforcement learning research. MIT
-- [GitHub](https://github.com/chainer/chainerrl) (π¨βπ» 29 Β· π 210 Β· π¦ 88 Β· π 220 - 33% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 73 Β· π 190 Β· π¦ 13 Β· π 960 - 19% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/chainer/chainerrl
+ git clone https://github.com/rlworkgroup/garage
```
-- [PyPi](https://pypi.org/project/chainerrl) (π₯ 500 / month Β· π¦ 14 Β· β±οΈ 14.02.2020):
+- [PyPi](https://pypi.org/project/garage) (π₯ 150 / month Β· β±οΈ 02.10.2020):
```
- pip install chainerrl
+ pip install garage
```
PARL (π₯21 Β· β 1.8K) - A high-performance distributed training framework for Reinforcement.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 21 Β· π 410 Β· π¦ 65 Β· π 200 - 26% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 21 Β· π 420 Β· π¦ 65 Β· π 200 - 26% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 280 / month Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/parl) (π₯ 230 / month Β· β±οΈ 08.01.2021):
```
pip install parl
```
TRFL (π₯20 Β· β 3.1K Β· π€) - TensorFlow Reinforcement Learning. Apache-2
-- [GitHub](https://github.com/deepmind/trfl) (π¨βπ» 12 Β· π 370 Β· π¦ 36 Β· π 22 - 27% open Β· β±οΈ 20.04.2020):
+- [GitHub](https://github.com/deepmind/trfl) (π¨βπ» 12 Β· π 370 Β· π¦ 37 Β· π 22 - 27% open Β· β±οΈ 20.04.2020):
```
git clone https://github.com/deepmind/trfl
```
-- [PyPi](https://pypi.org/project/trfl) (π₯ 640 / month Β· π¦ 2 Β· β±οΈ 20.04.2020):
+- [PyPi](https://pypi.org/project/trfl) (π₯ 600 / month Β· π¦ 2 Β· β±οΈ 20.04.2020):
```
pip install trfl
```
@@ -6539,26 +6605,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/IntelLabs/coach
```
-- [PyPi](https://pypi.org/project/rl_coach) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/rl_coach) (π₯ 110 / month Β· π¦ 1 Β· β±οΈ 10.10.2019):
```
pip install rl_coach
```
PFRL (π₯19 Β· β 500) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
-- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 10 Β· π 60 Β· π¦ 4 Β· π 43 - 51% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 11 Β· π 61 Β· π¦ 4 Β· π 44 - 50% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 370 / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 340 / month Β· β±οΈ 17.12.2020):
```
pip install pfrl
```
RLax (π₯17 Β· β 540) - A library of reinforcement learning building blocks in JAX. Apache-2 jax
-- [GitHub](https://github.com/deepmind/rlax) (π¨βπ» 10 Β· π 40 Β· π¦ 10 Β· π 6 - 50% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/deepmind/rlax) (π¨βπ» 10 Β· π 40 Β· π¦ 11 Β· π 6 - 50% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/deepmind/rlax
@@ -6570,7 +6636,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
ReAgent (π₯16 Β· β 2.8K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 86 Β· π 370 Β· π 94 - 21% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 86 Β· π 370 Β· π 94 - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/facebookresearch/ReAgent
@@ -6578,7 +6644,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 2 hidden projects...
-- keras-rl (π₯26 Β· β 4.9K Β· π) - Deep Reinforcement Learning for Keras. MIT MIT βοΈGPL-2.0
@@ -6591,12 +6657,12 @@ _Libraries for building and evaluating recommendation systems._
implicit (π₯28 Β· β 2.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
-- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 28 Β· π 450 Β· π¦ 350 Β· π 330 - 23% open Β· β±οΈ 15.11.2020):
+- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 28 Β· π 450 Β· π¦ 360 Β· π 340 - 23% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 92K / month Β· π¦ 22 Β· β±οΈ 15.09.2020):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 77K / month Β· π¦ 22 Β· β±οΈ 15.09.2020):
```
pip install implicit
```
@@ -6607,28 +6673,28 @@ _Libraries for building and evaluating recommendation systems._
lightfm (π₯27 Β· β 3.5K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
-- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 42 Β· π 560 Β· π¦ 380 Β· π 400 - 31% open Β· β±οΈ 27.11.2020):
+- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 42 Β· π 560 Β· π¦ 380 Β· π 460 - 27% open Β· β±οΈ 27.11.2020):
```
git clone https://github.com/lyst/lightfm
```
-- [PyPi](https://pypi.org/project/lightfm) (π₯ 86K / month Β· π¦ 28 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/lightfm) (π₯ 72K / month Β· π¦ 28 Β· β±οΈ 27.11.2020):
```
pip install lightfm
```
-- [Conda](https://anaconda.org/conda-forge/lightfm) (π₯ 72K Β· β±οΈ 07.12.2020):
+- [Conda](https://anaconda.org/conda-forge/lightfm) (π₯ 73K Β· β±οΈ 07.12.2020):
```
conda install -c conda-forge lightfm
```
scikit-surprise (π₯26 Β· β 4.6K) - A Python scikit for building and analyzing recommender.. BSD-3
+scikit-surprise (π₯26 Β· β 4.7K) - A Python scikit for building and analyzing recommender.. BSD-3
-- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 38 Β· π 820 Β· π¦ 870 Β· π 320 - 10% open Β· β±οΈ 05.08.2020):
+- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 38 Β· π 820 Β· π¦ 880 Β· π 320 - 10% open Β· β±οΈ 05.08.2020):
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 35K / month Β· π¦ 24 Β· β±οΈ 19.07.2020):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 31K / month Β· π¦ 24 Β· β±οΈ 19.07.2020):
```
pip install scikit-surprise
```
@@ -6639,35 +6705,35 @@ _Libraries for building and evaluating recommendation systems._
TF Ranking (π₯22 Β· β 2K) - Learning to Rank in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 17 Β· π 360 Β· π 220 - 10% open Β· β±οΈ 19.08.2020):
+- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 17 Β· π 360 Β· π 220 - 9% open Β· β±οΈ 19.08.2020):
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 18K / month Β· π¦ 1 Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 19.08.2020):
```
pip install tensorflow_ranking
```
Cornac (π₯22 Β· β 300) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 11 Β· π 55 Β· π¦ 26 Β· π 29 - 3% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 11 Β· π 55 Β· π¦ 26 Β· π 29 - 3% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 700 / month Β· π¦ 1 Β· β±οΈ 28.12.2020):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 740 / month Β· π¦ 1 Β· β±οΈ 28.12.2020):
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 98K Β· β±οΈ 04.01.2021):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 99K Β· β±οΈ 04.01.2021):
```
conda install -c conda-forge cornac
```
Recommenders (π₯21 Β· β 9K) - Best Practices on Recommendation Systems. MIT
+Recommenders (π₯21 Β· β 9.1K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/microsoft/recommenders) (π¨βπ» 88 Β· π 1.6K Β· π¦ 1 Β· π 540 - 20% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/microsoft/recommenders) (π¨βπ» 88 Β· π 1.6K Β· π¦ 1 Β· π 540 - 19% open Β· β±οΈ 04.01.2021):
```
git clone https://github.com/microsoft/recommenders
@@ -6675,7 +6741,7 @@ _Libraries for building and evaluating recommendation systems._
tensorrec (π₯20 Β· β 1.1K Β· π€) - A TensorFlow recommendation algorithm and framework in.. Apache-2
-- [GitHub](https://github.com/jfkirk/tensorrec) (π¨βπ» 8 Β· π 200 Β· π¦ 23 Β· π 120 - 26% open Β· β±οΈ 04.02.2020):
+- [GitHub](https://github.com/jfkirk/tensorrec) (π¨βπ» 8 Β· π 200 Β· π¦ 24 Β· π 120 - 26% open Β· β±οΈ 04.02.2020):
```
git clone https://github.com/jfkirk/tensorrec
@@ -6692,47 +6758,47 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/ibayer/fastFM
```
-- [PyPi](https://pypi.org/project/fastfm) (π₯ 420 / month Β· π¦ 4 Β· β±οΈ 23.11.2017):
+- [PyPi](https://pypi.org/project/fastfm) (π₯ 360 / month Β· π¦ 4 Β· β±οΈ 23.11.2017):
```
pip install fastfm
```
RecBole (π₯20 Β· β 720) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 27 Β· π 100 Β· π 78 - 30% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 27 Β· π 100 Β· π 79 - 30% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 110 / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 98 / month Β· β±οΈ 14.01.2021):
```
pip install recbole
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 180 Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 190 Β· β±οΈ 14.01.2021):
```
conda install -c aibox recbole
```
TF Recommenders (π₯19 Β· β 700) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 17 Β· π 73 Β· π¦ 11 Β· π 82 - 41% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 17 Β· π 73 Β· π¦ 11 Β· π 84 - 40% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 3.3K / month Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 2.7K / month Β· β±οΈ 21.01.2021):
```
pip install tensorflow-recommenders
```
recmetrics (π₯19 Β· β 230) - A library of metrics for evaluating recommender systems. MIT
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 12 Β· π 53 Β· π¦ 16 Β· π 14 - 50% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 12 Β· π 52 Β· π¦ 16 Β· π 14 - 50% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/statisticianinstilettos/recmetrics
```
-- [PyPi](https://pypi.org/project/recmetrics) (π₯ 700 / month Β· β±οΈ 10.02.2019):
+- [PyPi](https://pypi.org/project/recmetrics) (π₯ 790 / month Β· β±οΈ 10.02.2019):
```
pip install recmetrics
```
@@ -6749,28 +6815,28 @@ _Libraries for building and evaluating recommendation systems._
conda install -c maciejkula spotlight
```
OpenRec (π₯16 Β· β 350 Β· π€) - OpenRec is an open-source and modular library for neural network-.. Apache-2
+Case Recommender (π₯16 Β· β 310 Β· π€) - Case Recommender: A Flexible and Extensible Python.. MIT
-- [GitHub](https://github.com/ylongqi/openrec) (π¨βπ» 10 Β· π 79 Β· π¦ 1 Β· π 16 - 25% open Β· β±οΈ 19.02.2020):
+- [GitHub](https://github.com/caserec/CaseRecommender) (π¨βπ» 10 Β· π 66 Β· π¦ 6 Β· π 22 - 27% open Β· β±οΈ 26.05.2020):
```
- git clone https://github.com/ylongqi/openrec
+ git clone https://github.com/caserec/CaseRecommender
```
-- [PyPi](https://pypi.org/project/openrec) (π₯ 27 / month Β· π¦ 1 Β· β±οΈ 11.09.2019):
+- [PyPi](https://pypi.org/project/caserecommender) (π₯ 67 / month Β· β±οΈ 20.08.2019):
```
- pip install openrec
+ pip install caserecommender
```
Case Recommender (π₯16 Β· β 310 Β· π€) - Case Recommender: A Flexible and Extensible Python.. MIT
+OpenRec (π₯15 Β· β 350 Β· π€) - OpenRec is an open-source and modular library for neural network-.. Apache-2
-- [GitHub](https://github.com/caserec/CaseRecommender) (π¨βπ» 10 Β· π 66 Β· π¦ 5 Β· π 22 - 27% open Β· β±οΈ 26.05.2020):
+- [GitHub](https://github.com/ylongqi/openrec) (π¨βπ» 10 Β· π 79 Β· π¦ 1 Β· π 16 - 25% open Β· β±οΈ 19.02.2020):
```
- git clone https://github.com/caserec/CaseRecommender
+ git clone https://github.com/ylongqi/openrec
```
-- [PyPi](https://pypi.org/project/caserecommender) (π₯ 39 / month Β· β±οΈ 20.08.2019):
+- [PyPi](https://pypi.org/project/openrec) (π₯ 13 / month Β· π¦ 1 Β· β±οΈ 11.09.2019):
```
- pip install caserecommender
+ pip install openrec
```
@@ -6783,48 +6849,48 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (π₯26 Β· β 6.8K) - A library for answering questions using data you cannot see. MIT
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 330 Β· π 1.5K Β· π 2.6K - 6% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 330 Β· π 1.5K Β· π 2.6K - 6% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 1.6K / month Β· π¦ 3 Β· β±οΈ 14.09.2020):
+- [PyPi](https://pypi.org/project/syft) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 14.09.2020):
```
pip install syft
```
Opacus (π₯22 Β· β 720) - Training PyTorch models with differential privacy. Apache-2
+Opacus (π₯22 Β· β 730) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 23 Β· π 90 Β· π₯ 30 Β· π¦ 11 Β· π 54 - 9% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 24 Β· π 90 Β· π₯ 30 Β· π¦ 11 Β· π 57 - 14% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 1.2K / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 1.5K / month Β· β±οΈ 17.12.2020):
```
pip install opacus
```
TensorFlow Privacy (π₯21 Β· β 1.3K) - Library for training machine learning models with.. Apache-2
-- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 35 Β· π 260 Β· π₯ 41 Β· π 120 - 34% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 35 Β· π 260 Β· π₯ 41 Β· π 120 - 35% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/tensorflow/privacy
```
-- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 4K / month Β· π¦ 1 Β· β±οΈ 03.09.2020):
+- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 3.9K / month Β· π¦ 1 Β· β±οΈ 03.09.2020):
```
pip install tensorflow-privacy
```
TFEncrypted (π₯21 Β· β 810) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
+TFEncrypted (π₯21 Β· β 820) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 28 Β· π 130 Β· π¦ 46 Β· π 400 - 41% open Β· β±οΈ 19.08.2020):
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 310 / month Β· π¦ 8 Β· β±οΈ 21.10.2019):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 340 / month Β· π¦ 8 Β· β±οΈ 21.10.2019):
```
pip install tf-encrypted
```
@@ -6837,14 +6903,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
git clone https://github.com/FederatedAI/FATE
```
CrypTen (π₯16 Β· β 690) - A framework for Privacy Preserving Machine Learning. MIT
+CrypTen (π₯16 Β· β 700) - A framework for Privacy Preserving Machine Learning. MIT
- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 23 Β· π 90 Β· π¦ 5 Β· π 46 - 32% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 68 / month Β· β±οΈ 05.02.2020):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 64 / month Β· β±οΈ 05.02.2020):
```
pip install crypten
```
@@ -6859,12 +6925,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (π₯36 Β· β 5.1K) - TensorFlow's Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 250 Β· π 1.3K Β· π¦ 52K Β· π 1.5K - 37% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 250 Β· π 1.3K Β· π¦ 53K Β· π 1.5K - 37% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 4.7M / month Β· π¦ 3.6K Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 4.2M / month Β· π¦ 3.6K Β· β±οΈ 12.11.2020):
```
pip install tensorboard
```
@@ -6873,14 +6939,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge tensorboard
```
mlflow (π₯34 Β· β 8.2K) - Open source platform for the machine learning lifecycle. Apache-2
+mlflow (π₯34 Β· β 8.3K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 280 Β· π 1.9K Β· π¦ 1.8K Β· π 1.7K - 39% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 280 Β· π 1.9K Β· π¦ 1.9K Β· π 1.7K - 39% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 2.3M / month Β· π¦ 150 Β· β±οΈ 31.12.2020):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 2.1M / month Β· π¦ 150 Β· β±οΈ 31.12.2020):
```
pip install mlflow
```
@@ -6889,54 +6955,54 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge mlflow
```
DVC (π₯30 Β· β 7.1K) - Data Version Control | Git for Data & Models. Apache-2
+DVC (π₯30 Β· β 7.2K) - Data Version Control | Git for Data & Models. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 200 Β· π 660 Β· π₯ 18K Β· π¦ 540 Β· π 2.6K - 18% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 200 Β· π 680 Β· π₯ 18K Β· π¦ 550 Β· π 2.7K - 18% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 46K / month Β· π¦ 46 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 45K / month Β· π¦ 46 Β· β±οΈ 26.01.2021):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 440K Β· β±οΈ 05.01.2021):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 450K Β· β±οΈ 26.01.2021):
```
conda install -c conda-forge dvc
```
wandb client (π₯30 Β· β 2.6K) - A tool for visualizing and tracking your machine learning.. MIT
+wandb client (π₯30 Β· β 2.7K) - A tool for visualizing and tracking your machine learning.. MIT
-- [GitHub](https://github.com/wandb/client) (π¨βπ» 74 Β· π 180 Β· π¦ 1.8K Β· π 990 - 34% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/wandb/client) (π¨βπ» 74 Β· π 190 Β· π¦ 1.9K Β· π 900 - 26% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 180K / month Β· π¦ 78 Β· β±οΈ 16.01.2021):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 180K / month Β· π¦ 78 Β· β±οΈ 24.01.2021):
```
pip install wandb
```
SageMaker SDK (π₯30 Β· β 1.3K Β· π) - A library for training and deploying machine learning.. Apache-2
+SageMaker SDK (π₯30 Β· β 1.3K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 160 Β· π 560 Β· π¦ 570 Β· π 720 - 28% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 160 Β· π 560 Β· π¦ 580 Β· π 720 - 28% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 380K / month Β· π¦ 28 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 330K / month Β· π¦ 28 Β· β±οΈ 23.01.2021):
```
pip install sagemaker
```
kaggle (π₯29 Β· β 3.8K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 35 Β· π 770 Β· π¦ 4.3K Β· π 270 - 60% open Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 35 Β· π 770 Β· π¦ 4.4K Β· π 270 - 60% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/kaggle) (π₯ 200K / month Β· π¦ 560 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 110K / month Β· π¦ 560 Β· β±οΈ 30.11.2020):
```
pip install kaggle
```
@@ -6952,19 +7018,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 10K / month Β· π¦ 150 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 11K / month Β· π¦ 150 Β· β±οΈ 14.12.2020):
```
pip install sacred
```
snakemake (π₯29 Β· β 820) - This is the development home of the workflow management system.. MIT
+snakemake (π₯29 Β· β 830) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 200 Β· π 180 Β· π¦ 730 Β· π 520 - 60% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 200 Β· π 190 Β· π¦ 730 Β· π 530 - 61% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 7.8K / month Β· π¦ 290 Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 7.6K / month Β· π¦ 290 Β· β±οΈ 15.01.2021):
```
pip install snakemake
```
@@ -6975,92 +7041,80 @@ _Libraries to organize, track, and visualize machine learning experiments._
PyCaret (π₯28 Β· β 2.9K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 44 Β· π 600 Β· π₯ 350 Β· π¦ 610 Β· π 710 - 22% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 46 Β· π 600 Β· π₯ 360 Β· π¦ 630 Β· π 710 - 21% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 22K / month Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 20K / month Β· β±οΈ 22.12.2020):
```
pip install pycaret
```
AzureML SDK (π₯28 Β· β 2.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT
-- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 52 Β· π 1.5K Β· π₯ 390 Β· π 920 - 7% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 52 Β· π 1.6K Β· π₯ 390 Β· π 930 - 8% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 260K / month Β· π¦ 60 Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 240K / month Β· π¦ 60 Β· β±οΈ 25.01.2021):
```
pip install azureml-sdk
```
tensorboardX (π₯27 Β· β 6.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 64 Β· π 770 Β· π₯ 290 Β· π¦ 9.8K Β· π 410 - 17% open Β· β±οΈ 05.07.2020):
+- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 64 Β· π 780 Β· π₯ 290 Β· π¦ 10K Β· π 410 - 17% open Β· β±οΈ 05.07.2020):
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 280K / month Β· π¦ 1.3K Β· β±οΈ 31.12.2019):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 250K / month Β· π¦ 1.3K Β· β±οΈ 31.12.2019):
```
pip install tensorboardX
```
-- [Conda](https://anaconda.org/conda-forge/tensorboardx) (π₯ 260K Β· β±οΈ 06.07.2020):
+- [Conda](https://anaconda.org/conda-forge/tensorboardx) (π₯ 270K Β· β±οΈ 06.07.2020):
```
conda install -c conda-forge tensorboardx
```
Metaflow (π₯26 Β· β 4K) - Build and manage real-life data science projects with ease. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 28 Β· π 310 Β· π¦ 100 Β· π 250 - 43% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 28 Β· π 310 Β· π¦ 100 Β· π 250 - 43% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 35K / month Β· π¦ 1 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 25K / month Β· π¦ 2 Β· β±οΈ 26.01.2021):
```
pip install metaflow
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 10K Β· β±οΈ 12.11.2020):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 10K Β· β±οΈ 27.01.2021):
```
conda install -c conda-forge metaflow
```
Catalyst (π₯26 Β· β 2.4K) - Accelerated deep learning R&D. Apache-2
-- [GitHub](https://github.com/catalyst-team/catalyst) (π¨βπ» 81 Β· π 270 Β· π¦ 270 Β· π 280 - 6% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/catalyst-team/catalyst) (π¨βπ» 81 Β· π 270 Β· π¦ 280 Β· π 280 - 6% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/catalyst-team/catalyst
```
-- [PyPi](https://pypi.org/project/catalyst) (π₯ 6.3K / month Β· π¦ 38 Β· β±οΈ 20.12.2020):
+- [PyPi](https://pypi.org/project/catalyst) (π₯ 5.2K / month Β· π¦ 38 Β· β±οΈ 24.01.2021):
```
pip install catalyst
```
TNT (π₯25 Β· β 1.3K) - Simple tools for logging and visualizing, loading and training. BSD-3
-
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 35 Β· π 180 Β· π¦ 510 Β· π 64 - 46% open Β· β±οΈ 05.01.2021):
-
- ```
- git clone https://github.com/pytorch/tnt
- ```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 8.2K / month Β· π¦ 50 Β· β±οΈ 29.07.2018):
- ```
- pip install torchnet
- ```
-ClearML (π₯24 Β· β 2.1K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 24 Β· π 310 Β· π₯ 260 Β· π¦ 10 Β· π 250 - 21% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 25 Β· π 320 Β· π₯ 260 Β· π¦ 11 Β· π 260 - 22% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 1.6K / month Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 1.8K / month Β· β±οΈ 24.01.2021):
```
pip install clearml
```
@@ -7069,42 +7123,38 @@ _Libraries to organize, track, and visualize machine learning experiments._
docker pull allegroai/trains
```
Hub (π₯24 Β· β 690) - The fastest way to access and manage datasets for PyTorch and TensorFlow... MPL-2.0
+TNT (π₯24 Β· β 1.3K) - Simple tools for logging and visualizing, loading and training. BSD-3
-- [GitHub](https://github.com/activeloopai/Hub) (π¨βπ» 50 Β· π 120 Β· π¦ 120 Β· π 180 - 46% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 35 Β· π 190 Β· π¦ 520 Β· π 64 - 46% open Β· β±οΈ 05.01.2021):
```
- git clone https://github.com/activeloopai/Hub
- ```
-- [PyPi](https://pypi.org/project/hub) (π₯ 1.1K / month Β· π¦ 52 Β· β±οΈ 15.01.2021):
- ```
- pip install hub
+ git clone https://github.com/pytorch/tnt
```
-- [Conda](https://anaconda.org/conda-forge/hub) (π₯ 93K Β· β±οΈ 22.04.2020):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.9K / month Β· π¦ 50 Β· β±οΈ 29.07.2018):
```
- conda install -c conda-forge hub
+ pip install torchnet
```
ml-metadata (π₯24 Β· β 260) - For recording and retrieving metadata associated with ML.. Apache-2
+ml-metadata (π₯24 Β· β 270) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 11 Β· π 56 Β· π₯ 1.2K Β· π¦ 65 Β· π 54 - 27% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 11 Β· π 58 Β· π₯ 1.2K Β· π¦ 69 Β· π 58 - 31% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 230K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 220K / month Β· β±οΈ 26.01.2021):
```
pip install ml-metadata
```
VisualDL (π₯23 Β· β 3.2K) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 28 Β· π 440 Β· π₯ 67 Β· π¦ 140 Β· π 340 - 6% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 28 Β· π 440 Β· π₯ 67 Β· π¦ 140 Β· π 340 - 6% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 4.7K / month Β· π¦ 10 Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 3.7K / month Β· π¦ 10 Β· β±οΈ 29.12.2020):
```
pip install visualdl
```
@@ -7116,7 +7166,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/microsoft/tensorwatch
```
-- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 12K / month Β· π¦ 6 Β· β±οΈ 04.03.2020):
+- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 18K / month Β· π¦ 6 Β· β±οΈ 04.03.2020):
```
pip install tensorwatch
```
@@ -7128,7 +7178,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/stared/livelossplot
```
-- [PyPi](https://pypi.org/project/livelossplot) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/livelossplot) (π₯ 10K / month Β· π¦ 5 Β· β±οΈ 24.07.2020):
```
pip install livelossplot
```
@@ -7140,7 +7190,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/huggingface/knockknock
```
-- [PyPi](https://pypi.org/project/knockknock) (π₯ 1.2K / month Β· π¦ 3 Β· β±οΈ 16.03.2020):
+- [PyPi](https://pypi.org/project/knockknock) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 16.03.2020):
```
pip install knockknock
```
@@ -7151,28 +7201,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
Guild AI (π₯22 Β· β 530) - Experiment tracking, ML developer tools. Apache-2
-- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 16 Β· π 42 Β· π¦ 25 Β· π 240 - 39% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 16 Β· π 42 Β· π¦ 25 Β· π 240 - 38% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/guildai/guildai
```
-- [PyPi](https://pypi.org/project/guildai) (π₯ 1.8K / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/guildai) (π₯ 1.9K / month Β· β±οΈ 14.01.2021):
```
pip install guildai
```
Studio.ml (π₯22 Β· β 370) - Studio: Simplify and expedite model building process. Apache-2
-
-- [GitHub](https://github.com/studioml/studio) (π¨βπ» 21 Β· π 48 Β· π¦ 3 Β· π 240 - 22% open Β· β±οΈ 20.01.2021):
-
- ```
- git clone https://github.com/studioml/studio
- ```
-- [PyPi](https://pypi.org/project/studioml) (π₯ 1.1K / month Β· β±οΈ 20.01.2021):
- ```
- pip install studioml
- ```
-lore (π₯21 Β· β 1.5K Β· π€) - Lore makes machine learning approachable for Software Engineers and.. MIT
- [GitHub](https://github.com/instacart/lore) (π¨βπ» 22 Β· π 120 Β· π¦ 16 Β· π 34 - 47% open Β· β±οΈ 11.05.2020):
@@ -7180,50 +7218,50 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/instacart/lore
```
-- [PyPi](https://pypi.org/project/lore) (π₯ 460 / month Β· π¦ 1 Β· β±οΈ 11.05.2020):
+- [PyPi](https://pypi.org/project/lore) (π₯ 440 / month Β· π¦ 1 Β· β±οΈ 11.05.2020):
```
pip install lore
```
gokart (π₯21 Β· β 160) - A wrapper of the data pipeline library luigi. MIT
+Studio.ml (π₯21 Β· β 370) - Studio: Simplify and expedite model building process. Apache-2
-- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 24 Β· π 30 Β· π¦ 28 Β· π 29 - 31% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/studioml/studio) (π¨βπ» 21 Β· π 48 Β· π¦ 3 Β· π 240 - 22% open Β· β±οΈ 22.01.2021):
```
- git clone https://github.com/m3dev/gokart
+ git clone https://github.com/studioml/studio
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 470 / month Β· π¦ 2 Β· β±οΈ 25.02.2020):
+- [PyPi](https://pypi.org/project/studioml) (π₯ 940 / month Β· β±οΈ 22.01.2021):
```
- pip install gokart
+ pip install studioml
```
Labml (π₯20 Β· β 360) - Monitor PyTorch & TensorFlow model training from your mobile phone. MIT
+Labml (π₯20 Β· β 370) - Monitor PyTorch & TensorFlow model training from your mobile phone. MIT
-- [GitHub](https://github.com/lab-ml/labml) (π¨βπ» 6 Β· π 33 Β· π¦ 20 Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/lab-ml/labml) (π¨βπ» 6 Β· π 35 Β· π¦ 20 Β· β±οΈ 28.01.2021):
```
git clone https://github.com/lab-ml/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 760 / month Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/labml) (π₯ 550 / month Β· β±οΈ 28.01.2021):
```
pip install labml
```
hiddenlayer (π₯19 Β· β 1.4K Β· π€) - Neural network graphs and training metrics for.. MIT
-- [GitHub](https://github.com/waleedka/hiddenlayer) (π¨βπ» 6 Β· π 190 Β· π¦ 52 Β· π 75 - 57% open Β· β±οΈ 24.04.2020):
+- [GitHub](https://github.com/waleedka/hiddenlayer) (π¨βπ» 6 Β· π 200 Β· π¦ 54 Β· π 75 - 57% open Β· β±οΈ 24.04.2020):
```
git clone https://github.com/waleedka/hiddenlayer
```
-- [PyPi](https://pypi.org/project/hiddenlayer) (π₯ 1.1K / month Β· π¦ 4 Β· β±οΈ 24.04.2020):
+- [PyPi](https://pypi.org/project/hiddenlayer) (π₯ 1K / month Β· π¦ 4 Β· β±οΈ 24.04.2020):
```
pip install hiddenlayer
```
MXBoard (π₯19 Β· β 330 Β· π€) - Logging MXNet data for visualization in TensorBoard. Apache-2
-- [GitHub](https://github.com/awslabs/mxboard) (π¨βπ» 9 Β· π 46 Β· π¦ 93 Β· π 31 - 51% open Β· β±οΈ 24.01.2020):
+- [GitHub](https://github.com/awslabs/mxboard) (π¨βπ» 9 Β· π 46 Β· π¦ 95 Β· π 31 - 51% open Β· β±οΈ 24.01.2020):
```
git clone https://github.com/awslabs/mxboard
@@ -7240,29 +7278,41 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 110K / month Β· π¦ 3 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 89K / month Β· π¦ 3 Β· β±οΈ 26.07.2020):
```
pip install quinn
```
aim (π₯15 Β· β 810) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2
+gokart (π₯19 Β· β 160 Β· π) - A wrapper of the data pipeline library luigi. MIT
+
+- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 24 Β· π 29 Β· π 31 - 29% open Β· β±οΈ 27.01.2021):
+
+ ```
+ git clone https://github.com/m3dev/gokart
+ ```
+- [PyPi](https://pypi.org/project/gokart) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 25.02.2020):
+ ```
+ pip install gokart
+ ```
+aim (π₯15 Β· β 820) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 8 Β· π 46 Β· π 41 - 39% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 8 Β· π 46 Β· π 44 - 43% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 860 / month Β· π¦ 2 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/aim) (π₯ 790 / month Β· π¦ 2 Β· β±οΈ 07.01.2021):
```
pip install aim
```
Show 6 hidden projects...
-- TensorBoard Logger (π₯20 Β· β 610 Β· π) - Log TensorBoard events without touching TensorFlow. MIT
+- TensorBoard Logger (π₯19 Β· β 610 Β· π) - Log TensorBoard events without touching TensorFlow. MIT
- SKLL (π₯17 Β· β 520) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βοΈBSD-1-Clause MIT
-- steppy (π₯15 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
+- steppy (π₯16 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
- ModelChimp (π₯14 Β· β 120) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (π₯10 Β· β 9 Β· π£) - Train off-the-shelf machine learning models in one.. Apache-2 onnx (π₯33 Β· β 9.7K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 190 Β· π 1.8K Β· π₯ 10K Β· π¦ 2.4K Β· π 1.4K - 35% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 190 Β· π 1.8K Β· π₯ 10K Β· π¦ 2.5K Β· π 1.4K - 35% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 300K / month Β· π¦ 300 Β· β±οΈ 06.11.2020):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 270K / month Β· π¦ 300 Β· β±οΈ 06.11.2020):
```
pip install onnx
```
@@ -7292,80 +7342,80 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (π₯26 Β· β 2.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 110 Β· π 320 Β· π₯ 2.3K Β· π¦ 450 Β· π 620 - 50% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 110 Β· π 320 Β· π₯ 2.3K Β· π¦ 460 Β· π 620 - 50% open Β· β±οΈ 08.01.2021):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 38K / month Β· π¦ 130 Β· β±οΈ 10.10.2020):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 34K / month Β· π¦ 130 Β· β±οΈ 10.10.2020):
```
pip install coremltools
```
TorchServe (π₯24 Β· β 1.5K) - Model Serving on PyTorch. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 61 Β· π 220 Β· π₯ 180 Β· π¦ 26 Β· π 530 - 24% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 61 Β· π 230 Β· π₯ 180 Β· π¦ 26 Β· π 530 - 24% open Β· β±οΈ 13.01.2021):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 2.1K / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 3.3K / month Β· β±οΈ 17.12.2020):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 6.1K Β· β±οΈ 17.12.2020):
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 6.2K Β· β±οΈ 17.12.2020):
```
conda install -c pytorch torchserve
```
-- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (π₯ 50K Β· β 3 Β· β±οΈ 18.12.2020):
+- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (π₯ 51K Β· β 3 Β· β±οΈ 18.12.2020):
```
docker pull pytorch/torchserve
```
mmdnn (π₯22 Β· β 5.2K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
+m2cgen (π₯23 Β· β 1.8K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT
-- [GitHub](https://github.com/microsoft/MMdnn) (π¨βπ» 85 Β· π 920 Β· π₯ 3.3K Β· π¦ 49 Β· π 590 - 51% open Β· β±οΈ 14.08.2020):
+- [GitHub](https://github.com/BayesWitnesses/m2cgen) (π¨βπ» 12 Β· π 150 Β· π¦ 4 Β· π 72 - 50% open Β· β±οΈ 07.10.2020):
```
- git clone https://github.com/Microsoft/MMdnn
+ git clone https://github.com/BayesWitnesses/m2cgen
```
-- [PyPi](https://pypi.org/project/mmdnn) (π₯ 550 / month Β· π¦ 3 Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/m2cgen) (π₯ 8.3K / month Β· β±οΈ 18.09.2020):
```
- pip install mmdnn
+ pip install m2cgen
```
m2cgen (π₯22 Β· β 1.7K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT
+mmdnn (π₯22 Β· β 5.2K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
-- [GitHub](https://github.com/BayesWitnesses/m2cgen) (π¨βπ» 12 Β· π 150 Β· π¦ 4 Β· π 61 - 40% open Β· β±οΈ 07.10.2020):
+- [GitHub](https://github.com/microsoft/MMdnn) (π¨βπ» 85 Β· π 920 Β· π₯ 3.3K Β· π¦ 49 Β· π 590 - 51% open Β· β±οΈ 14.08.2020):
```
- git clone https://github.com/BayesWitnesses/m2cgen
+ git clone https://github.com/Microsoft/MMdnn
```
-- [PyPi](https://pypi.org/project/m2cgen) (π₯ 8.4K / month Β· β±οΈ 18.09.2020):
+- [PyPi](https://pypi.org/project/mmdnn) (π₯ 430 / month Β· π¦ 3 Β· β±οΈ 24.07.2020):
```
- pip install m2cgen
+ pip install mmdnn
```
cortex (π₯21 Β· β 7.2K) - Run inference at scale. Apache-2
+cortex (π₯21 Β· β 7.3K) - Run inference at scale. Apache-2
-- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 18 Β· π 540 Β· π 880 - 20% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 18 Β· π 550 Β· π 900 - 20% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/cortexlabs/cortex
```
-- [PyPi](https://pypi.org/project/cortex) (π₯ 690 / month Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/cortex) (π₯ 600 / month Β· β±οΈ 21.01.2021):
```
pip install cortex
```
Hummingbird (π₯20 Β· β 2.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
-- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 18 Β· π 160 Β· π₯ 90 Β· π¦ 12 Β· π 180 - 26% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 18 Β· π 160 Β· π₯ 91 Β· π¦ 12 Β· π 180 - 26% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 800 / month Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 780 / month Β· β±οΈ 04.01.2021):
```
pip install hummingbird-ml
```
@@ -7377,7 +7427,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/nerox8664/pytorch2keras
```
-- [PyPi](https://pypi.org/project/pytorch2keras) (π₯ 370 / month Β· π¦ 1 Β· β±οΈ 14.05.2020):
+- [PyPi](https://pypi.org/project/pytorch2keras) (π₯ 380 / month Β· π¦ 1 Β· β±οΈ 14.05.2020):
```
pip install pytorch2keras
```
@@ -7389,14 +7439,14 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/riga/tfdeploy
```
-- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 43 / month Β· π¦ 2 Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 46 / month Β· π¦ 2 Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
Show 2 hidden projects...
-- Larq Compute Engine (π₯17 Β· β 120 Β· π) - Highly optimized inference engine for Binarized.. Apache-2
+- Larq Compute Engine (π₯17 Β· β 130) - Highly optimized inference engine for Binarized.. Apache-2
- sklearn-porter (π₯16 Β· β 950 Β· π) - Transpile trained scikit-learn estimators to C, Java,.. MIT
@@ -7407,90 +7457,74 @@ _Libraries to serialize models to files, convert between a variety of model form
_Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
-shap (π₯33 Β· β 11K) - A game theoretic approach to explain the output of any machine learning model. MIT
+shap (π₯33 Β· β 12K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/slundberg/shap) (π¨βπ» 140 Β· π 1.6K Β· π¦ 1.9K Β· π 1.4K - 64% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/slundberg/shap) (π¨βπ» 140 Β· π 1.7K Β· π¦ 1.9K Β· π 1.4K - 64% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 760K / month Β· π¦ 140 Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/shap) (π₯ 690K / month Β· π¦ 140 Β· β±οΈ 04.11.2020):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 360K Β· β±οΈ 16.12.2020):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 370K Β· β±οΈ 16.12.2020):
```
conda install -c conda-forge shap
```
Lime (π₯29 Β· β 8.3K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
+Lime (π₯29 Β· β 8.4K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
-- [GitHub](https://github.com/marcotcr/lime) (π¨βπ» 57 Β· π 1.3K Β· π¦ 1K Β· π 480 - 7% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/marcotcr/lime) (π¨βπ» 57 Β· π 1.4K Β· π¦ 1K Β· π 490 - 9% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/marcotcr/lime
```
-- [PyPi](https://pypi.org/project/lime) (π₯ 160K / month Β· π¦ 130 Β· β±οΈ 03.04.2020):
+- [PyPi](https://pypi.org/project/lime) (π₯ 140K / month Β· π¦ 130 Β· β±οΈ 03.04.2020):
```
pip install lime
```
-- [Conda](https://anaconda.org/conda-forge/lime) (π₯ 62K Β· β±οΈ 28.06.2020):
+- [Conda](https://anaconda.org/conda-forge/lime) (π₯ 63K Β· β±οΈ 28.06.2020):
```
conda install -c conda-forge lime
```
eli5 (π₯28 Β· β 2.3K Β· π€) - A library for debugging/inspecting machine learning classifiers and.. MIT
+InterpretML (π₯27 Β· β 3.4K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/TeamHG-Memex/eli5) (π¨βπ» 14 Β· π 280 Β· π¦ 840 Β· π 240 - 53% open Β· β±οΈ 22.01.2020):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 23 Β· π 430 Β· π¦ 61 Β· π 170 - 28% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/TeamHG-Memex/eli5
- ```
-- [PyPi](https://pypi.org/project/eli5) (π₯ 220K / month Β· π¦ 96 Β· β±οΈ 29.08.2019):
- ```
- pip install eli5
+ git clone https://github.com/interpretml/interpret
```
-- [Conda](https://anaconda.org/conda-forge/eli5) (π₯ 86K Β· β±οΈ 15.06.2020):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 8.4K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
```
- conda install -c conda-forge eli5
+ pip install interpret
```
arviz (π₯28 Β· β 930) - Exploratory analysis of Bayesian models with Python. Apache-2
+eli5 (π₯27 Β· β 2.3K Β· π€) - A library for debugging/inspecting machine learning classifiers and.. MIT
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 62 Β· π 170 Β· π₯ 98 Β· π¦ 680 Β· π 520 - 20% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/TeamHG-Memex/eli5) (π¨βπ» 14 Β· π 300 Β· π 260 - 56% open Β· β±οΈ 22.01.2020):
```
- git clone https://github.com/arviz-devs/arviz
- ```
-- [PyPi](https://pypi.org/project/arviz) (π₯ 110K / month Β· π¦ 36 Β· β±οΈ 17.01.2021):
- ```
- pip install arviz
- ```
-- [Conda](https://anaconda.org/conda-forge/arviz) (π₯ 170K Β· β±οΈ 18.01.2021):
- ```
- conda install -c conda-forge arviz
+ git clone https://github.com/TeamHG-Memex/eli5
```
-InterpretML (π₯27 Β· β 3.4K) - Fit interpretable models. Explain blackbox machine learning. MIT
-
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 23 Β· π 430 Β· π¦ 60 Β· π 160 - 26% open Β· β±οΈ 20.01.2021):
-
+- [PyPi](https://pypi.org/project/eli5) (π₯ 190K / month Β· π¦ 110 Β· β±οΈ 23.01.2021):
```
- git clone https://github.com/interpretml/interpret
+ pip install eli5
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 9.6K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
+- [Conda](https://anaconda.org/conda-forge/eli5) (π₯ 86K Β· β±οΈ 25.01.2021):
```
- pip install interpret
+ conda install -c conda-forge eli5
```
pyLDAvis (π₯27 Β· β 1.4K Β· π) - Python library for interactive topic model visualization... BSD-3
+pyLDAvis (π₯27 Β· β 1.4K) - Python library for interactive topic model visualization. Port of.. BSD-3
- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 31 Β· π 290 Β· π¦ 1.7K Β· π 150 - 61% open Β· β±οΈ 02.12.2020):
```
git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 58K / month Β· π¦ 99 Β· β±οΈ 05.06.2018):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 53K / month Β· π¦ 99 Β· β±οΈ 05.06.2018):
```
pip install pyldavis
```
@@ -7501,12 +7535,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (π₯27 Β· β 1K) - Model analysis tools for TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 33 Β· π 200 Β· π 54 - 40% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 33 Β· π 200 Β· π 54 - 40% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 5.8M / month Β· π¦ 10 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 5M / month Β· π¦ 10 Β· β±οΈ 16.12.2020):
```
pip install tensorflow-model-analysis
```
@@ -7518,59 +7552,75 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 53K / month Β· π¦ 62 Β· β±οΈ 09.10.2020):
+- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 48K / month Β· π¦ 62 Β· β±οΈ 09.10.2020):
```
pip install yellowbrick
```
Captum (π₯25 Β· β 2.1K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 66 Β· π 200 Β· π¦ 100 Β· π 180 - 24% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 67 Β· π 210 Β· π¦ 110 Β· π 190 - 25% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 7.4K / month Β· β±οΈ 13.11.2020):
+- [PyPi](https://pypi.org/project/captum) (π₯ 7.2K / month Β· β±οΈ 22.01.2021):
```
pip install captum
```
dtreeviz (π₯25 Β· β 1.4K) - A python library for decision tree visualization and model interpretation. MIT
-- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 13 Β· π 180 Β· π¦ 100 Β· π 80 - 17% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 14 Β· π 190 Β· π¦ 100 Β· π 84 - 17% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 13K / month Β· π¦ 4 Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
```
pip install dtreeviz
```
arviz (π₯25 Β· β 940 Β· π) - Exploratory analysis of Bayesian models with Python. Apache-2
+
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 63 Β· π 180 Β· π₯ 98 Β· π¦ 690 Β· π 520 - 20% open Β· β±οΈ 27.01.2021):
+
+ ```
+ git clone https://github.com/arviz-devs/arviz
+ ```
+- [PyPi](https://pypi.org/project/arviz) (π₯ 99K / month Β· π¦ 36 Β· β±οΈ 17.01.2021):
+ ```
+ pip install arviz
+ ```
+- [Conda](https://anaconda.org/conda-forge/arviz) (π₯ 180K Β· β±οΈ 18.01.2021):
+ ```
+ conda install -c conda-forge arviz
+ ```
+Lucid (π₯24 Β· β 4K) - A collection of infrastructure and tools for research in neural.. Apache-2
-- [GitHub](https://github.com/tensorflow/lucid) (π¨βπ» 34 Β· π 550 Β· π¦ 410 Β· π 160 - 41% open Β· β±οΈ 24.11.2020):
+- [GitHub](https://github.com/tensorflow/lucid) (π¨βπ» 35 Β· π 560 Β· π¦ 420 Β· π 160 - 41% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/tensorflow/lucid
```
-- [PyPi](https://pypi.org/project/lucid) (π₯ 490 / month Β· π¦ 6 Β· β±οΈ 20.12.2018):
+- [PyPi](https://pypi.org/project/lucid) (π₯ 510 / month Β· π¦ 6 Β· β±οΈ 20.12.2018):
```
pip install lucid
```
DoWhy (π₯24 Β· β 2.6K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/microsoft/dowhy) (π¨βπ» 37 Β· π 360 Β· π₯ 19 Β· π¦ 24 Β· π 95 - 14% open Β· β±οΈ 24.12.2020):
+- [GitHub](https://github.com/microsoft/dowhy) (π¨βπ» 38 Β· π 370 Β· π₯ 21 Β· π¦ 25 Β· π 97 - 16% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/Microsoft/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 7.1K / month Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 5.7K / month Β· β±οΈ 12.12.2020):
```
pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 920 Β· β±οΈ 13.12.2020):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 940 Β· β±οΈ 13.12.2020):
```
conda install -c conda-forge dowhy
```
@@ -7582,107 +7632,107 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
```
pip install aif360
```
keras-vis (π₯23 Β· β 2.8K Β· π€) - Neural network visualization toolkit for keras. MIT
-- [GitHub](https://github.com/raghakot/keras-vis) (π¨βπ» 10 Β· π 580 Β· π¦ 660 Β· π 210 - 53% open Β· β±οΈ 20.04.2020):
+- [GitHub](https://github.com/raghakot/keras-vis) (π¨βπ» 10 Β· π 580 Β· π¦ 680 Β· π 210 - 53% open Β· β±οΈ 20.04.2020):
```
git clone https://github.com/raghakot/keras-vis
```
-- [PyPi](https://pypi.org/project/keras-vis) (π₯ 1.9K / month Β· π¦ 28 Β· β±οΈ 06.07.2017):
+- [PyPi](https://pypi.org/project/keras-vis) (π₯ 1.4K / month Β· π¦ 28 Β· β±οΈ 06.07.2017):
```
pip install keras-vis
```
keract (π₯23 Β· β 840) - Activation Maps (Layers Outputs) and Gradients in Keras. MIT
+random-forest-importances (π₯23 Β· β 400) - Code to compute permutation and drop-column.. MIT
-- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 15 Β· π 180 Β· π¦ 66 Β· π 76 - 2% open Β· β±οΈ 09.01.2021):
+- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 14 Β· π 88 Β· π¦ 59 Β· π 30 - 16% open Β· β±οΈ 08.01.2021):
```
- git clone https://github.com/philipperemy/keract
+ git clone https://github.com/parrt/random-forest-importances
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 1.4K / month Β· π¦ 5 Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/rfpimp) (π₯ 8.2K / month Β· π¦ 2 Β· β±οΈ 25.11.2020):
```
- pip install keract
+ pip install rfpimp
```
TreeInterpreter (π₯23 Β· β 640) - Package for interpreting scikit-learn's decision tree.. BSD-3
+Alibi (π₯22 Β· β 870) - Algorithms for monitoring and explaining machine learning models. Apache-2
-- [GitHub](https://github.com/andosa/treeinterpreter) (π¨βπ» 10 Β· π 130 Β· π¦ 120 Β· π 28 - 89% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 11 Β· π 100 Β· π¦ 60 Β· π 140 - 46% open Β· β±οΈ 22.01.2021):
```
- git clone https://github.com/andosa/treeinterpreter
+ git clone https://github.com/SeldonIO/alibi
```
-- [PyPi](https://pypi.org/project/treeinterpreter) (π₯ 62K / month Β· π¦ 18 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/alibi) (π₯ 2K / month Β· π¦ 9 Β· β±οΈ 20.10.2020):
```
- pip install treeinterpreter
+ pip install alibi
```
random-forest-importances (π₯23 Β· β 400) - Code to compute permutation and drop-column.. MIT
+keract (π₯22 Β· β 850) - Activation Maps (Layers Outputs) and Gradients in Keras. MIT
-- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 14 Β· π 88 Β· π¦ 58 Β· π 29 - 13% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 15 Β· π 180 Β· π¦ 66 Β· π 76 - 1% open Β· β±οΈ 24.01.2021):
```
- git clone https://github.com/parrt/random-forest-importances
+ git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/rfpimp) (π₯ 12K / month Β· π¦ 2 Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/keract) (π₯ 1.1K / month Β· π¦ 5 Β· β±οΈ 22.01.2021):
```
- pip install rfpimp
+ pip install keract
```
Alibi (π₯22 Β· β 860) - Algorithms for monitoring and explaining machine learning models. Apache-2
+Explainability 360 (π₯22 Β· β 760) - Interpretability and explainability of data and machine.. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 11 Β· π 100 Β· π¦ 56 Β· π 140 - 47% open Β· β±οΈ 02.12.2020):
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 27 Β· π 170 Β· π¦ 13 Β· π 44 - 59% open Β· β±οΈ 04.12.2020):
```
- git clone https://github.com/SeldonIO/alibi
+ git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/alibi) (π₯ 2.1K / month Β· π¦ 9 Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 450 / month Β· π¦ 1 Β· β±οΈ 28.10.2020):
```
- pip install alibi
+ pip install aix360
```
Explainability 360 (π₯22 Β· β 750) - Interpretability and explainability of data and machine.. Apache-2
+TreeInterpreter (π₯22 Β· β 640) - Package for interpreting scikit-learn's decision tree.. BSD-3
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 27 Β· π 170 Β· π¦ 13 Β· π 44 - 59% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/andosa/treeinterpreter) (π¨βπ» 10 Β· π 130 Β· π¦ 120 Β· π 28 - 89% open Β· β±οΈ 10.01.2021):
```
- git clone https://github.com/Trusted-AI/AIX360
+ git clone https://github.com/andosa/treeinterpreter
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 480 / month Β· π¦ 1 Β· β±οΈ 28.10.2020):
+- [PyPi](https://pypi.org/project/treeinterpreter) (π₯ 58K / month Β· π¦ 18 Β· β±οΈ 10.01.2021):
```
- pip install aix360
+ pip install treeinterpreter
```
iNNvestigate (π₯21 Β· β 750) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2
-- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 18 Β· π 170 Β· π¦ 43 Β· π 200 - 35% open Β· β±οΈ 16.10.2020):
+- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 18 Β· π 170 Β· π¦ 46 Β· π 200 - 36% open Β· β±οΈ 16.10.2020):
```
git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 330 / month Β· π¦ 1 Β· β±οΈ 14.11.2020):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 340 / month Β· π¦ 1 Β· β±οΈ 14.11.2020):
```
pip install innvestigate
```
fairlearn (π₯21 Β· β 650) - A Python package to assess and improve fairness of machine.. MIT
+fairlearn (π₯21 Β· β 660) - A Python package to assess and improve fairness of machine.. MIT
- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 29 Β· π 160 Β· π 190 - 41% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
```
pip install fairlearn
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 8.5K Β· β±οΈ 11.11.2020):
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 8.6K Β· β±οΈ 11.11.2020):
```
conda install -c conda-forge fairlearn
```
@@ -7694,31 +7744,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 210 / month Β· π¦ 3 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 220 / month Β· π¦ 3 Β· β±οΈ 16.12.2020):
```
pip install aequitas
```
checklist (π₯20 Β· β 1.2K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
-- [GitHub](https://github.com/marcotcr/checklist) (π¨βπ» 7 Β· π 97 Β· π¦ 5 Β· π 56 - 5% open Β· β±οΈ 16.12.2020):
+- [GitHub](https://github.com/marcotcr/checklist) (π¨βπ» 7 Β· π 98 Β· π¦ 5 Β· π 56 - 5% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/marcotcr/checklist
```
-- [PyPi](https://pypi.org/project/checklist) (π₯ 260 / month Β· π¦ 2 Β· β±οΈ 21.09.2020):
+- [PyPi](https://pypi.org/project/checklist) (π₯ 290 / month Β· π¦ 2 Β· β±οΈ 21.09.2020):
```
pip install checklist
```
tf-explain (π₯20 Β· β 750) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT
-- [GitHub](https://github.com/sicara/tf-explain) (π¨βπ» 12 Β· π 69 Β· π¦ 59 Β· π 75 - 45% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/sicara/tf-explain) (π¨βπ» 12 Β· π 70 Β· π¦ 60 Β· π 75 - 45% open Β· β±οΈ 05.01.2021):
```
git clone https://github.com/sicara/tf-explain
```
-- [PyPi](https://pypi.org/project/tf-explain) (π₯ 970 / month Β· π¦ 1 Β· β±οΈ 14.02.2020):
+- [PyPi](https://pypi.org/project/tf-explain) (π₯ 890 / month Β· π¦ 1 Β· β±οΈ 14.02.2020):
```
pip install tf-explain
```
@@ -7730,7 +7780,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/kundajelab/deeplift
```
-- [PyPi](https://pypi.org/project/deeplift) (π₯ 460 / month Β· π¦ 2 Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/deeplift) (π₯ 490 / month Β· π¦ 2 Β· β±οΈ 11.11.2020):
```
pip install deeplift
```
@@ -7747,49 +7797,73 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install sklearn-evaluation
```
What-If Tool (π₯19 Β· β 420) - Source code/webpage/demos for the What-If Tool. Apache-2
+CausalNex (π₯19 Β· β 950 Β· β) - A Python library that helps data scientists to infer.. Apache-2
+
+- [GitHub](https://github.com/quantumblacklabs/causalnex) (π¨βπ» 16 Β· π 100 Β· π¦ 7 Β· π 60 - 56% open Β· β±οΈ 06.01.2021):
+
+ ```
+ git clone https://github.com/quantumblacklabs/causalnex
+ ```
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 6.4K / month Β· β±οΈ 07.12.2020):
+ ```
+ pip install causalnex
+ ```
+What-If Tool (π₯19 Β· β 430) - Source code/webpage/demos for the What-If Tool. Apache-2
-- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 18 Β· π 90 Β· π 69 - 49% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 18 Β· π 91 Β· π 69 - 49% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 2.6K / month Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 2.8K / month Β· β±οΈ 19.01.2021):
```
pip install witwidget
```
-- [NPM](https://www.npmjs.com/package/wit-widget) (π₯ 2K / month Β· β±οΈ 19.01.2021):
+- [NPM](https://www.npmjs.com/package/wit-widget) (π₯ 2.3K / month Β· β±οΈ 19.01.2021):
```
npm install wit-widget
```
explainerdashboard (π₯19 Β· β 260) - Quickly build Explainable AI dashboards that show the inner.. MIT
+explainerdashboard (π₯18 Β· β 280) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 8 Β· π 37 Β· π¦ 3 Β· π 58 - 15% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 8 Β· π 40 Β· π¦ 3 Β· π 57 - 14% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 1.2K / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 1K / month Β· β±οΈ 27.01.2021):
```
pip install explainerdashboard
```
fairness-indicators (π₯18 Β· β 170) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2
-- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 19 Β· π 49 Β· π 21 - 76% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 19 Β· π 49 Β· π 21 - 76% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 440 / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 340 / month Β· β±οΈ 17.12.2020):
```
pip install fairness-indicators
```
LIT (π₯17 Β· β 2.4K Β· π£) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2
+
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 10 Β· π 230 Β· π 54 - 50% open Β· β±οΈ 17.11.2020):
+
+ ```
+ git clone https://github.com/PAIR-code/lit
+ ```
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 150 / month Β· β±οΈ 17.11.2020):
+ ```
+ pip install lit-nlp
+ ```
+DiCE (π₯17 Β· β 440) - Generate Diverse Counterfactual Explanations for any machine.. MIT
-- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 9 Β· π 64 Β· π 30 - 40% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 9 Β· π 65 Β· π 31 - 41% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/interpretml/DiCE
@@ -7799,28 +7873,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install dice-ml
```
ExplainX.ai (π₯17 Β· β 160) - Explainable AI framework for data scientists. Explain & debug any.. MIT
+LOFO (π₯17 Β· β 300) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 4 Β· π 28 Β· π 20 - 35% open Β· β±οΈ 07.01.2021):
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 3 Β· π 40 Β· π¦ 3 Β· π 11 - 9% open Β· β±οΈ 02.07.2020):
```
- git clone https://github.com/explainX/explainx
+ git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 430 / month Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 160 / month Β· β±οΈ 02.07.2020):
```
- pip install explainx
+ pip install lofo-importance
```
LIT (π₯16 Β· β 2.3K Β· π£) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2
+ExplainX.ai (π₯17 Β· β 160) - Explainable AI framework for data scientists. Explain & debug any.. MIT
-- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 10 Β· π 230 Β· π 54 - 50% open Β· β±οΈ 17.11.2020):
+- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 4 Β· π 28 Β· π 20 - 35% open Β· β±οΈ 07.01.2021):
```
- git clone https://github.com/PAIR-code/lit
+ git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 130 / month Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 390 / month Β· β±οΈ 07.12.2020):
```
- pip install lit-nlp
+ pip install explainx
```
tcav (π₯16 Β· β 430) - Code for the TCAV ML interpretability project. Apache-2
@@ -7830,31 +7904,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/tcav
```
-- [PyPi](https://pypi.org/project/tcav) (π₯ 39 / month Β· π¦ 1 Β· β±οΈ 10.06.2019):
+- [PyPi](https://pypi.org/project/tcav) (π₯ 34 / month Β· π¦ 1 Β· β±οΈ 10.06.2019):
```
pip install tcav
```
LOFO (π₯16 Β· β 290) - Leave One Feature Out Importance. MIT
-
-- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 3 Β· π 40 Β· π¦ 3 Β· π 11 - 9% open Β· β±οΈ 02.07.2020):
-
- ```
- git clone https://github.com/aerdem4/lofo-importance
- ```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 190 / month Β· β±οΈ 02.07.2020):
- ```
- pip install lofo-importance
- ```
-model-card-toolkit (π₯16 Β· β 150 Β· π£) - a tool that leverages rich metadata and lineage.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 7 Β· π 22 Β· π¦ 1 Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 7 Β· π 24 Β· π¦ 1 Β· π 11 - 81% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
-- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 75 / month Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 88 / month Β· β±οΈ 27.01.2021):
```
pip install model-card-toolkit
```
@@ -7866,19 +7928,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MisaOgura/flashtorch
```
-- [PyPi](https://pypi.org/project/flashtorch) (π₯ 140 / month Β· β±οΈ 29.05.2020):
+- [PyPi](https://pypi.org/project/flashtorch) (π₯ 120 / month Β· β±οΈ 29.05.2020):
```
pip install flashtorch
```
Anchor (π₯14 Β· β 620) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
-- [GitHub](https://github.com/marcotcr/anchor) (π¨βπ» 8 Β· π 87 Β· π 54 - 16% open Β· β±οΈ 10.09.2020):
+- [GitHub](https://github.com/marcotcr/anchor) (π¨βπ» 8 Β· π 88 Β· π 56 - 19% open Β· β±οΈ 10.09.2020):
```
git clone https://github.com/marcotcr/anchor
```
-- [PyPi](https://pypi.org/project/anchor_exp) (π₯ 440 / month Β· β±οΈ 26.06.2020):
+- [PyPi](https://pypi.org/project/anchor_exp) (π₯ 410 / month Β· β±οΈ 26.06.2020):
```
pip install anchor_exp
```
@@ -7889,9 +7951,9 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- Skater (π₯20 Β· β 970 Β· π€) - Python Library for Model Interpretation/Explanations. βοΈUPL-1.0
- DALEX (π₯18 Β· β 760) - moDel Agnostic Language for Exploration and eXplanation. βοΈGPL-3.0
- XAI (π₯16 Β· β 560 Β· π) - XAI - An eXplainability toolbox for machine learning. MIT
-- imodels (π₯16 Β· β 140) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT
-- contextual-ai (π₯13 Β· β 65) - Contextual AI adds explainability to different stages of.. Apache-2
-- Attribution Priors (π₯11 Β· β 71) - Tools for training explainable models using.. MIT MIT
+- contextual-ai (π₯15 Β· β 66 Β· π) - Contextual AI adds explainability to different stages of.. Apache-2
+- Attribution Priors (π₯11 Β· β 74) - Tools for training explainable models using.. MIT
@@ -7905,35 +7967,35 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Faiss (π₯29 Β· β 12K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 74 Β· π 2.1K Β· π¦ 300 Β· π 1.4K - 7% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 75 Β· π 2.1K Β· π¦ 300 Β· π 1.4K - 7% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 6.8K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 6.4K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
```
pip install pymilvus
```
-- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 22K Β· β±οΈ 12.12.2020):
+- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 23K Β· β±οΈ 12.12.2020):
```
conda install -c conda-forge faiss
```
Annoy (π₯29 Β· β 8.1K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2
-- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 68 Β· π 860 Β· π¦ 1.4K Β· π 290 - 9% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 68 Β· π 870 Β· π¦ 1.4K Β· π 290 - 9% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 220K / month Β· π¦ 360 Β· β±οΈ 18.09.2020):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 190K / month Β· π¦ 360 Β· β±οΈ 18.09.2020):
```
pip install annoy
```
NMSLIB (π₯28 Β· β 2.3K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
-- [GitHub](https://github.com/nmslib/nmslib) (π¨βπ» 44 Β· π 330 Β· π¦ 310 Β· π 360 - 12% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/nmslib/nmslib) (π¨βπ» 44 Β· π 330 Β· π¦ 320 Β· π 360 - 12% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/nmslib/nmslib
@@ -7942,23 +8004,23 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install nmslib
```
-- [Conda](https://anaconda.org/conda-forge/nmslib) (π₯ 10K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/nmslib) (π₯ 11K Β· β±οΈ 08.01.2021):
```
conda install -c conda-forge nmslib
```
Milvus (π₯25 Β· β 4.9K) - An open source embedding vector similarity search engine powered by.. Apache-2
+Milvus (π₯25 Β· β 5K) - An open source embedding vector similarity search engine powered by.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 130 Β· π 770 Β· π 2.1K - 10% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 140 Β· π 780 Β· π 2.1K - 10% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 6.8K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 6.4K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 220K Β· β 9 Β· β±οΈ 06.01.2021):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 230K Β· β 9 Β· β±οΈ 06.01.2021):
```
docker pull milvusdb/milvus
```
@@ -7970,7 +8032,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 14K / month Β· π¦ 2 Β· β±οΈ 13.07.2020):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 13.07.2020):
```
pip install hnswlib
```
@@ -7982,47 +8044,47 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/plasticityai/magnitude
```
-- [PyPi](https://pypi.org/project/pymagnitude) (π₯ 4.3K / month Β· π¦ 14 Β· β±οΈ 25.05.2020):
+- [PyPi](https://pypi.org/project/pymagnitude) (π₯ 3.6K / month Β· π¦ 14 Β· β±οΈ 25.05.2020):
```
pip install pymagnitude
```
PyNNDescent (π₯21 Β· β 370) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 10 Β· π 44 Β· π 57 - 49% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 10 Β· π 44 Β· π 57 - 49% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 23K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 32K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
```
pip install pynndescent
```
-- [Conda](https://anaconda.org/conda-forge/pynndescent) (π₯ 21K Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pynndescent) (π₯ 24K Β· β±οΈ 19.11.2020):
```
conda install -c conda-forge pynndescent
```
NGT (π₯19 Β· β 610) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 10 Β· π 67 Β· π 76 - 9% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 10 Β· π 69 Β· π 76 - 9% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 2.8K / month Β· π¦ 3 Β· β±οΈ 23.09.2020):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 2.5K / month Β· π¦ 3 Β· β±οΈ 23.09.2020):
```
pip install ngt
```
N2 (π₯19 Β· β 450) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2
-- [GitHub](https://github.com/kakao/n2) (π¨βπ» 17 Β· π 51 Β· π¦ 12 Β· π 39 - 43% open Β· β±οΈ 21.10.2020):
+- [GitHub](https://github.com/kakao/n2) (π¨βπ» 17 Β· π 52 Β· π¦ 12 Β· π 39 - 43% open Β· β±οΈ 21.10.2020):
```
git clone https://github.com/kakao/n2
```
-- [PyPi](https://pypi.org/project/n2) (π₯ 340 / month Β· π¦ 2 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/n2) (π₯ 290 / month Β· π¦ 2 Β· β±οΈ 16.10.2020):
```
pip install n2
```
@@ -8042,84 +8104,84 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯32 Β· β 5.5K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc3) (π¨βπ» 300 Β· π 1.3K Β· π₯ 140 Β· π¦ 2K Β· π 2.1K - 7% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pymc-devs/pymc3) (π¨βπ» 300 Β· π 1.3K Β· π₯ 150 Β· π¦ 2K Β· π 2.1K - 6% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pymc-devs/pymc3
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 110K / month Β· π¦ 290 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 100K / month Β· π¦ 290 Β· β±οΈ 21.01.2021):
```
pip install pymc3
```
-- [Conda](https://anaconda.org/conda-forge/pymc3) (π₯ 240K Β· β±οΈ 07.12.2020):
+- [Conda](https://anaconda.org/conda-forge/pymc3) (π₯ 240K Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge pymc3
```
tensorflow-probability (π₯31 Β· β 3.2K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 400 Β· π 840 Β· π¦ 1 Β· π 940 - 44% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 400 Β· π 850 Β· π¦ 1 Β· π 950 - 45% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 300K / month Β· π¦ 250 Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 290K / month Β· π¦ 250 Β· β±οΈ 29.12.2020):
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 29K Β· β±οΈ 13.03.2020):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 30K Β· β±οΈ 13.03.2020):
```
conda install -c conda-forge tensorflow-probability
```
hmmlearn (π₯29 Β· β 2.2K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
-- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 31 Β· π 600 Β· π¦ 860 Β· π 340 - 18% open Β· β±οΈ 28.12.2020):
+- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 32 Β· π 600 Β· π¦ 860 Β· π 340 - 19% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 110K / month Β· π¦ 210 Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 99K / month Β· π¦ 210 Β· β±οΈ 12.09.2020):
```
pip install hmmlearn
```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 58K Β· β±οΈ 01.11.2020):
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 59K Β· β±οΈ 22.01.2021):
```
conda install -c conda-forge hmmlearn
```
GPyTorch (π₯28 Β· β 2.3K) - A highly efficient and modular implementation of Gaussian Processes.. MIT
+Pyro (π₯28 Β· β 6.7K Β· π) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 66 Β· π 320 Β· π¦ 190 Β· π 840 - 25% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 100 Β· π 780 Β· π¦ 370 Β· π 810 - 16% open Β· β±οΈ 26.01.2021):
```
- git clone https://github.com/cornellius-gp/gpytorch
+ git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 30K / month Β· π¦ 8 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 8.8K / month Β· π¦ 36 Β· β±οΈ 17.11.2020):
```
- pip install gpytorch
+ pip install pyro-ppl
```
Pyro (π₯27 Β· β 6.7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
+GPyTorch (π₯28 Β· β 2.3K) - A highly efficient and modular implementation of Gaussian Processes.. MIT
-- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 100 Β· π 780 Β· π¦ 360 Β· π 810 - 16% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 66 Β· π 320 Β· π¦ 190 Β· π 840 - 24% open Β· β±οΈ 22.01.2021):
```
- git clone https://github.com/pyro-ppl/pyro
+ git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 6.1K / month Β· π¦ 36 Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 27K / month Β· π¦ 8 Β· β±οΈ 19.01.2021):
```
- pip install pyro-ppl
+ pip install gpytorch
```
filterpy (π₯27 Β· β 1.6K) - Python Kalman filtering and optimal estimation library. Implements.. MIT
+filterpy (π₯27 Β· β 1.7K) - Python Kalman filtering and optimal estimation library. Implements.. MIT
-- [GitHub](https://github.com/rlabbe/filterpy) (π¨βπ» 33 Β· π 400 Β· π¦ 690 Β· π 170 - 12% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/rlabbe/filterpy) (π¨βπ» 33 Β· π 400 Β· π¦ 700 Β· π 170 - 12% open Β· β±οΈ 04.01.2021):
```
git clone https://github.com/rlabbe/filterpy
```
-- [PyPi](https://pypi.org/project/filterpy) (π₯ 15K / month Β· π¦ 210 Β· β±οΈ 10.10.2018):
+- [PyPi](https://pypi.org/project/filterpy) (π₯ 16K / month Β· π¦ 210 Β· β±οΈ 10.10.2018):
```
pip install filterpy
```
@@ -8146,28 +8208,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pomegranate (π₯26 Β· β 2.6K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 61 Β· π 460 Β· π¦ 380 Β· π 570 - 5% open Β· β±οΈ 09.01.2021):
+- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 61 Β· π 460 Β· π¦ 390 Β· π 570 - 5% open Β· β±οΈ 09.01.2021):
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 20K / month Β· π¦ 56 Β· β±οΈ 09.01.2021):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 18K / month Β· π¦ 56 Β· β±οΈ 09.01.2021):
```
pip install pomegranate
```
-- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 42K Β· β±οΈ 01.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 43K Β· β±οΈ 01.11.2020):
```
conda install -c conda-forge pomegranate
```
pgmpy (π₯25 Β· β 1.7K) - Python Library for learning (Structure and Parameter) and inference.. MIT
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 88 Β· π 560 Β· π₯ 50 Β· π¦ 180 Β· π 720 - 31% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 88 Β· π 560 Β· π₯ 52 Β· π¦ 180 Β· π 720 - 31% open Β· β±οΈ 10.01.2021):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 22K / month Β· π¦ 12 Β· β±οΈ 30.12.2020):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 19K / month Β· π¦ 12 Β· β±οΈ 30.12.2020):
```
pip install pgmpy
```
@@ -8179,7 +8241,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 12K / month Β· π¦ 44 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/salib) (π₯ 11K / month Β· π¦ 44 Β· β±οΈ 19.11.2020):
```
pip install salib
```
@@ -8188,28 +8250,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge salib
```
bambi (π₯20 Β· β 540) - BAyesian Model-Building Interface (Bambi) in Python. MIT
+scikit-posthocs (π₯21 Β· β 170) - Pairwise Multiple Comparisons (Post Hoc) Tests in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 15 Β· π 50 Β· π¦ 8 Β· π 150 - 16% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 7 Β· π 18 Β· π₯ 16 Β· π¦ 100 Β· π 35 - 8% open Β· β±οΈ 19.10.2020):
```
- git clone https://github.com/bambinos/bambi
+ git clone https://github.com/maximtrp/scikit-posthocs
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 190 / month Β· π¦ 3 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 8.2K / month Β· π¦ 3 Β· β±οΈ 12.10.2020):
```
- pip install bambi
+ pip install scikit-posthocs
```
scikit-posthocs (π₯20 Β· β 170) - Pairwise Multiple Comparisons (Post Hoc) Tests in Python. MIT
+bambi (π₯20 Β· β 540) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 7 Β· π 18 Β· π₯ 16 Β· π¦ 100 Β· π 35 - 8% open Β· β±οΈ 19.10.2020):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 15 Β· π 50 Β· π¦ 9 Β· π 150 - 16% open Β· β±οΈ 26.01.2021):
```
- git clone https://github.com/maximtrp/scikit-posthocs
+ git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 6.9K / month Β· π¦ 3 Β· β±οΈ 12.10.2020):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 190 / month Β· π¦ 3 Β· β±οΈ 17.12.2020):
```
- pip install scikit-posthocs
+ pip install bambi
```
pyhsmm (π₯18 Β· β 480) - Bayesian inference in HSMMs and HMMs. MIT
@@ -8219,43 +8281,43 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/mattjj/pyhsmm
```
-- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 47 / month Β· π¦ 4 Β· β±οΈ 10.05.2017):
+- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 34 / month Β· π¦ 4 Β· β±οΈ 10.05.2017):
```
pip install pyhsmm
```
Funsor (π₯18 Β· β 160) - Functional tensors for probabilistic programming. Apache-2
-- [GitHub](https://github.com/pyro-ppl/funsor) (π¨βπ» 9 Β· π 15 Β· π¦ 7 Β· π 110 - 49% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/pyro-ppl/funsor) (π¨βπ» 9 Β· π 15 Β· π¦ 9 Β· π 130 - 53% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pyro-ppl/funsor
```
-- [PyPi](https://pypi.org/project/funsor) (π₯ 200 / month Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/funsor) (π₯ 250 / month Β· β±οΈ 24.01.2021):
```
pip install funsor
```
Baal (π₯17 Β· β 310) - Using approximate bayesian posteriors in deep nets for active learning. Apache-2
-- [GitHub](https://github.com/ElementAI/baal) (π¨βπ» 8 Β· π 24 Β· π¦ 6 Β· π 34 - 35% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/ElementAI/baal) (π¨βπ» 8 Β· π 25 Β· π¦ 6 Β· π 35 - 34% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/ElementAI/baal
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 110 / month Β· β±οΈ 03.11.2020):
+- [PyPi](https://pypi.org/project/baal) (π₯ 130 / month Β· β±οΈ 03.11.2020):
```
pip install baal
```
Orbit (π₯17 Β· β 300) - Bayesian forecasting with object-oriented design and probabilistic.. Apache-2
+Orbit (π₯17 Β· β 310) - Bayesian forecasting with object-oriented design and probabilistic.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 7 Β· π 14 Β· π¦ 3 Β· π 160 - 13% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 7 Β· π 15 Β· π¦ 3 Β· π 170 - 13% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 86 / month Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 93 / month Β· β±οΈ 15.11.2020):
```
pip install orbit-ml
```
@@ -8265,7 +8327,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
- PyStan (π₯27 Β· β 910) - PyStan, the Python interface to Stan. βοΈGPL-3.0
- patsy (π₯27 Β· β 730 Β· π) - Describing statistical models in Python using symbolic formulas. BSD-2
- Edward (π₯24 Β· β 4.6K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 βοΈGPL-3.0
+- pingouin (π₯22 Β· β 630) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- ZhuSuan (π₯14 Β· β 2K Β· π) - A probabilistic programming library for Bayesian deep learning,.. MIT
@@ -8276,26 +8338,26 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
_Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
-CleverHans (π₯25 Β· β 4.9K) - An adversarial example library for constructing attacks,.. MIT
+CleverHans (π₯27 Β· β 4.9K Β· π) - An adversarial example library for constructing attacks,.. MIT
-- [GitHub](https://github.com/cleverhans-lab/cleverhans) (π¨βπ» 110 Β· π 1.2K Β· π¦ 180 Β· π 490 - 15% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/cleverhans-lab/cleverhans) (π¨βπ» 110 Β· π 1.2K Β· π¦ 180 Β· π 490 - 15% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/cleverhans-lab/cleverhans
```
-- [PyPi](https://pypi.org/project/cleverhans) (π₯ 510 / month Β· π¦ 8 Β· β±οΈ 27.11.2018):
+- [PyPi](https://pypi.org/project/cleverhans) (π₯ 500 / month Β· π¦ 8 Β· β±οΈ 27.11.2018):
```
pip install cleverhans
```
Foolbox (π₯25 Β· β 1.8K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT
+Foolbox (π₯25 Β· β 1.8K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT
- [GitHub](https://github.com/bethgelab/foolbox) (π¨βπ» 30 Β· π 310 Β· π¦ 160 Β· π 300 - 13% open Β· β±οΈ 20.12.2020):
```
git clone https://github.com/bethgelab/foolbox
```
-- [PyPi](https://pypi.org/project/foolbox) (π₯ 920 / month Β· π¦ 18 Β· β±οΈ 26.09.2020):
+- [PyPi](https://pypi.org/project/foolbox) (π₯ 930 / month Β· π¦ 18 Β· β±οΈ 26.09.2020):
```
pip install foolbox
```
@@ -8314,12 +8376,12 @@ _Libraries for testing the robustness of machine learning models against attacks
TextAttack (π₯23 Β· β 1.2K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
-- [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 31 Β· π 130 Β· π¦ 15 Β· π 110 - 22% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 31 Β· π 130 Β· π¦ 16 Β· π 110 - 24% open Β· β±οΈ 15.01.2021):
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 750 / month Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 730 / month Β· β±οΈ 27.12.2020):
```
pip install textattack
```
@@ -8331,7 +8393,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/MadryLab/robustness
```
-- [PyPi](https://pypi.org/project/robustness) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 05.08.2020):
+- [PyPi](https://pypi.org/project/robustness) (π₯ 230 / month Β· π¦ 1 Β· β±οΈ 05.08.2020):
```
pip install robustness
```
@@ -8350,7 +8412,7 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 2 hidden projects...
-- advertorch (π₯17 Β· β 790 Β· π€) - A Toolbox for Adversarial Robustness Research. βοΈGPL-3.0 βοΈGPL-3.0 MIT
@@ -8363,72 +8425,72 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
CuPy (π₯30 Β· β 4.8K) - A NumPy-compatible array library accelerated by CUDA. MIT
-- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 250 Β· π 430 Β· π₯ 5.8K Β· π¦ 640 Β· π 1.2K - 29% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 250 Β· π 430 Β· π₯ 6.5K Β· π¦ 650 Β· π 1.2K - 29% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/cupy/cupy
```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 6.8K / month Β· π¦ 190 Β· β±οΈ 25.12.2020):
+- [PyPi](https://pypi.org/project/cupy) (π₯ 7.2K / month Β· π¦ 190 Β· β±οΈ 28.01.2021):
```
pip install cupy
```
-- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 340K Β· β±οΈ 21.01.2021):
+- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 340K Β· β±οΈ 28.01.2021):
```
conda install -c conda-forge cupy
```
-- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 48K Β· β 6 Β· β±οΈ 21.01.2021):
+- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 48K Β· β 6 Β· β±οΈ 28.01.2021):
```
docker pull cupy/cupy
```
PyCUDA (π₯27 Β· β 1.1K) - CUDA integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 68 Β· π 210 Β· π¦ 710 Β· π 160 - 24% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 68 Β· π 210 Β· π¦ 720 Β· π 160 - 25% open Β· β±οΈ 04.01.2021):
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 12K / month Β· π¦ 290 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 11K / month Β· π¦ 290 Β· β±οΈ 07.10.2020):
```
pip install pycuda
```
gpustat (π₯26 Β· β 2.2K) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 10 Β· π 180 Β· π¦ 580 Β· π 67 - 29% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 10 Β· π 180 Β· π¦ 590 Β· π 67 - 29% open Β· β±οΈ 13.01.2021):
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 130K / month Β· π¦ 58 Β· β±οΈ 02.01.2021):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 140K / month Β· π¦ 58 Β· β±οΈ 02.01.2021):
```
pip install gpustat
```
-- [Conda](https://anaconda.org/conda-forge/gpustat) (π₯ 10K Β· β±οΈ 24.11.2020):
+- [Conda](https://anaconda.org/conda-forge/gpustat) (π₯ 12K Β· β±οΈ 24.11.2020):
```
conda install -c conda-forge gpustat
```
Apex (π₯23 Β· β 5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 77 Β· π 660 Β· π¦ 430 Β· π 780 - 54% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 77 Β· π 660 Β· π¦ 440 Β· π 790 - 54% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/NVIDIA/apex
```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 29K Β· β±οΈ 23.11.2020):
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 30K Β· β±οΈ 23.11.2020):
```
conda install -c conda-forge nvidia-apex
```
ArrayFire (π₯22 Β· β 3.3K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 80 Β· π 450 Β· π₯ 610 Β· π 1.5K - 17% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 80 Β· π 450 Β· π₯ 630 Β· π 1.5K - 17% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 570 / month Β· π¦ 2 Β· β±οΈ 18.10.2018):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 520 / month Β· π¦ 2 Β· β±οΈ 18.10.2018):
```
pip install arrayfire
```
@@ -8440,7 +8502,7 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
```
git clone https://github.com/fbcotter/py3nvml
```
-- [PyPi](https://pypi.org/project/py3nvml) (π₯ 88K / month Β· π¦ 20 Β· β±οΈ 06.04.2020):
+- [PyPi](https://pypi.org/project/py3nvml) (π₯ 71K / month Β· π¦ 20 Β· β±οΈ 06.04.2020):
```
pip install py3nvml
```
@@ -8451,31 +8513,31 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
cuDF (π₯21 Β· β 3.6K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 200 Β· π 470 Β· π 3.3K - 17% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 200 Β· π 480 Β· π 3.3K - 17% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 600 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 510 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
scikit-cuda (π₯21 Β· β 790) - Python interface to GPU-powered libraries. BSD-3
+scikit-cuda (π₯21 Β· β 800) - Python interface to GPU-powered libraries. BSD-3
-- [GitHub](https://github.com/lebedov/scikit-cuda) (π¨βπ» 44 Β· π 160 Β· π¦ 110 Β· π 200 - 18% open Β· β±οΈ 13.07.2020):
+- [GitHub](https://github.com/lebedov/scikit-cuda) (π¨βπ» 44 Β· π 160 Β· π¦ 110 Β· π 200 - 19% open Β· β±οΈ 13.07.2020):
```
git clone https://github.com/lebedov/scikit-cuda
```
-- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 510 / month Β· π¦ 31 Β· β±οΈ 27.05.2019):
+- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 500 / month Β· π¦ 31 Β· β±οΈ 27.05.2019):
```
pip install scikit-cuda
```
DALI (π₯20 Β· β 3K) - A library containing both highly optimized building blocks and an.. Apache-2
+DALI (π₯20 Β· β 3.1K) - A library containing both highly optimized building blocks and an.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 54 Β· π 370 Β· π 780 - 23% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 55 Β· π 370 Β· π 790 - 23% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/NVIDIA/DALI
@@ -8483,19 +8545,19 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
cuML (π₯19 Β· β 1.9K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 120 Β· π 300 Β· π 1.6K - 40% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 120 Β· π 300 Β· π 1.6K - 40% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 280 / month Β· β±οΈ 11.04.2019):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 260 / month Β· β±οΈ 11.04.2019):
```
pip install cuml
```
BlazingSQL (π₯17 Β· β 1.4K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
-- [GitHub](https://github.com/BlazingDB/blazingsql) (π¨βπ» 39 Β· π 130 Β· π 570 - 43% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/BlazingDB/blazingsql) (π¨βπ» 39 Β· π 130 Β· π 570 - 43% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/BlazingDB/blazingsql
@@ -8505,45 +8567,45 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
conda install -c blazingsql blazingsql-protocol
```
cuGraph (π₯16 Β· β 630) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
+cuGraph (π₯16 Β· β 640) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 55 Β· π 140 Β· π 560 - 16% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 58 Β· π 140 Β· π 560 - 16% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 32 / month Β· β±οΈ 04.04.2019):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 28 / month Β· β±οΈ 04.04.2019):
```
pip install cugraph
```
SpeedTorch (π₯16 Β· β 590 Β· π€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT
+SpeedTorch (π₯16 Β· β 600 Β· π€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT
- [GitHub](https://github.com/Santosh-Gupta/SpeedTorch) (π¨βπ» 3 Β· π 36 Β· π¦ 3 Β· π 5 - 60% open Β· β±οΈ 21.02.2020):
```
git clone https://github.com/Santosh-Gupta/SpeedTorch
```
-- [PyPi](https://pypi.org/project/SpeedTorch) (π₯ 65 / month Β· π¦ 2 Β· β±οΈ 06.01.2020):
+- [PyPi](https://pypi.org/project/SpeedTorch) (π₯ 93 / month Β· π¦ 2 Β· β±οΈ 06.01.2020):
```
pip install SpeedTorch
```
Vulkan Kompute (π₯16 Β· β 290 Β· π£) - General purpose GPU compute framework for cross vendor.. Apache-2
+Vulkan Kompute (π₯16 Β· β 300 Β· π£) - General purpose GPU compute framework for cross vendor.. Apache-2
-- [GitHub](https://github.com/EthicalML/vulkan-kompute) (π¨βπ» 9 Β· π 17 Β· π₯ 29 Β· π¦ 1 Β· π 86 - 48% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/EthicalML/vulkan-kompute) (π¨βπ» 9 Β· π 17 Β· π₯ 29 Β· π¦ 1 Β· π 89 - 49% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/EthicalML/vulkan-kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 100 / month Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/kp) (π₯ 85 / month Β· β±οΈ 11.11.2020):
```
pip install kp
```
cuSignal (π₯15 Β· β 440) - GPU accelerated signal processing. Apache-2
-- [GitHub](https://github.com/rapidsai/cusignal) (π¨βπ» 28 Β· π 57 Β· π 98 - 17% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/rapidsai/cusignal) (π¨βπ» 28 Β· π 57 Β· π 99 - 17% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/rapidsai/cusignal
@@ -8570,19 +8632,19 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/tensor2tensor
```
-- [PyPi](https://pypi.org/project/tensor2tensor) (π₯ 75K / month Β· π¦ 82 Β· β±οΈ 17.06.2020):
+- [PyPi](https://pypi.org/project/tensor2tensor) (π₯ 76K / month Β· π¦ 82 Β· β±οΈ 17.06.2020):
```
pip install tensor2tensor
```
tensorflow-hub (π₯32 Β· β 2.7K) - A library for transfer learning by reusing parts of.. Apache-2
-- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 67 Β· π 1.4K Β· π¦ 5.1K Β· π 540 - 8% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 67 Β· π 1.4K Β· π¦ 5.2K Β· π 550 - 8% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/hub
```
-- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 730K / month Β· π¦ 310 Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 670K / month Β· π¦ 310 Β· β±οΈ 06.01.2021):
```
pip install tensorflow-hub
```
@@ -8593,103 +8655,103 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Addons (π₯30 Β· β 1.2K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
-- [GitHub](https://github.com/tensorflow/addons) (π¨βπ» 140 Β· π 420 Β· π¦ 2K Β· π 780 - 21% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/addons) (π¨βπ» 150 Β· π 420 Β· π¦ 2.1K Β· π 790 - 21% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/tensorflow/addons
```
-- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 210K / month Β· π¦ 18 Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 190K / month Β· π¦ 18 Β· β±οΈ 23.12.2020):
```
pip install tensorflow-addons
```
TensorFlow Transform (π₯29 Β· β 850) - Input pipeline framework. Apache-2
-- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 27 Β· π 160 Β· π¦ 400 Β· π 150 - 22% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 27 Β· π 160 Β· π¦ 400 Β· π 150 - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 6.5M / month Β· π¦ 84 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 5.6M / month Β· π¦ 84 Β· β±οΈ 16.12.2020):
```
pip install tensorflow-transform
```
efficientnet (π₯26 Β· β 1.7K) - Implementation of EfficientNet model. Keras and.. Apache-2
-- [GitHub](https://github.com/qubvel/efficientnet) (π¨βπ» 8 Β· π 380 Β· π₯ 140K Β· π¦ 490 Β· π 100 - 47% open Β· β±οΈ 15.09.2020):
+- [GitHub](https://github.com/qubvel/efficientnet) (π¨βπ» 8 Β· π 380 Β· π₯ 150K Β· π¦ 490 Β· π 100 - 47% open Β· β±οΈ 15.09.2020):
```
git clone https://github.com/qubvel/efficientnet
```
-- [PyPi](https://pypi.org/project/efficientnet) (π₯ 72K / month Β· π¦ 2 Β· β±οΈ 15.09.2020):
+- [PyPi](https://pypi.org/project/efficientnet) (π₯ 59K / month Β· π¦ 2 Β· β±οΈ 15.09.2020):
```
pip install efficientnet
```
TF Model Optimization (π₯26 Β· β 950) - A toolkit to optimize ML models for deployment for.. Apache-2
+TF Model Optimization (π₯26 Β· β 960) - A toolkit to optimize ML models for deployment for.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 43 Β· π 210 Β· π¦ 540 Β· π 160 - 44% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 43 Β· π 210 Β· π¦ 550 Β· π 160 - 43% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 52K / month Β· π¦ 3 Β· β±οΈ 14.09.2020):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 46K / month Β· π¦ 3 Β· β±οΈ 14.09.2020):
```
pip install tensorflow-model-optimization
```
TensorFlow I/O (π₯25 Β· β 410) - Dataset, streaming, and file system extensions.. Apache-2
-- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 72 Β· π 140 Β· π¦ 94 Β· π 380 - 28% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 72 Β· π 150 Β· π¦ 98 Β· π 390 - 29% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 47K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 34K / month Β· β±οΈ 15.12.2020):
```
pip install tensorflow-io
```
TensorFlow Cloud (π₯23 Β· β 220) - The TensorFlow Cloud repository provides APIs that.. Apache-2
-- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 16 Β· π 43 Β· π¦ 17 Β· π 71 - 64% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 16 Β· π 44 Β· π¦ 19 Β· π 71 - 64% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 92K / month Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 82K / month Β· β±οΈ 06.01.2021):
```
pip install tensorflow-cloud
```
Neural Structured Learning (π₯22 Β· β 770) - Training neural models with structured signals. Apache-2
-- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 26 Β· π 140 Β· π¦ 23 Β· π 43 - 11% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 26 Β· π 140 Β· π¦ 25 Β· π 43 - 9% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 2.1K / month Β· β±οΈ 18.08.2020):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 2K / month Β· β±οΈ 18.08.2020):
```
pip install neural-structured-learning
```
TensorNets (π₯20 Β· β 970) - High level network definitions with pre-trained weights in.. MIT
+TensorNets (π₯20 Β· β 980) - High level network definitions with pre-trained weights in.. MIT
- [GitHub](https://github.com/taehoonlee/tensornets) (π¨βπ» 6 Β· π 180 Β· π¦ 30 Β· π 56 - 25% open Β· β±οΈ 02.01.2021):
```
git clone https://github.com/taehoonlee/tensornets
```
-- [PyPi](https://pypi.org/project/tensornets) (π₯ 270 / month Β· π¦ 2 Β· β±οΈ 31.03.2020):
+- [PyPi](https://pypi.org/project/tensornets) (π₯ 210 / month Β· π¦ 2 Β· β±οΈ 31.03.2020):
```
pip install tensornets
```
tffm (π₯19 Β· β 760 Β· π€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT
-- [GitHub](https://github.com/geffy/tffm) (π¨βπ» 10 Β· π 170 Β· π¦ 9 Β· π 37 - 45% open Β· β±οΈ 22.05.2020):
+- [GitHub](https://github.com/geffy/tffm) (π¨βπ» 10 Β· π 170 Β· π¦ 10 Β· π 37 - 45% open Β· β±οΈ 22.05.2020):
```
git clone https://github.com/geffy/tffm
@@ -8699,21 +8761,21 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install tffm
```
TF Compression (π₯17 Β· β 420) - Data compression in TensorFlow. Apache-2
+TF Compression (π₯17 Β· β 430) - Data compression in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 9 Β· π 150 Β· π 55 - 1% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 9 Β· π 150 Β· π 57 - 1% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 380 / month Β· π¦ 1 Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 310 / month Β· π¦ 1 Β· β±οΈ 06.01.2021):
```
pip install tensorflow-compression
```
Saliency (π₯16 Β· β 620) - TensorFlow implementation for SmoothGrad, Grad-CAM, Guided.. Apache-2
+Saliency (π₯16 Β· β 630) - TensorFlow implementation for SmoothGrad, Grad-CAM, Guided.. Apache-2
-- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 12 Β· π 130 Β· π¦ 13 Β· π 21 - 52% open Β· β±οΈ 01.10.2020):
+- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 12 Β· π 140 Β· π¦ 13 Β· π 21 - 52% open Β· β±οΈ 01.10.2020):
```
git clone https://github.com/PAIR-code/saliency
@@ -8733,12 +8795,12 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (π₯30 Β· β 5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 51 Β· π 1.1K Β· π¦ 3.8K Β· π 450 - 10% open Β· β±οΈ 03.11.2020):
+- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 51 Β· π 1.1K Β· π¦ 3.9K Β· π 450 - 10% open Β· β±οΈ 03.11.2020):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 630K / month Β· π¦ 280 Β· β±οΈ 09.06.2020):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 520K / month Β· π¦ 280 Β· β±οΈ 09.06.2020):
```
pip install imbalanced-learn
```
@@ -8754,7 +8816,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 170K / month Β· π¦ 190 Β· β±οΈ 26.11.2020):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 140K / month Β· π¦ 190 Β· β±οΈ 26.11.2020):
```
pip install mlxtend
```
@@ -8765,12 +8827,12 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (π₯25 Β· β 1.6K) - A library of sklearn compatible categorical variable.. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 34 Β· π 290 Β· π 200 - 32% open Β· β±οΈ 31.07.2020):
+- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 35 Β· π 290 Β· π 200 - 32% open Β· β±οΈ 31.07.2020):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 180K / month Β· π¦ 23 Β· β±οΈ 14.10.2018):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 160K / month Β· π¦ 23 Β· β±οΈ 14.10.2018):
```
pip install category_encoders
```
@@ -8779,14 +8841,14 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge category_encoders
```
combo (π₯24 Β· β 470) - A Python Toolbox for Machine Learning Model Combination. BSD-2 xgboost
+combo (π₯24 Β· β 470) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost
-- [GitHub](https://github.com/yzhao062/combo) (π¨βπ» 1 Β· π 81 Β· π¦ 260 Β· π 10 - 70% open Β· β±οΈ 23.12.2020):
+- [GitHub](https://github.com/yzhao062/combo) (π¨βπ» 1 Β· π 82 Β· π¦ 260 Β· π 10 - 70% open Β· β±οΈ 23.12.2020):
```
git clone https://github.com/yzhao062/combo
```
-- [PyPi](https://pypi.org/project/combo) (π₯ 73K / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/combo) (π₯ 63K / month Β· β±οΈ 23.12.2020):
```
pip install combo
```
@@ -8798,7 +8860,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/lightning
```
-- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (π₯ 340 / month Β· π¦ 5 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (π₯ 360 / month Β· π¦ 5 Β· β±οΈ 16.12.2020):
```
pip install sklearn-contrib-lightning
```
@@ -8807,54 +8869,54 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge sklearn-contrib-lightning
```
scikit-opt (π₯22 Β· β 1.8K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
+scikit-opt (π₯22 Β· β 1.9K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 8 Β· π 440 Β· π¦ 25 Β· π 83 - 25% open Β· β±οΈ 07.01.2021):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 8 Β· π 450 Β· π¦ 25 Β· π 85 - 27% open Β· β±οΈ 07.01.2021):
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 880 / month Β· π¦ 3 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 610 / month Β· π¦ 3 Β· β±οΈ 20.11.2020):
```
pip install scikit-opt
```
fancyimpute (π₯22 Β· β 910) - Multivariate imputation and matrix completion algorithms.. Apache-2
+fancyimpute (π₯22 Β· β 920) - Multivariate imputation and matrix completion algorithms.. Apache-2
-- [GitHub](https://github.com/iskandr/fancyimpute) (π¨βπ» 11 Β· π 140 Β· π¦ 640 Β· π 110 - 3% open Β· β±οΈ 27.08.2020):
+- [GitHub](https://github.com/iskandr/fancyimpute) (π¨βπ» 11 Β· π 140 Β· π¦ 670 Β· π 110 - 3% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/iskandr/fancyimpute
```
-- [PyPi](https://pypi.org/project/fancyimpute) (π₯ 4.4K / month Β· π¦ 21 Β· β±οΈ 16.07.2020):
+- [PyPi](https://pypi.org/project/fancyimpute) (π₯ 6.6K / month Β· π¦ 21 Β· β±οΈ 16.07.2020):
```
pip install fancyimpute
```
scikit-lego (π₯22 Β· β 390) - Extra blocks for scikit-learn pipelines. MIT
+scikit-lego (π₯22 Β· β 400) - Extra blocks for scikit-learn pipelines. MIT
-- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 38 Β· π 64 Β· π¦ 15 Β· π 200 - 9% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 38 Β· π 66 Β· π¦ 15 Β· π 200 - 10% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 900 / month Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 830 / month Β· β±οΈ 04.01.2021):
```
pip install scikit-lego
```
-- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 7.6K Β· β±οΈ 02.11.2020):
+- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 7.7K Β· β±οΈ 02.11.2020):
```
conda install -c conda-forge scikit-lego
```
iterative-stratification (π₯19 Β· β 490) - scikit-learn cross validators for iterative.. BSD-3
-- [GitHub](https://github.com/trent-b/iterative-stratification) (π¨βπ» 4 Β· π 44 Β· π¦ 99 Β· π 11 - 9% open Β· β±οΈ 12.09.2020):
+- [GitHub](https://github.com/trent-b/iterative-stratification) (π¨βπ» 4 Β· π 44 Β· π¦ 100 Β· π 11 - 9% open Β· β±οΈ 12.09.2020):
```
git clone https://github.com/trent-b/iterative-stratification
```
-- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 2.8K / month Β· β±οΈ 12.08.2018):
+- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 3K / month Β· β±οΈ 12.08.2018):
```
pip install iterative-stratification
```
@@ -8866,19 +8928,19 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 4.3K / month Β· β±οΈ 09.01.2021):
+- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 3.5K / month Β· β±οΈ 09.01.2021):
```
pip install scikit-tda
```
DESlib (π₯17 Β· β 290) - A Python library for dynamic classifier and ensemble selection. BSD-3
+DESlib (π₯17 Β· β 300) - A Python library for dynamic classifier and ensemble selection. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 12 Β· π 66 Β· π¦ 13 Β· π 130 - 9% open Β· β±οΈ 01.01.2021):
+- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 12 Β· π 66 Β· π¦ 13 Β· π 140 - 10% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 120 / month Β· β±οΈ 18.02.2019):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 110 / month Β· β±οΈ 18.02.2019):
```
pip install deslib
```
@@ -8890,7 +8952,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/skggm/skggm
```
-- [PyPi](https://pypi.org/project/skggm) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 12.09.2018):
+- [PyPi](https://pypi.org/project/skggm) (π₯ 130 / month Β· π¦ 1 Β· β±οΈ 12.09.2018):
```
pip install skggm
```
@@ -8900,8 +8962,8 @@ _Libraries that extend scikit-learn with additional capabilities._
- sklearn-crfsuite (π₯24 Β· β 360 Β· π) - scikit-learn inspired API for CRFsuite. MIT BSD-2 βοΈBSD-1-Clause BSD-3 BSD-3 BSD-3 BSD-3
@@ -8911,38 +8973,50 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-pretrainedmodels (π₯27 Β· β 7.6K Β· π€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3
+pretrainedmodels (π₯27 Β· β 7.7K Β· π€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3
-- [GitHub](https://github.com/Cadene/pretrained-models.pytorch) (π¨βπ» 22 Β· π 1.6K Β· π¦ 840 Β· π 170 - 49% open Β· β±οΈ 16.04.2020):
+- [GitHub](https://github.com/Cadene/pretrained-models.pytorch) (π¨βπ» 22 Β· π 1.6K Β· π¦ 850 Β· π 170 - 49% open Β· β±οΈ 16.04.2020):
```
git clone https://github.com/Cadene/pretrained-models.pytorch
```
-- [PyPi](https://pypi.org/project/pretrainedmodels) (π₯ 30K / month Β· π¦ 100 Β· β±οΈ 29.10.2018):
+- [PyPi](https://pypi.org/project/pretrainedmodels) (π₯ 34K / month Β· π¦ 100 Β· β±οΈ 29.10.2018):
```
pip install pretrainedmodels
```
pytorch-optimizer (π₯25 Β· β 1.6K) - torch-optimizer -- collection of optimizers for.. Apache-2
+pytorch-optimizer (π₯25 Β· β 1.7K) - torch-optimizer -- collection of optimizers for.. Apache-2
-- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 19 Β· π 150 Β· π¦ 100 Β· π 33 - 30% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 19 Β· π 150 Β· π¦ 110 Β· π 33 - 30% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/jettify/pytorch-optimizer
```
-- [PyPi](https://pypi.org/project/torch_optimizer) (π₯ 11K / month Β· β±οΈ 01.01.2021):
+- [PyPi](https://pypi.org/project/torch_optimizer) (π₯ 10K / month Β· β±οΈ 01.01.2021):
```
pip install torch_optimizer
```
EfficientNet-PyTorch (π₯24 Β· β 5.4K) - A PyTorch implementation of EfficientNet. Apache-2
+
+- [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (π¨βπ» 21 Β· π 1.1K Β· π₯ 310K Β· π 230 - 48% open Β· β±οΈ 09.10.2020):
+
+ ```
+ git clone https://github.com/lukemelas/EfficientNet-PyTorch
+ ```
+- [PyPi](https://pypi.org/project/efficientnet-pytorch) (π₯ 27K / month Β· π¦ 14 Β· β±οΈ 26.08.2020):
+ ```
+ pip install efficientnet-pytorch
+ ```
+torchdiffeq (π₯24 Β· β 3.3K) - Differentiable ODE solvers with full GPU support and.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 19 Β· π 570 Β· π¦ 57 Β· π 120 - 11% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 19 Β· π 570 Β· π¦ 59 Β· π 120 - 12% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/rtqichen/torchdiffeq
```
-- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 2K / month Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 1.9K / month Β· β±οΈ 19.01.2021):
```
pip install torchdiffeq
```
@@ -8961,64 +9035,52 @@ _Libraries that extend Pytorch with additional capabilities._
PML (π₯24 Β· β 2.7K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
-- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 12 Β· π 360 Β· π¦ 46 Β· π 200 - 15% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 12 Β· π 360 Β· π¦ 47 Β· π 210 - 15% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 3.5K / month Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 3.1K / month Β· β±οΈ 21.01.2021):
```
pip install pytorch-metric-learning
```
-- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (π₯ 1.1K Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (π₯ 1.2K Β· β±οΈ 12.01.2021):
```
conda install -c metric-learning pytorch-metric-learning
```
SRU (π₯24 Β· β 1.9K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT
-- [GitHub](https://github.com/asappresearch/sru) (π¨βπ» 21 Β· π 280 Β· π¦ 15 Β· π 100 - 47% open Β· β±οΈ 17.12.2020):
+- [GitHub](https://github.com/asappresearch/sru) (π¨βπ» 21 Β· π 280 Β· π¦ 15 Β· π 100 - 48% open Β· β±οΈ 17.12.2020):
```
git clone https://github.com/asappresearch/sru
```
-- [PyPi](https://pypi.org/project/sru) (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/sru) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 22.01.2021):
```
pip install sru
```
EfficientNet-PyTorch (π₯23 Β· β 5.4K) - A PyTorch implementation of EfficientNet. Apache-2
-
-- [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (π¨βπ» 21 Β· π 1K Β· π₯ 300K Β· π 220 - 47% open Β· β±οΈ 09.10.2020):
-
- ```
- git clone https://github.com/lukemelas/EfficientNet-PyTorch
- ```
-- [PyPi](https://pypi.org/project/efficientnet-pytorch) (π₯ 29K / month Β· π¦ 7 Β· β±οΈ 26.08.2020):
- ```
- pip install efficientnet-pytorch
- ```
-EfficientNets (π₯22 Β· β 1.2K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
-- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (π¨βπ» 5 Β· π 170 Β· π¦ 29 Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (π¨βπ» 5 Β· π 170 Β· π¦ 30 Β· β±οΈ 30.11.2020):
```
git clone https://github.com/rwightman/gen-efficientnet-pytorch
```
-- [PyPi](https://pypi.org/project/geffnet) (π₯ 1.4K / month Β· β±οΈ 20.08.2020):
+- [PyPi](https://pypi.org/project/geffnet) (π₯ 1.5K / month Β· β±οΈ 20.08.2020):
```
pip install geffnet
```
Torchmeta (π₯21 Β· β 1.2K) - A collection of extensions and data-loaders for few-shot learning.. MIT
-- [GitHub](https://github.com/tristandeleu/pytorch-meta) (π¨βπ» 10 Β· π 130 Β· π¦ 25 Β· π 88 - 21% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/tristandeleu/pytorch-meta) (π¨βπ» 10 Β· π 130 Β· π¦ 26 Β· π 88 - 21% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/tristandeleu/pytorch-meta
```
-- [PyPi](https://pypi.org/project/torchmeta) (π₯ 440 / month Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/torchmeta) (π₯ 400 / month Β· β±οΈ 25.11.2020):
```
pip install torchmeta
```
@@ -9030,19 +9092,19 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 4.1K / month Β· π¦ 17 Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 3.7K / month Β· π¦ 17 Β· β±οΈ 02.11.2020):
```
pip install torch-sparse
```
reformer-pytorch (π₯20 Β· β 1.3K) - Reformer, the efficient Transformer, in Pytorch. MIT
-- [GitHub](https://github.com/lucidrains/reformer-pytorch) (π¨βπ» 9 Β· π 170 Β· π 93 - 1% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/lucidrains/reformer-pytorch) (π¨βπ» 9 Β· π 160 Β· π 93 - 1% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/lucidrains/reformer-pytorch
```
-- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 940 / month Β· β±οΈ 06.12.2020):
+- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 810 / month Β· β±οΈ 06.12.2020):
```
pip install reformer-pytorch
```
@@ -9054,45 +9116,45 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 4.6K / month Β· π¦ 16 Β· β±οΈ 22.02.2020):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 4K / month Β· π¦ 16 Β· β±οΈ 22.02.2020):
```
pip install torch-scatter
```
Pytorch Toolbelt (π₯19 Β· β 880) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
+Higher (π₯19 Β· β 1K) - higher is a pytorch library allowing users to obtain higher order.. Apache-2
-- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 5 Β· π 71 Β· π 17 - 17% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/facebookresearch/higher) (π¨βπ» 6 Β· π 73 Β· π¦ 29 Β· π 71 - 33% open Β· β±οΈ 28.10.2020):
```
- git clone https://github.com/BloodAxe/pytorch-toolbelt
+ git clone https://github.com/facebookresearch/higher
```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 5.1K / month Β· π¦ 1 Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/higher) (π₯ 1.1K / month Β· β±οΈ 14.07.2020):
```
- pip install pytorch_toolbelt
+ pip install higher
```
TabNet (π₯19 Β· β 740) - PyTorch implementation of TabNet paper :.. MIT
+Pytorch Toolbelt (π₯19 Β· β 880) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
-- [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 17 Β· π 140 Β· π 130 - 24% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 5 Β· π 71 Β· π 17 - 17% open Β· β±οΈ 27.01.2021):
```
- git clone https://github.com/dreamquark-ai/tabnet
+ git clone https://github.com/BloodAxe/pytorch-toolbelt
```
-- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 2.2K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 7.3K / month Β· π¦ 1 Β· β±οΈ 14.01.2021):
```
- pip install pytorch-tabnet
+ pip install pytorch_toolbelt
```
Higher (π₯18 Β· β 1K) - higher is a pytorch library allowing users to obtain higher order.. Apache-2
+TabNet (π₯19 Β· β 760) - PyTorch implementation of TabNet paper :.. MIT
-- [GitHub](https://github.com/facebookresearch/higher) (π¨βπ» 6 Β· π 73 Β· π¦ 28 Β· π 71 - 33% open Β· β±οΈ 28.10.2020):
+- [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 17 Β· π 140 Β· π 130 - 24% open Β· β±οΈ 28.01.2021):
```
- git clone https://github.com/facebookresearch/higher
+ git clone https://github.com/dreamquark-ai/tabnet
```
-- [PyPi](https://pypi.org/project/higher) (π₯ 640 / month Β· β±οΈ 14.07.2020):
+- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 2.1K / month Β· β±οΈ 12.01.2021):
```
- pip install higher
+ pip install pytorch-tabnet
```
Lambda Networks (π₯17 Β· β 1.3K Β· π£) - Implementation of LambdaNetworks, a new approach to.. MIT
@@ -9102,71 +9164,71 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/lucidrains/lambda-networks
```
-- [PyPi](https://pypi.org/project/lambda-networks) (π₯ 1.4K / month Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/lambda-networks) (π₯ 1.3K / month Β· β±οΈ 20.10.2020):
```
pip install lambda-networks
```
Tensor Sensor (π₯16 Β· β 500 Β· π£) - The goal of this library is to generate more helpful.. MIT
+Tensor Sensor (π₯16 Β· β 510 Β· π£) - The goal of this library is to generate more helpful.. MIT
- [GitHub](https://github.com/parrt/tensor-sensor) (π¨βπ» 2 Β· π 24 Β· π¦ 1 Β· π 16 - 25% open Β· β±οΈ 07.01.2021):
```
git clone https://github.com/parrt/tensor-sensor
```
-- [PyPi](https://pypi.org/project/tensor-sensor) (π₯ 210 / month Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/tensor-sensor) (π₯ 160 / month Β· β±οΈ 03.12.2020):
```
pip install tensor-sensor
```
Performer Pytorch (π₯16 Β· β 470 Β· π£) - An implementation of Performer, a linear attention-.. MIT
+Performer Pytorch (π₯16 Β· β 480 Β· π£) - An implementation of Performer, a linear attention-.. MIT
-- [GitHub](https://github.com/lucidrains/performer-pytorch) (π¨βπ» 4 Β· π 60 Β· π¦ 8 Β· π 49 - 34% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/lucidrains/performer-pytorch) (π¨βπ» 4 Β· π 62 Β· π¦ 8 Β· π 49 - 34% open Β· β±οΈ 17.01.2021):
```
git clone https://github.com/lucidrains/performer-pytorch
```
-- [PyPi](https://pypi.org/project/performer-pytorch) (π₯ 690 / month Β· β±οΈ 17.01.2021):
+- [PyPi](https://pypi.org/project/performer-pytorch) (π₯ 760 / month Β· β±οΈ 17.01.2021):
```
pip install performer-pytorch
```
Pywick (π₯16 Β· β 310) - High-level batteries-included neural network training library for.. MIT
+tinygrad (π₯15 Β· β 4K Β· π£) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/achaiah/pywick) (π¨βπ» 4 Β· π 35 Β· π¦ 2 Β· π 11 - 18% open Β· β±οΈ 24.09.2020):
+- [GitHub](https://github.com/geohot/tinygrad) (π¨βπ» 42 Β· π 440 Β· π 76 - 18% open Β· β±οΈ 05.01.2021):
```
- git clone https://github.com/achaiah/pywick
- ```
-- [PyPi](https://pypi.org/project/pywick) (π₯ 180 / month Β· β±οΈ 20.01.2020):
- ```
- pip install pywick
+ git clone https://github.com/geohot/tinygrad
```
tinygrad (π₯15 Β· β 4K Β· π£) - You like pytorch? You like micrograd? You love tinygrad!. MIT
+torchsde (π₯15 Β· β 640 Β· π£) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
-- [GitHub](https://github.com/geohot/tinygrad) (π¨βπ» 42 Β· π 440 Β· π 74 - 17% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 4 Β· π 55 Β· π 32 - 18% open Β· β±οΈ 05.01.2021):
```
- git clone https://github.com/geohot/tinygrad
+ git clone https://github.com/google-research/torchsde
```
torchsde (π₯15 Β· β 630 Β· π£) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
+Pywick (π₯15 Β· β 310) - High-level batteries-included neural network training library for.. MIT
-- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 4 Β· π 55 Β· π 32 - 18% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/achaiah/pywick) (π¨βπ» 4 Β· π 35 Β· π¦ 2 Β· π 11 - 18% open Β· β±οΈ 24.09.2020):
```
- git clone https://github.com/google-research/torchsde
+ git clone https://github.com/achaiah/pywick
+ ```
+- [PyPi](https://pypi.org/project/pywick) (π₯ 140 / month Β· β±οΈ 20.01.2020):
+ ```
+ pip install pywick
```
Tez (π₯14 Β· β 400 Β· π£) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2
+Tez (π₯14 Β· β 410 Β· π£) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2
-- [GitHub](https://github.com/abhishekkrthakur/tez) (π¨βπ» 1 Β· π 48 Β· π 13 - 53% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/abhishekkrthakur/tez) (π¨βπ» 1 Β· π 53 Β· π 14 - 57% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/abhishekkrthakur/tez
```
-- [PyPi](https://pypi.org/project/tez) (π₯ 1.1K / month Β· β±οΈ 26.12.2020):
+- [PyPi](https://pypi.org/project/tez) (π₯ 880 / month Β· β±οΈ 24.01.2021):
```
pip install tez
```
@@ -9178,14 +9240,14 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/karpathy/micrograd
```
-- [PyPi](https://pypi.org/project/micrograd) (π₯ 18 / month Β· β±οΈ 18.04.2020):
+- [PyPi](https://pypi.org/project/micrograd) (π₯ 16 / month Β· β±οΈ 18.04.2020):
```
pip install micrograd
```
Torch-Struct (π₯13 Β· β 880) - Fast, general, and tested differentiable structured prediction.. MIT
-- [GitHub](https://github.com/harvardnlp/pytorch-struct) (π¨βπ» 12 Β· π 69 Β· π 35 - 37% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/harvardnlp/pytorch-struct) (π¨βπ» 12 Β· π 68 Β· π 35 - 37% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/harvardnlp/pytorch-struct
@@ -9205,7 +9267,7 @@ _Libraries that extend Pytorch with additional capabilities._
_Libraries for connecting to, operating, and querying databases._
-π best-of-python - DB Clients ( β 820) - Collection of database clients for python.
+π best-of-python - DB Clients ( β 1.3K) - Collection of database clients for python.
@@ -9213,14 +9275,14 @@ _Libraries for connecting to, operating, and querying databases._
-scipy (π₯40 Β· β 7.8K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
+scipy (π₯40 Β· β 7.9K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.1K Β· π 3.5K Β· π₯ 300K Β· π¦ 290K Β· π 7.3K - 21% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.1K Β· π 3.5K Β· π₯ 310K Β· π¦ 300K Β· π 7.3K - 21% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 13M / month Β· π¦ 87K Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 11M / month Β· π¦ 87K Β· β±οΈ 31.12.2020):
```
pip install scipy
```
@@ -9231,12 +9293,12 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (π₯36 Β· β 7.8K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1K Β· π 3.2K Β· π₯ 410K Β· π¦ 28K Β· π 11K - 35% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1K Β· π 3.3K Β· π₯ 410K Β· π¦ 28K Β· π 11K - 36% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/sympy/sympy
```
-- [PyPi](https://pypi.org/project/sympy) (π₯ 500K / month Β· π¦ 6.4K Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/sympy) (π₯ 480K / month Β· π¦ 6.4K Β· β±οΈ 12.12.2020):
```
pip install sympy
```
@@ -9245,42 +9307,42 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge sympy
```
PyOD (π₯29 Β· β 4.1K) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2
+PyOD (π₯29 Β· β 4.1K) - (JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly.. BSD-2
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 22 Β· π 840 Β· π¦ 460 Β· π 180 - 55% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 22 Β· π 840 Β· π¦ 470 Β· π 180 - 54% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 74K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 64K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
```
pip install pyod
```
Keras-Preprocessing (π₯29 Β· β 900) - Utilities for working with image data, text data, and.. MIT
+Keras-Preprocessing (π₯28 Β· β 900) - Utilities for working with image data, text data, and.. MIT
-- [GitHub](https://github.com/keras-team/keras-preprocessing) (π¨βπ» 48 Β· π 390 Β· π 190 - 48% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/keras-team/keras-preprocessing) (π¨βπ» 49 Β· π 390 Β· π 190 - 48% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/keras-team/keras-preprocessing
```
-- [PyPi](https://pypi.org/project/keras-preprocessing) (π₯ 3.3M / month Β· π¦ 2.7K Β· β±οΈ 14.05.2020):
+- [PyPi](https://pypi.org/project/keras-preprocessing) (π₯ 2.9M / month Β· π¦ 2.7K Β· β±οΈ 14.05.2020):
```
pip install keras-preprocessing
```
-- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (π₯ 770K Β· β±οΈ 15.01.2021):
+- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (π₯ 790K Β· β±οΈ 15.01.2021):
```
conda install -c conda-forge keras-preprocessing
```
Cython BLIS (π₯28 Β· β 160) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
-- [GitHub](https://github.com/explosion/cython-blis) (π¨βπ» 9 Β· π 22 Β· π¦ 7.9K Β· π 21 - 28% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/explosion/cython-blis) (π¨βπ» 9 Β· π 22 Β· π¦ 8K Β· π 21 - 28% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/explosion/cython-blis
```
-- [PyPi](https://pypi.org/project/blis) (π₯ 730K / month Β· π¦ 390 Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/blis) (π₯ 670K / month Β· π¦ 390 Β· β±οΈ 07.12.2020):
```
pip install blis
```
@@ -9291,96 +9353,96 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (π₯27 Β· β 1.8K) - A high performance implementation of HDBSCAN clustering. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 65 Β· π 340 Β· π¦ 710 Β· π 370 - 61% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 66 Β· π 340 Β· π¦ 720 Β· π 370 - 60% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 99K / month Β· π¦ 120 Β· β±οΈ 19.03.2020):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 85K / month Β· π¦ 120 Β· β±οΈ 19.03.2020):
```
pip install hdbscan
```
-- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 510K Β· β±οΈ 02.11.2020):
+- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 520K Β· β±οΈ 02.11.2020):
```
conda install -c conda-forge hdbscan
```
pyopencl (π₯27 Β· β 760) - OpenCL integration for Python, plus shiny features. MIT
+pyopencl (π₯27 Β· β 770) - OpenCL integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 82 Β· π 200 Β· π¦ 450 Β· π 260 - 19% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 83 Β· π 210 Β· π¦ 460 Β· π 260 - 20% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 4.7K / month Β· π¦ 240 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 5.4K / month Β· π¦ 240 Β· β±οΈ 25.01.2021):
```
pip install pyopencl
```
-- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 300K Β· β±οΈ 13.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 300K Β· β±οΈ 27.01.2021):
```
conda install -c conda-forge pyopencl
```
Streamlit (π₯26 Β· β 13K) - Streamlit The fastest way to build data apps in Python. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 85 Β· π 1.1K Β· π¦ 49 Β· π 1.5K - 36% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 87 Β· π 1.1K Β· π¦ 53 Β· π 1.5K - 36% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 100K / month Β· π¦ 34 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 93K / month Β· π¦ 34 Β· β±οΈ 21.01.2021):
```
pip install streamlit
```
carla (π₯26 Β· β 5.5K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 120 Β· π 1.6K Β· π¦ 55 Β· π 2.9K - 9% open Β· β±οΈ 22.12.2020):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 120 Β· π 1.6K Β· π¦ 57 Β· π 3K - 10% open Β· β±οΈ 22.12.2020):
```
git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 460 / month Β· π¦ 2 Β· β±οΈ 28.04.2019):
+- [PyPi](https://pypi.org/project/carla) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 28.04.2019):
```
pip install carla
```
Datasette (π₯26 Β· β 4.6K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 42 Β· π 240 Β· π₯ 24 Β· π¦ 340 Β· π 950 - 22% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 42 Β· π 260 Β· π₯ 26 Β· π¦ 350 Β· π 980 - 23% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 4K / month Β· π¦ 70 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 3.4K / month Β· π¦ 70 Β· β±οΈ 25.01.2021):
```
pip install datasette
```
Pythran (π₯26 Β· β 1.5K Β· π) - Ahead of Time compiler for numeric kernels. BSD-3
+Pythran (π₯26 Β· β 1.5K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 47 Β· π 130 Β· π¦ 48 Β· π 640 - 15% open Β· β±οΈ 06.01.2021):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 48 Β· π 130 Β· π¦ 48 Β· π 640 - 15% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 4.7K / month Β· π¦ 13 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 5.1K / month Β· π¦ 13 Β· β±οΈ 11.12.2020):
```
pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 120K Β· β±οΈ 15.12.2020):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 120K Β· β±οΈ 27.01.2021):
```
conda install -c conda-forge pythran
```
agate (π₯26 Β· β 1K Β· π€) - A Python data analysis library that is optimized for humans instead of.. MIT
-- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 47 Β· π 130 Β· π¦ 480 Β· π 640 - 8% open Β· β±οΈ 01.04.2020):
+- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 47 Β· π 130 Β· π¦ 490 Β· π 640 - 8% open Β· β±οΈ 01.04.2020):
```
git clone https://github.com/wireservice/agate
```
-- [PyPi](https://pypi.org/project/agate) (π₯ 150K / month Β· π¦ 92 Β· β±οΈ 11.03.2018):
+- [PyPi](https://pypi.org/project/agate) (π₯ 160K / month Β· π¦ 92 Β· β±οΈ 11.03.2018):
```
pip install agate
```
@@ -9396,78 +9458,78 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/annoviko/pyclustering
```
-- [PyPi](https://pypi.org/project/pyclustering) (π₯ 17K / month Β· π¦ 36 Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/pyclustering) (π₯ 18K / month Β· π¦ 36 Β· β±οΈ 25.11.2020):
```
pip install pyclustering
```
-- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 12K Β· β±οΈ 30.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 12K Β· β±οΈ 25.01.2021):
```
conda install -c conda-forge pyclustering
```
Trax (π₯25 Β· β 5.6K) - Trax Deep Learning with Clear Code and Speed. Apache-2
-- [GitHub](https://github.com/google/trax) (π¨βπ» 56 Β· π 520 Β· π¦ 20 Β· π 150 - 34% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/google/trax) (π¨βπ» 56 Β· π 530 Β· π¦ 20 Β· π 160 - 35% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 3.1K / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/trax) (π₯ 2.5K / month Β· β±οΈ 18.12.2020):
```
pip install trax
```
DeepChem (π₯25 Β· β 2.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 140 Β· π 900 Β· π¦ 35 Β· π 1.2K - 28% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 150 Β· π 910 Β· π¦ 36 Β· π 1.2K - 28% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 1.5K / month Β· π¦ 4 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 1.2K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
```
pip install deepchem
```
causalml (π₯25 Β· β 1.6K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 23 Β· π 240 Β· π¦ 11 Β· π 150 - 12% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 23 Β· π 240 Β· π¦ 11 Β· π 150 - 12% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/uber/causalml
```
-- [PyPi](https://pypi.org/project/causalml) (π₯ 8.5K / month Β· β±οΈ 23.10.2020):
+- [PyPi](https://pypi.org/project/causalml) (π₯ 8.7K / month Β· β±οΈ 23.10.2020):
```
pip install causalml
```
TabPy (π₯24 Β· β 1K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
-- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 38 Β· π 370 Β· π¦ 43 Β· π 250 - 3% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 39 Β· π 380 Β· π¦ 44 Β· π 260 - 3% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/tableau/TabPy
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 1.6K / month Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 1.5K / month Β· β±οΈ 11.11.2020):
```
pip install tabpy
```
kmodes (π₯24 Β· β 800) - Python implementations of the k-modes and k-prototypes clustering.. MIT
-- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 16 Β· π 340 Β· π¦ 420 Β· π 120 - 15% open Β· β±οΈ 04.11.2020):
+- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 16 Β· π 340 Β· π¦ 420 Β· π 130 - 15% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/nicodv/kmodes
```
-- [PyPi](https://pypi.org/project/kmodes) (π₯ 48K / month Β· π¦ 13 Β· β±οΈ 25.02.2020):
+- [PyPi](https://pypi.org/project/kmodes) (π₯ 45K / month Β· π¦ 13 Β· β±οΈ 25.02.2020):
```
pip install kmodes
```
PennyLane (π₯24 Β· β 710) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
+PennyLane (π₯24 Β· β 720) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 39 Β· π 210 Β· π₯ 52 Β· π 280 - 17% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 39 Β· π 210 Β· π₯ 53 Β· π 280 - 17% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/PennyLaneAI/PennyLane
@@ -9479,7 +9541,7 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (π₯24 Β· β 620) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT
-- [GitHub](https://github.com/ericmjl/pyjanitor) (π¨βπ» 87 Β· π 120 Β· π¦ 75 Β· π 370 - 24% open Β· β±οΈ 31.12.2020):
+- [GitHub](https://github.com/ericmjl/pyjanitor) (π¨βπ» 87 Β· π 120 Β· π¦ 77 Β· π 370 - 24% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/ericmjl/pyjanitor
@@ -9500,7 +9562,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/minrk/findspark
```
-- [PyPi](https://pypi.org/project/findspark) (π₯ 520K / month Β· π¦ 200 Β· β±οΈ 08.06.2020):
+- [PyPi](https://pypi.org/project/findspark) (π₯ 470K / month Β· π¦ 200 Β· β±οΈ 08.06.2020):
```
pip install findspark
```
@@ -9511,44 +9573,32 @@ _Libraries for connecting to, operating, and querying databases._
datalad (π₯24 Β· β 220) - Keep code, data, containers under control with git and git-annex. MIT
-- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 40 Β· π 68 Β· π 2.9K - 24% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 40 Β· π 68 Β· π 2.9K - 24% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/datalad/datalad
```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 1.3K / month Β· π¦ 26 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/datalad) (π₯ 1.5K / month Β· π¦ 26 Β· β±οΈ 04.01.2021):
```
pip install datalad
```
-- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 77K Β· β±οΈ 04.01.2021):
+- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 78K Β· β±οΈ 04.01.2021):
```
conda install -c conda-forge datalad
```
PaddleHub (π₯23 Β· β 4.4K) - Awesome pre-trained models toolkit based on.. Apache-2
+PaddleHub (π₯23 Β· β 4.5K) - Awesome pre-trained models toolkit based on.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 32 Β· π 1K Β· π₯ 440 Β· π¦ 78 Β· π 650 - 41% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 33 Β· π 1K Β· π₯ 440 Β· π¦ 78 Β· π 660 - 41% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 1.5K / month Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 1.1K / month Β· β±οΈ 06.01.2021):
```
pip install paddlehub
```
Gradio (π₯23 Β· β 1.9K) - Wrap UIs around any model, share with anyone. Apache-2
-
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 14 Β· π 120 Β· π¦ 60 Β· π 64 - 7% open Β· β±οΈ 20.01.2021):
-
- ```
- git clone https://github.com/gradio-app/gradio
- ```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 23.12.2020):
- ```
- pip install gradio
- ```
-metric-learn (π₯23 Β· β 1.1K) - Metric learning algorithms in Python. MIT
- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 19 Β· π 200 Β· π¦ 120 Β· π 160 - 30% open Β· β±οΈ 04.08.2020):
@@ -9556,90 +9606,86 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (π₯ 14K / month Β· π¦ 9 Β· β±οΈ 02.07.2020):
+- [PyPi](https://pypi.org/project/metric-learn) (π₯ 11K / month Β· π¦ 9 Β· β±οΈ 02.07.2020):
```
pip install metric-learn
```
tensorly (π₯23 Β· β 950) - TensorLy: Tensor Learning in Python. BSD-2
-
-- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 38 Β· π 190 Β· π 120 - 20% open Β· β±οΈ 03.01.2021):
-
- ```
- git clone https://github.com/tensorly/tensorly
- ```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 2.3K / month Β· π¦ 20 Β· β±οΈ 07.12.2020):
- ```
- pip install tensorly
- ```
-- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 110K Β· β±οΈ 07.12.2020):
- ```
- conda install -c conda-forge tensorly
- ```
-PySwarms (π₯23 Β· β 710) - A research toolkit for particle swarm optimization in Python. MIT
-- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 42 Β· π 230 Β· π¦ 87 Β· π 170 - 9% open Β· β±οΈ 03.01.2021):
+- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 42 Β· π 230 Β· π¦ 90 Β· π 170 - 9% open Β· β±οΈ 03.01.2021):
```
git clone https://github.com/ljvmiranda921/pyswarms
```
-- [PyPi](https://pypi.org/project/pyswarms) (π₯ 4.5K / month Β· β±οΈ 03.01.2021):
+- [PyPi](https://pypi.org/project/pyswarms) (π₯ 4.4K / month Β· β±οΈ 03.01.2021):
```
pip install pyswarms
```
SUOD (π₯23 Β· β 240) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2
-- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 1 Β· π 26 Β· π¦ 250 Β· π 5 - 60% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 1 Β· π 27 Β· π¦ 250 Β· π 5 - 60% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 73K / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/suod) (π₯ 62K / month Β· β±οΈ 15.01.2021):
```
pip install suod
```
Mars (π₯22 Β· β 2K) - Mars is a tensor-based unified framework for large-scale data computation.. Apache-2
-- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 17 Β· π 240 Β· π¦ 3 Β· π 750 - 15% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 17 Β· π 240 Β· π¦ 3 Β· π 760 - 15% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/mars-project/mars
```
-- [PyPi](https://pypi.org/project/pymars) (π₯ 2.2K / month Β· β±οΈ 17.01.2021):
+- [PyPi](https://pypi.org/project/pymars) (π₯ 1.5K / month Β· β±οΈ 17.01.2021):
```
pip install pymars
```
Gradio (π₯22 Β· β 2K) - Wrap UIs around any model, share with anyone. Apache-2
+
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 14 Β· π 120 Β· π¦ 62 Β· π 66 - 9% open Β· β±οΈ 28.01.2021):
+
+ ```
+ git clone https://github.com/gradio-app/gradio
+ ```
+- [PyPi](https://pypi.org/project/gradio) (π₯ 910 / month Β· π¦ 2 Β· β±οΈ 28.01.2021):
+ ```
+ pip install gradio
+ ```
+cleanlab (π₯22 Β· β 1.4K) - The standard package for machine learning with noisy labels and finding.. MIT
-- [GitHub](https://github.com/cgnorthcutt/cleanlab) (π¨βπ» 5 Β· π 150 Β· π¦ 10 Β· π 52 - 32% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/cgnorthcutt/cleanlab) (π¨βπ» 5 Β· π 150 Β· π¦ 10 Β· π 52 - 32% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/cgnorthcutt/cleanlab
```
-- [PyPi](https://pypi.org/project/cleanlab) (π₯ 2.8K / month Β· β±οΈ 17.02.2020):
+- [PyPi](https://pypi.org/project/cleanlab) (π₯ 2.5K / month Β· β±οΈ 17.02.2020):
```
pip install cleanlab
```
pycm (π₯22 Β· β 1K) - Multi-class confusion matrix library in Python. MIT
-- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 14 Β· π 92 Β· π¦ 85 Β· π 160 - 7% open Β· β±οΈ 26.10.2020):
+- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 14 Β· π 92 Β· π¦ 85 Β· π 160 - 9% open Β· β±οΈ 26.10.2020):
```
git clone https://github.com/sepandhaghighi/pycm
```
-- [PyPi](https://pypi.org/project/pycm) (π₯ 2K / month Β· π¦ 10 Β· β±οΈ 26.10.2020):
+- [PyPi](https://pypi.org/project/pycm) (π₯ 2.2K / month Β· π¦ 10 Β· β±οΈ 26.10.2020):
```
pip install pycm
```
modAL (π₯22 Β· β 1K) - A modular active learning framework for Python. MIT
-- [GitHub](https://github.com/modAL-python/modAL) (π¨βπ» 14 Β· π 170 Β· π₯ 2 Β· π¦ 44 Β· π 93 - 46% open Β· β±οΈ 07.01.2021):
+- [GitHub](https://github.com/modAL-python/modAL) (π¨βπ» 14 Β· π 170 Β· π₯ 3 Β· π¦ 45 Β· π 93 - 46% open Β· β±οΈ 07.01.2021):
```
git clone https://github.com/modAL-python/modAL
@@ -9651,24 +9697,40 @@ _Libraries for connecting to, operating, and querying databases._
Prince (π₯22 Β· β 560) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT
-- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 9 Β· π 110 Β· π¦ 100 Β· π 89 - 28% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 9 Β· π 110 Β· π¦ 100 Β· π 90 - 28% open Β· β±οΈ 11.01.2021):
```
git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/prince) (π₯ 4.7K / month Β· π¦ 3 Β· β±οΈ 06.10.2020):
+- [PyPi](https://pypi.org/project/prince) (π₯ 5.1K / month Β· π¦ 3 Β· β±οΈ 06.10.2020):
```
pip install prince
```
AstroML (π₯21 Β· β 710) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
+tensorly (π₯21 Β· β 950 Β· π) - TensorLy: Tensor Learning in Python. BSD-2
+
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 38 Β· π 190 Β· π 120 - 20% open Β· β±οΈ 27.01.2021):
+
+ ```
+ git clone https://github.com/tensorly/tensorly
+ ```
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 2.2K / month Β· π¦ 20 Β· β±οΈ 07.12.2020):
+ ```
+ pip install tensorly
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 110K Β· β±οΈ 07.12.2020):
+ ```
+ conda install -c conda-forge tensorly
+ ```
+AstroML (π₯21 Β· β 720) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
- [GitHub](https://github.com/astroML/astroML) (π¨βπ» 29 Β· π 250 Β· π¦ 160 Β· π 130 - 37% open Β· β±οΈ 09.09.2020):
```
git clone https://github.com/astroML/astroML
```
-- [PyPi](https://pypi.org/project/astroML) (π₯ 490 / month Β· π¦ 29 Β· β±οΈ 23.03.2020):
+- [PyPi](https://pypi.org/project/astroML) (π₯ 450 / month Β· π¦ 29 Β· β±οΈ 23.03.2020):
```
pip install astroML
```
@@ -9679,16 +9741,16 @@ _Libraries for connecting to, operating, and querying databases._
BioPandas (π₯21 Β· β 320) - Working with molecular structures in pandas DataFrames. BSD-3
-- [GitHub](https://github.com/rasbt/biopandas) (π¨βπ» 7 Β· π 76 Β· π¦ 47 Β· π 34 - 47% open Β· β±οΈ 01.01.2021):
+- [GitHub](https://github.com/rasbt/biopandas) (π¨βπ» 7 Β· π 77 Β· π¦ 48 Β· π 34 - 47% open Β· β±οΈ 01.01.2021):
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 190 / month Β· π¦ 6 Β· β±οΈ 04.08.2020):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 220 / month Β· π¦ 6 Β· β±οΈ 04.08.2020):
```
pip install biopandas
```
-- [Conda](https://anaconda.org/conda-forge/biopandas) (π₯ 62K Β· β±οΈ 08.08.2020):
+- [Conda](https://anaconda.org/conda-forge/biopandas) (π₯ 63K Β· β±οΈ 08.08.2020):
```
conda install -c conda-forge biopandas
```
@@ -9703,31 +9765,31 @@ _Libraries for connecting to, operating, and querying databases._
mlens (π₯20 Β· β 670 Β· π€) - ML-Ensemble high performance ensemble learning. MIT
-- [GitHub](https://github.com/flennerhag/mlens) (π¨βπ» 7 Β· π 81 Β· π¦ 100 Β· π 81 - 9% open Β· β±οΈ 25.02.2020):
+- [GitHub](https://github.com/flennerhag/mlens) (π¨βπ» 7 Β· π 82 Β· π¦ 100 Β· π 81 - 9% open Β· β±οΈ 25.02.2020):
```
git clone https://github.com/flennerhag/mlens
```
-- [PyPi](https://pypi.org/project/mlens) (π₯ 1.8K / month Β· β±οΈ 30.10.2018):
+- [PyPi](https://pypi.org/project/mlens) (π₯ 3.1K / month Β· β±οΈ 30.10.2018):
```
pip install mlens
```
alibi-detect (π₯20 Β· β 530) - Algorithms for outlier and adversarial instance detection,.. Apache-2
+alibi-detect (π₯20 Β· β 550) - Algorithms for outlier and adversarial instance detection,.. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi-detect) (π¨βπ» 7 Β· π 54 Β· π¦ 18 Β· π 72 - 43% open Β· β±οΈ 05.01.2021):
+- [GitHub](https://github.com/SeldonIO/alibi-detect) (π¨βπ» 7 Β· π 54 Β· π¦ 18 Β· π 72 - 43% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/SeldonIO/alibi-detect
```
-- [PyPi](https://pypi.org/project/alibi-detect) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 08.10.2020):
+- [PyPi](https://pypi.org/project/alibi-detect) (π₯ 910 / month Β· π¦ 1 Β· β±οΈ 08.10.2020):
```
pip install alibi-detect
```
rrcf (π₯20 Β· β 280 Β· π€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
-- [GitHub](https://github.com/kLabUM/rrcf) (π¨βπ» 4 Β· π 65 Β· π¦ 18 Β· π 33 - 48% open Β· β±οΈ 10.06.2020):
+- [GitHub](https://github.com/kLabUM/rrcf) (π¨βπ» 4 Β· π 66 Β· π¦ 18 Β· π 33 - 48% open Β· β±οΈ 10.06.2020):
```
git clone https://github.com/kLabUM/rrcf
@@ -9739,24 +9801,24 @@ _Libraries for connecting to, operating, and querying databases._
gplearn (π₯19 Β· β 900 Β· π€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3
-- [GitHub](https://github.com/trevorstephens/gplearn) (π¨βπ» 10 Β· π 150 Β· π¦ 130 Β· π 140 - 19% open Β· β±οΈ 15.02.2020):
+- [GitHub](https://github.com/trevorstephens/gplearn) (π¨βπ» 10 Β· π 150 Β· π¦ 130 Β· π 140 - 21% open Β· β±οΈ 15.02.2020):
```
git clone https://github.com/trevorstephens/gplearn
```
-- [PyPi](https://pypi.org/project/gplearn) (π₯ 920 / month Β· π¦ 7 Β· β±οΈ 01.06.2019):
+- [PyPi](https://pypi.org/project/gplearn) (π₯ 780 / month Β· π¦ 7 Β· β±οΈ 01.06.2019):
```
pip install gplearn
```
baikal (π₯19 Β· β 570) - A graph-based functional API for building complex scikit-learn pipelines. BSD-3
-- [GitHub](https://github.com/alegonz/baikal) (π¨βπ» 2 Β· π 28 Β· π¦ 3 Β· π 15 - 26% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/alegonz/baikal) (π¨βπ» 2 Β· π 29 Β· π¦ 3 Β· π 15 - 26% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/alegonz/baikal
```
-- [PyPi](https://pypi.org/project/baikal) (π₯ 33 / month Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/baikal) (π₯ 20 / month Β· β±οΈ 15.11.2020):
```
pip install baikal
```
@@ -9765,30 +9827,30 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge cython-blis
```
Feature Engine (π₯19 Β· β 420) - Feature engineering package with sklearn like functionality. BSD-3
+Feature Engine (π₯19 Β· β 430) - Feature engineering package with sklearn like functionality. BSD-3
-- [GitHub](https://github.com/solegalli/feature_engine) (π¨βπ» 20 Β· π 130 Β· π 98 - 27% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/solegalli/feature_engine) (π¨βπ» 20 Β· π 130 Β· π 99 - 26% open Β· β±οΈ 23.01.2021):
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/feature_engine) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 23.01.2021):
```
pip install feature_engine
```
-- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 1.2K Β· β±οΈ 11.01.2021):
+- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 1.3K Β· β±οΈ 25.01.2021):
```
conda install -c conda-forge feature_engine
```
scikit-rebate (π₯19 Β· β 300 Β· π) - A scikit-learn-compatible Python implementation of.. MIT
+scikit-rebate (π₯19 Β· β 300) - A scikit-learn-compatible Python implementation of ReBATE, a.. MIT
- [GitHub](https://github.com/EpistasisLab/scikit-rebate) (π¨βπ» 13 Β· π 56 Β· π¦ 120 Β· π 32 - 46% open Β· β±οΈ 18.07.2020):
```
git clone https://github.com/EpistasisLab/scikit-rebate
```
-- [PyPi](https://pypi.org/project/skrebate) (π₯ 990 / month Β· π¦ 31 Β· β±οΈ 18.07.2020):
+- [PyPi](https://pypi.org/project/skrebate) (π₯ 930 / month Β· π¦ 31 Β· β±οΈ 18.07.2020):
```
pip install skrebate
```
@@ -9800,22 +9862,22 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/jmschrei/apricot
```
-- [PyPi](https://pypi.org/project/apricot-select) (π₯ 270 / month Β· β±οΈ 28.09.2020):
+- [PyPi](https://pypi.org/project/apricot-select) (π₯ 320 / month Β· β±οΈ 28.09.2020):
```
pip install apricot-select
```
River (π₯17 Β· β 1.3K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 58 Β· π 160 Β· π 280 - 13% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 58 Β· π 160 Β· π 280 - 13% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/online-ml/river
```
traingenerator (π₯10 Β· β 890 Β· π£) - A web app to generate template code for machine learning. MIT
+traingenerator (π₯10 Β· β 900 Β· π£) - A web app to generate template code for machine learning. MIT
-- [GitHub](https://github.com/jrieke/traingenerator) (π¨βπ» 3 Β· π 110 Β· π 11 - 90% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/jrieke/traingenerator) (π¨βπ» 3 Β· π 110 Β· π 10 - 90% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/jrieke/traingenerator
@@ -9824,11 +9886,11 @@ _Libraries for connecting to, operating, and querying databases._
Show 6 hidden projects...
- Autograd (π₯29 Β· β 5.1K Β· π) - Efficiently computes derivatives of numpy code. MIT
-- pysc2 (π₯24 Β· β 7.1K Β· π) - StarCraft II Learning Environment. Apache-2
+- pysc2 (π₯23 Β· β 7.2K Β· π) - StarCraft II Learning Environment. Apache-2
- minisom (π₯22 Β· β 760) - MiniSom is a minimalistic implementation of the Self Organizing.. βοΈCC-BY-3.0
- impyute (π₯20 Β· β 260 Β· π) - Data imputations library to preprocess datasets with missing data. MIT
-- vecstack (π₯18 Β· β 570 Β· π) - Python package for stacking (machine learning technique). MIT
-- pandas-ml (π₯17 Β· β 260 Β· π) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 MIT
+- pandas-ml (π₯17 Β· β 270 Β· π) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 Apache-2 BSD-3 BSD-3
+- dbt (π₯29 Β· β 2.4K Β· π) - dbt (data build tool) enables data analysts and engineers to.. Apache-2
+- Pyro (π₯28 Β· β 6.7K Β· π) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 BSD-3
+- stanza (π₯28 Β· β 5.1K Β· π) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
+- CleverHans (π₯27 Β· β 4.9K Β· π) - An adversarial example library for constructing attacks,.. MIT Apache-2
+- ONNX-T5 (π₯13 Β· β 140 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
+
+## π Trending Down
+
+_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
+
+- scikit-learn (π₯37 Β· β 44K Β· π) - scikit-learn: machine learning in Python. BSD-3 βοΈBSL-1.0
+- Rasa (π₯28 Β· β 11K Β· π) - Open source machine learning framework to automate text- and.. Apache-2 BSD-3
+- DeepSpeech (π₯25 Β· β 16K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 BSD-2 Apache-2
+- tensorly (π₯21 Β· β 950 Β· π) - TensorLy: Tensor Learning in Python. BSD-2
+- STUMPY (π₯20 Β· β 1.6K Β· π) - STUMPY is a powerful and scalable Python library for computing a.. BSD-3
+- gokart (π₯19 Β· β 160 Β· π) - A wrapper of the data pipeline library luigi. MIT
+
+## β Added Projects
+
+_Projects that were recently added to this best-of list._
+
+- D-Tale (π₯21 Β· β 2K Β· β) - Visualizer for pandas data structures. βοΈLGPL-2.1 Apache-2 Apache-2 Apache-2
-- SageMaker SDK (π₯30 Β· β 1.3K Β· π) - A library for training and deploying machine learning.. Apache-2 BSD-2
-- OpenNMT (π₯28 Β· β 4.8K Β· π) - Open Source Neural Machine Translation in PyTorch. MIT Apache-2
-- tslearn (π₯28 Β· β 1.4K Β· π) - A machine learning toolkit dedicated to time-series data. BSD-2 MIT
-- ftfy (π₯26 Β· β 2.9K Β· π) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-- Pythran (π₯26 Β· β 1.5K Β· π) - Ahead of Time compiler for numeric kernels. BSD-3
-- Larq Compute Engine (π₯17 Β· β 120 Β· π) - Highly optimized inference engine for Binarized.. Apache-2
+- AllenNLP (π₯32 Β· β 9.6K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 BSD-3 BSD-3
+- dbt (π₯29 Β· β 2.4K Β· π) - dbt (data build tool) enables data analysts and engineers to.. Apache-2
+- Pyro (π₯28 Β· β 6.7K Β· π) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 BSD-3
+- stanza (π₯28 Β· β 5.1K Β· π) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
+- CleverHans (π₯27 Β· β 4.9K Β· π) - An adversarial example library for constructing attacks,.. MIT Apache-2
+- ONNX-T5 (π₯13 Β· β 140 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
## π Trending Down
_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
-- scikit-optimize (π₯30 Β· β 2K Β· π) - Sequential model-based optimization with a.. BSD-3
-- TPOT (π₯29 Β· β 7.8K Β· π) - A Python Automated Machine Learning tool that optimizes.. βοΈLGPL-3.0 BSD-3
-- pyLDAvis (π₯27 Β· β 1.4K Β· π) - Python library for interactive topic model visualization... BSD-3 Apache-2
-- Essentia (π₯22 Β· β 1.7K Β· π) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
-- GPUtil (π₯22 Β· β 660 Β· π) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT
-- hiddenlayer (π₯19 Β· β 1.4K Β· π€) - Neural network graphs and training metrics for.. MIT MPL-2.0 MIT BSD-3 βοΈBSL-1.0
+- Rasa (π₯28 Β· β 11K Β· π) - Open source machine learning framework to automate text- and.. Apache-2 BSD-3
+- DeepSpeech (π₯25 Β· β 16K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 BSD-2 Apache-2
+- tensorly (π₯21 Β· β 950 Β· π) - TensorLy: Tensor Learning in Python. BSD-2
+- STUMPY (π₯20 Β· β 1.6K Β· π) - STUMPY is a powerful and scalable Python library for computing a.. BSD-3
+- gokart (π₯19 Β· β 160 Β· π) - A wrapper of the data pipeline library luigi. MIT
## β Added Projects
_Projects that were recently added to this best-of list._
-- PyFlink (π₯33 Β· β 15K Β· β) - Apache Flink Python API. Apache-2
-- pydeck (π₯33 Β· β 8.3K Β· β) - WebGL2 powered geospatial visualization layers. MIT MIT
-- Objax (π₯18 Β· β 550 Β· π£) - Objax is a machine learning framework that provides an Object.. Apache-2 jax
-- Vulkan Kompute (π₯16 Β· β 290 Β· π£) - General purpose GPU compute framework for cross vendor.. Apache-2
-- pyRDF2Vec (π₯15 Β· β 79 Β· β) - Python Implementation and Extension of RDF2Vec. MIT
+- D-Tale (π₯21 Β· β 2K Β· β) - Visualizer for pandas data structures. βοΈLGPL-2.1 Apache-2 Apache-2