diff --git a/README.md b/README.md
index 368ffc16..cf97f7ec 100644
--- a/README.md
+++ b/README.md
@@ -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 28.01.2021):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 3.5K Β· π 84K Β· π¦ 120K Β· π 30K - 14% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 4.1M / month Β· π¦ 23K Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 3.6M / month Β· π¦ 23K Β· β±οΈ 21.01.2021):
```
pip install tensorflow
```
@@ -111,83 +111,83 @@ _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 27.01.2021):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 47M Β· β 1.8K Β· β±οΈ 03.02.2021):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯39 Β· β 46K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [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):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 2.5K Β· π 12K Β· π¦ 61K Β· π 21K - 37% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 1.3M / month Β· π¦ 6.7K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torch) (π₯ 1.2M / month Β· π¦ 6.7K Β· β±οΈ 10.12.2020):
```
pip install torch
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 9.9M Β· β±οΈ 10.12.2020):
+- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 10M Β· β±οΈ 10.12.2020):
```
conda install -c pytorch pytorch
```
PySpark (π₯38 Β· β 29K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.4K Β· π 23K Β· π¦ 560 Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.4K Β· π 23K Β· π¦ 560 Β· β±οΈ 04.02.2021):
```
git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 5.5M / month Β· π¦ 760 Β· β±οΈ 07.09.2020):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 4.7M / month Β· π¦ 760 Β· β±οΈ 07.09.2020):
```
pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 880K Β· β±οΈ 07.09.2020):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 890K Β· β±οΈ 07.09.2020):
```
conda install -c conda-forge pyspark
```
scikit-learn (π₯37 Β· β 44K Β· π) - scikit-learn: machine learning in Python. BSD-3 
+scikit-learn (π₯37 Β· β 44K) - scikit-learn: machine learning in Python. BSD-3
-- [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):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 2.1K Β· π 21K Β· π₯ 650 Β· π¦ 190K Β· π 9K - 25% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 8.4M / month Β· π¦ 38K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 7.2M / month Β· π¦ 38K Β· β±οΈ 19.01.2021):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 6.5M Β· β±οΈ 21.01.2021):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 6.8M Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge scikit-learn
```
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 27.01.2021):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 300 Β· π 2.2K Β· π₯ 25 Β· π¦ 37K Β· π 4.3K - 48% open Β· β±οΈ 31.01.2021):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 1.6M / month Β· π¦ 6.7K Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 2.2M / month Β· π¦ 6.7K Β· β±οΈ 02.02.2021):
```
pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 3.2M Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 3.3M Β· β±οΈ 02.02.2021):
```
conda install -c conda-forge statsmodels
```
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 27.01.2021):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 900 Β· π 19K Β· π 10K - 30% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 1.5M / month Β· π¦ 15K Β· β±οΈ 24.06.2020):
+- [PyPi](https://pypi.org/project/keras) (π₯ 1.3M / month Β· π¦ 15K Β· β±οΈ 24.06.2020):
```
pip install keras
```
@@ -196,14 +196,14 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge keras
```
XGBoost (π₯35 Β· β 20K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+XGBoost (π₯35 Β· β 21K) - 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 28.01.2021):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 500 Β· π 7.9K Β· π₯ 1.9K Β· π¦ 14K Β· π 3.9K - 6% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 2M / month Β· π¦ 1.6K Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 1.8M / month Β· π¦ 1.6K Β· β±οΈ 20.01.2021):
```
pip install xgboost
```
@@ -214,55 +214,55 @@ _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₯ 90K Β· π¦ 5.4K Β· π 2.1K - 4% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 200 Β· π 3.2K Β· π₯ 92K Β· π¦ 5.6K Β· π 2.1K - 4% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 1.1M / month Β· π¦ 560 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 970K / month Β· π¦ 560 Β· β±οΈ 08.12.2020):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 470K Β· β±οΈ 15.01.2021):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 480K Β· β±οΈ 15.01.2021):
```
conda install -c conda-forge lightgbm
```
MXNet (π₯34 Β· β 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 
+Theano (π₯34 Β· β 9.3K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3
-- [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):
+- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 380 Β· π 2.5K Β· π¦ 10K Β· π 2.8K - 24% open Β· β±οΈ 05.09.2020):
```
- git clone https://github.com/apache/incubator-mxnet
+ git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/mxnet) (π₯ 110K / month Β· π¦ 440 Β· β±οΈ 28.08.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 130K / month Β· π¦ 5.5K Β· β±οΈ 27.07.2020):
```
- pip install mxnet
+ pip install theano
```
-- [Conda](https://anaconda.org/anaconda/mxnet) (π₯ 5.7K Β· β±οΈ 29.02.2020):
+- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 1.3M Β· β±οΈ 21.01.2021):
```
- conda install -c anaconda mxnet
+ conda install -c conda-forge theano
```
Theano (π₯34 Β· β 9.3K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3
+MXNet (π₯33 Β· β 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2
-- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 380 Β· π 2.5K Β· π¦ 10K Β· π 2.8K - 24% open Β· β±οΈ 05.09.2020):
+- [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 03.02.2021):
```
- git clone https://github.com/Theano/Theano
+ git clone https://github.com/apache/incubator-mxnet
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 160K / month Β· π¦ 5.5K Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/mxnet) (π₯ 78K / month Β· π¦ 440 Β· β±οΈ 28.08.2020):
```
- pip install theano
+ pip install mxnet
```
-- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 1.3M Β· β±οΈ 21.01.2021):
+- [Conda](https://anaconda.org/anaconda/mxnet) (π₯ 5.8K Β· β±οΈ 29.02.2020):
```
- conda install -c conda-forge theano
+ conda install -c anaconda mxnet
```
PyFlink (π₯33 Β· β 15K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.2K Β· π 8.5K Β· π¦ 240 Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.2K Β· π 8.5K Β· π¦ 250 Β· β±οΈ 04.02.2021):
```
git clone https://github.com/apache/flink
@@ -274,176 +274,160 @@ _General-purpose machine learning and deep learning frameworks._
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₯ 69 Β· π¦ 1.8K Β· π 2.8K - 11% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (π¨βπ» 380 Β· π 1.4K Β· π₯ 79 Β· π¦ 1.8K Β· π 2.8K - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/PyTorchLightning/pytorch-lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 89K / month Β· π¦ 14 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 91K / month Β· π¦ 14 Β· β±οΈ 03.02.2021):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 20K Β· β±οΈ 26.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 28K Β· β±οΈ 03.02.2021):
```
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 27.01.2021):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 470 Β· π 6.9K Β· π 1.4K - 4% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 110K / month Β· π¦ 370 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 82K / 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» 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₯ 60K / month Β· π¦ 46 Β· β±οΈ 27.01.2021):
- ```
- pip install jax
- ```
-- [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 96 - 9% open Β· β±οΈ 24.01.2021):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 36 Β· π 200 Β· π¦ 11K Β· π 96 - 9% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 700K / month Β· π¦ 1.1K Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 640K / month Β· π¦ 1.1K Β· β±οΈ 24.01.2021):
```
pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 860K Β· β±οΈ 25.01.2021):
+- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 870K Β· β±οΈ 03.02.2021):
```
conda install -c conda-forge thinc
```
Catboost (π₯31 Β· β 5.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+jax (π₯31 Β· β 11K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [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):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 250 Β· π 970 Β· π¦ 1.1K Β· π 2.1K - 34% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/catboost/catboost
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 540K / month Β· π¦ 160 Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/jax) (π₯ 56K / month Β· π¦ 46 Β· β±οΈ 27.01.2021):
```
- pip install catboost
+ pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 560K Β· β±οΈ 29.12.2020):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 73K Β· β±οΈ 18.01.2021):
```
- conda install -c conda-forge catboost
+ conda install -c conda-forge jaxlib
```
Chainer (π₯31 Β· β 5.5K) - A flexible framework of neural networks for deep learning. MIT
-- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 320 Β· π 1.4K Β· π¦ 1.8K Β· π 2K - 0% open Β· β±οΈ 23.12.2020):
+- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 320 Β· π 1.4K Β· π¦ 1.9K Β· π 2K - 0% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/chainer/chainer
```
-- [PyPi](https://pypi.org/project/chainer) (π₯ 14K / month Β· π¦ 740 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/chainer) (π₯ 13K / 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
+PaddlePaddle (π₯30 Β· β 14K Β· π) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [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):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 500 Β· π 3.5K Β· π₯ 15K Β· π¦ 27 Β· π 13K - 18% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/tflearn/tflearn
+ git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/tflearn) (π₯ 9.3K / month Β· π¦ 480 Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 4K / month Β· π¦ 16 Β· β±οΈ 25.01.2021):
```
- pip install tflearn
+ pip install paddlepaddle
```
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¦ 97 Β· π 1K - 15% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 300 Β· π 1.7K Β· π¦ 98 Β· π 1K - 16% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 17K / month Β· π¦ 16 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 12K / 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
+Catboost (π₯30 Β· β 5.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. 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 28.01.2021):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 730 Β· π 860 Β· π₯ 49K Β· π 1.4K - 23% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/PaddlePaddle/Paddle
+ git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 4.7K / month Β· π¦ 16 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 420K / month Β· π¦ 160 Β· β±οΈ 27.12.2020):
```
- pip install paddlepaddle
+ pip install catboost
+ ```
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 560K Β· β±οΈ 29.12.2020):
+ ```
+ conda install -c conda-forge catboost
```
Turi Create (π₯29 Β· β 10K) - Turi Create simplifies the development of custom machine learning.. BSD-3
-- [GitHub](https://github.com/apple/turicreate) (π¨βπ» 81 Β· π 1.1K Β· π₯ 3.6K Β· π¦ 220 Β· π 1.7K - 27% open Β· β±οΈ 13.10.2020):
+- [GitHub](https://github.com/apple/turicreate) (π¨βπ» 81 Β· π 1.1K Β· π₯ 3.6K Β· π¦ 220 Β· π 1.7K - 27% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/apple/turicreate
```
-- [PyPi](https://pypi.org/project/turicreate) (π₯ 9.2K / month Β· π¦ 34 Β· β±οΈ 30.09.2020):
+- [PyPi](https://pypi.org/project/turicreate) (π₯ 9.8K / month Β· π¦ 34 Β· β±οΈ 30.09.2020):
```
pip install turicreate
```
Sonnet (π₯28 Β· β 8.7K) - TensorFlow-based neural network library. Apache-2
+TFlearn (π₯29 Β· β 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT
-- [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):
+- [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/deepmind/sonnet
- ```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 34K / month Β· π¦ 82 Β· β±οΈ 27.03.2020):
- ```
- pip install dm-sonnet
+ git clone https://github.com/tflearn/tflearn
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 7K Β· β±οΈ 14.11.2020):
+- [PyPi](https://pypi.org/project/tflearn) (π₯ 7.7K / month Β· π¦ 480 Β· β±οΈ 11.11.2020):
```
- conda install -c conda-forge sonnet
+ pip install tflearn
```
tensorpack (π₯28 Β· β 5.9K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
-- [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):
+- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 55 Β· π 1.8K Β· π₯ 110 Β· π¦ 680 Β· π 1.3K - 1% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/tensorpack/tensorpack
```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 49K / month Β· π¦ 76 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/tensorpack) (π₯ 15K / month Β· π¦ 76 Β· β±οΈ 22.01.2021):
```
pip install tensorpack
```
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₯ 1.6K Β· π¦ 170 Β· π 920 - 27% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 690 Β· π₯ 1.7K 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₯ 4.4K / month Β· π¦ 38 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 4.1K / month Β· π¦ 38 Β· β±οΈ 21.10.2020):
```
pip install dyNET
```
@@ -455,126 +439,142 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/microsoft/CNTK
```
-- [PyPi](https://pypi.org/project/cntk) (π₯ 1.1K / month Β· π¦ 17 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/cntk) (π₯ 960 / month Β· π¦ 17 Β· β±οΈ 09.12.2020):
```
pip install cntk
```
skorch (π₯27 Β· β 3.8K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+Sonnet (π₯27 Β· β 8.7K) - TensorFlow-based neural network library. Apache-2
-- [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):
+- [GitHub](https://github.com/deepmind/sonnet) (π¨βπ» 48 Β· π 1.3K Β· π¦ 500 Β· π 150 - 11% open Β· β±οΈ 08.10.2020):
```
- git clone https://github.com/skorch-dev/skorch
+ git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 5.7K / month Β· π¦ 13 Β· β±οΈ 30.08.2020):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 19K / month Β· π¦ 82 Β· β±οΈ 27.03.2020):
```
- pip install skorch
+ pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 170K Β· β±οΈ 19.09.2020):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 7.1K Β· β±οΈ 14.11.2020):
```
- conda install -c conda-forge skorch
+ conda install -c conda-forge sonnet
```
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 410 Β· π¦ 720 Β· π 700 - 13% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 120 Β· π 420 Β· π¦ 730 Β· π 710 - 13% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 31K / month Β· π¦ 62 Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 26K / month Β· π¦ 62 Β· β±οΈ 04.02.2021):
```
pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 52K Β· β±οΈ 20.09.2020):
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 53K Β· β±οΈ 20.09.2020):
```
conda install -c pytorch ignite
```
Jina (π₯27 Β· β 2K) - An easier way to build neural search in the cloud. Apache-2
+Jina (π₯27 Β· β 2.1K) - 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):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 85 Β· π 340 Β· π¦ 46 Β· π 630 - 7% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 2K / month Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/jina) (π₯ 2.4K / month Β· β±οΈ 04.02.2021):
```
pip install jina
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 89K Β· β±οΈ 28.01.2021):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 100K Β· β±οΈ 04.02.2021):
```
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» 71 Β· π 160 Β· π₯ 20 Β· π¦ 91 Β· π 300 - 53% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 73 Β· π 170 Β· π₯ 21 Β· π¦ 95 Β· π 290 - 50% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 44K / month Β· π¦ 6 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/flax) (π₯ 41K / month Β· π¦ 6 Β· β±οΈ 08.12.2020):
```
pip install flax
```
skorch (π₯26 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 28.01.2021):
+
+ ```
+ git clone https://github.com/skorch-dev/skorch
+ ```
+- [PyPi](https://pypi.org/project/skorch) (π₯ 5.5K / month Β· π¦ 13 Β· β±οΈ 30.08.2020):
+ ```
+ pip install skorch
+ ```
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 180K Β· β±οΈ 19.09.2020):
+ ```
+ conda install -c conda-forge skorch
+ ```
+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 1.4K - 11% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 260 Β· π 1.3K Β· π 1.4K - 11% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 100 / month Β· β±οΈ 28.10.2020):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 88 / month Β· β±οΈ 28.10.2020):
```
pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 63K Β· β±οΈ 29.10.2020):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 64K Β· β±οΈ 29.10.2020):
```
conda install -c conda-forge mlpack
```
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¦ 76 Β· π 520 - 21% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 86 Β· π 890 Β· π¦ 79 Β· π 520 - 22% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 1K / month Β· π¦ 12 Β· β±οΈ 16.11.2020):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 840 / month Β· π¦ 12 Β· β±οΈ 01.02.2021):
```
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 54 - 64% open Β· β±οΈ 22.01.2021):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 55 Β· π 300 Β· π₯ 520 Β· π 58 - 62% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 1.3K / month Β· π¦ 34 Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 1.4K / month Β· π¦ 34 Β· β±οΈ 29.01.2021):
```
pip install nnabla
```
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/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):
+- [GitHub](https://github.com/aksnzhy/xlearn) (π¨βπ» 30 Β· π 490 Β· π₯ 2.3K Β· π¦ 41 Β· π 290 - 62% open Β· β±οΈ 03.03.2020):
```
git clone https://github.com/aksnzhy/xlearn
```
-- [PyPi](https://pypi.org/project/xlearn) (π₯ 5.4K / month Β· π¦ 1 Β· β±οΈ 04.12.2018):
+- [PyPi](https://pypi.org/project/xlearn) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 04.12.2018):
```
pip install xlearn
```
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 76 Β· π¦ 210 Β· π 63 - 34% open Β· β±οΈ 09.01.2021):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 10 Β· π 77 Β· π¦ 230 Β· π 63 - 34% open Β· β±οΈ 09.01.2021):
```
git clone https://github.com/arogozhnikov/einops
@@ -583,31 +583,31 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 3.6K Β· β±οΈ 15.10.2020):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 3.7K Β· β±οΈ 15.10.2020):
```
conda install -c conda-forge einops
```
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 180 Β· π¦ 110 Β· π 300 - 2% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 12 Β· π 180 Β· π¦ 120 Β· π 300 - 3% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 28.01.2021):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 4.1K / month Β· π¦ 1 Β· β±οΈ 28.01.2021):
```
pip install ktrain
```
tensorflow-upstream (π₯24 Β· β 530) - TensorFlow ROCm port. Apache-2
+tensorflow-upstream (π₯24 Β· β 540) - TensorFlow ROCm port. 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 27.01.2021):
+- [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 02.02.2021):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 1.1K / month Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 710 / month Β· β±οΈ 22.12.2020):
```
pip install tensorflow-rocm
```
@@ -635,14 +635,14 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 3.7K / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.9K / month Β· β±οΈ 02.10.2020):
```
pip install fklearn
```
mace (π₯21 Β· β 4.3K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
-- [GitHub](https://github.com/XiaoMi/mace) (π¨βπ» 54 Β· π 760 Β· π₯ 1.3K Β· π 620 - 6% open Β· β±οΈ 10.01.2021):
+- [GitHub](https://github.com/XiaoMi/mace) (π¨βπ» 54 Β· π 760 Β· π₯ 1.3K Β· π 620 - 6% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/XiaoMi/mace
@@ -650,87 +650,87 @@ _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» 17 Β· π 150 Β· π₯ 100 Β· π¦ 13 Β· π 77 - 36% open Β· β±οΈ 25.01.2021):
+- [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 04.02.2021):
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 400 / month Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 980 / 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 27.01.2021):
+- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 33 Β· π 160 Β· π₯ 2.1K Β· π 190 - 23% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 320 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 260 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
Haiku (π₯20 Β· β 920) - JAX-based neural network library. Apache-2
+Haiku (π₯20 Β· β 930) - JAX-based neural network library. Apache-2
-- [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):
+- [GitHub](https://github.com/deepmind/dm-haiku) (π¨βπ» 35 Β· π 64 Β· π¦ 58 Β· π 66 - 27% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/deepmind/dm-haiku
```
Torchbearer (π₯18 Β· β 580 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
+Objax (π₯19 Β· β 560 Β· π£) - Objax is a machine learning framework that provides an Object.. Apache-2 jax
-- [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):
+- [GitHub](https://github.com/google/objax) (π¨βπ» 19 Β· π 45 Β· π¦ 5 Β· π 90 - 45% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/pytorchbearer/torchbearer
+ git clone https://github.com/google/objax
```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 150 / month Β· π¦ 3 Β· β±οΈ 31.01.2020):
+- [PyPi](https://pypi.org/project/objax) (π₯ 770 / month Β· β±οΈ 03.02.2021):
```
- pip install torchbearer
+ pip install objax
```
Objax (π₯17 Β· β 560 Β· π£) - Objax is a machine learning framework that provides an Object.. Apache-2 jax
+Torchbearer (π₯17 Β· β 580 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
-- [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):
+- [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/google/objax
+ git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 140 / month Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 110 / month Β· π¦ 3 Β· β±οΈ 31.01.2020):
```
- pip install objax
+ pip install torchbearer
```
ThunderGBM (π₯16 Β· β 580) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [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/Xtra-Computing/thundergbm) (π¨βπ» 10 Β· π 70 Β· π 46 - 43% open Β· β±οΈ 05.01.2021):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 65 / month Β· β±οΈ 01.05.2020):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 33 / month Β· β±οΈ 01.05.2020):
```
pip install thundergbm
```
elegy (π₯16 Β· β 150) - Elegy is a Neural Networks framework based on Jax and inspired.. Apache-2 jax
+elegy (π₯16 Β· β 160) - Elegy is a framework-agnostic Trainer interface for the Jax.. Apache-2 jax
-- [GitHub](https://github.com/poets-ai/elegy) (π¨βπ» 12 Β· π 10 Β· π 50 - 30% open Β· β±οΈ 22.01.2021):
+- [GitHub](https://github.com/poets-ai/elegy) (π¨βπ» 13 Β· π 11 Β· π 55 - 36% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/poets-ai/elegy
```
-- [PyPi](https://pypi.org/project/elegy) (π₯ 120 / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/elegy) (π₯ 95 / month Β· β±οΈ 03.02.2021):
```
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 28.01.2021):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 16 Β· π 79 Β· π 29 - 55% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/neoml-lib/neoml
@@ -738,7 +738,7 @@ _General-purpose machine learning and deep learning frameworks._
Show 7 hidden projects...
-- dlib (π₯32 Β· β 9.8K Β· π) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
+- dlib (π₯32 Β· β 9.9K) - 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
@@ -756,28 +756,28 @@ _General-purpose and task-specific data visualization libraries._
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 28.01.2021):
+- [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 04.02.2021):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 7.2M / month Β· π¦ 79K Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 7M / month Β· π¦ 79K Β· β±οΈ 28.01.2021):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 7.9M Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 8.1M Β· β±οΈ 28.01.2021):
```
conda install -c conda-forge matplotlib
```
Plotly (π₯35 Β· β 8.7K) - The interactive graphing library for Python (includes Plotly Express). MIT
+Plotly (π₯35 Β· β 8.8K) - 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 - 43% 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 1.9K - 43% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 2.1M / month Β· π¦ 5K Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 1.8M / month Β· π¦ 5K Β· β±οΈ 12.01.2021):
```
pip install plotly
```
@@ -785,19 +785,19 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge plotly
```
-- [NPM](https://www.npmjs.com/package/plotlywidget) (π₯ 150K / month Β· π¦ 4 Β· β±οΈ 12.01.2021):
+- [NPM](https://www.npmjs.com/package/plotlywidget) (π₯ 200K / 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
+Seaborn (π₯35 Β· β 8.1K) - 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¦ 79K Β· π 1.8K - 4% open Β· β±οΈ 24.01.2021):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 150 Β· π 1.4K Β· π₯ 130 Β· π¦ 80K Β· π 1.8K - 4% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 1.5M / month Β· π¦ 13K Β· β±οΈ 20.12.2020):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 1.4M / month Β· π¦ 13K Β· β±οΈ 20.12.2020):
```
pip install seaborn
```
@@ -808,12 +808,12 @@ _General-purpose and task-specific data visualization libraries._
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 - 42% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 73 Β· π 1.4K Β· π¦ 17K Β· π 960 - 42% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 190K / month Β· π¦ 1.6K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/dash) (π₯ 170K / month Β· π¦ 1.6K Β· β±οΈ 19.01.2021):
```
pip install dash
```
@@ -824,67 +824,79 @@ _General-purpose and task-specific data visualization libraries._
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 6.4K - 9% open Β· β±οΈ 27.01.2021):
+- [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 01.02.2021):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 840K / month Β· π¦ 5.9K Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 680K / month Β· π¦ 5.9K Β· β±οΈ 19.01.2021):
```
pip install bokeh
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 3.6M Β· β±οΈ 13.01.2021):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 3.7M Β· β±οΈ 13.01.2021):
```
conda install -c conda-forge bokeh
```
pyecharts (π₯31 Β· β 10K) - Python Echarts Plotting Library. MIT 
+pyecharts (π₯31 Β· β 11K) - Python Echarts Plotting Library. MIT
-- [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):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 30 Β· π 2.3K Β· π¦ 1.5K Β· π 1.4K - 2% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 20K / month Β· π¦ 280 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 14K / 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¦ 8.6K 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¦ 8.8K 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₯ 190K / month Β· π¦ 1.1K Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 170K / month Β· π¦ 1.1K Β· β±οΈ 11.11.2020):
```
pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 180K Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 190K Β· β±οΈ 14.01.2021):
```
conda install -c conda-forge wordcloud
```
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¦ 7.6K 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¦ 7.8K 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₯ 540K / month Β· π¦ 370 Β· β±οΈ 01.04.2020):
+- [PyPi](https://pypi.org/project/altair) (π₯ 460K / month Β· π¦ 370 Β· β±οΈ 01.04.2020):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 590K Β· β±οΈ 01.04.2020):
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 600K Β· β±οΈ 01.04.2020):
```
conda install -c conda-forge altair
```
UMAP (π₯30 Β· β 4.5K Β· π) - Uniform Manifold Approximation and Projection. BSD-3
+
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 69 Β· π 480 Β· π¦ 2.3K Β· π 430 - 47% open Β· β±οΈ 01.02.2021):
+
+ ```
+ git clone https://github.com/lmcinnes/umap
+ ```
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 100K / month Β· π¦ 230 Β· β±οΈ 11.01.2021):
+ ```
+ pip install umap-learn
+ ```
+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 - 36% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 51 Β· π 400 Β· π¦ 1.2K Β· π 510 - 36% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/bqplot/bqplot
@@ -893,51 +905,39 @@ _General-purpose and task-specific data visualization libraries._
```
pip install bqplot
```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 470K Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 480K Β· β±οΈ 14.01.2021):
```
conda install -c conda-forge bqplot
```
-- [NPM](https://www.npmjs.com/package/bqplot) (π₯ 130K / month Β· π¦ 10 Β· β±οΈ 14.01.2021):
+- [NPM](https://www.npmjs.com/package/bqplot) (π₯ 140K / 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 
+pandas-profiling (π₯29 Β· β 6.7K) - 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 420 - 14% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (π¨βπ» 65 Β· π 990 Β· π¦ 3K Β· π 420 - 15% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/pandas-profiling/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 150K / month Β· π¦ 160 Β· β±οΈ 03.09.2020):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 130K / month Β· π¦ 160 Β· β±οΈ 03.09.2020):
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 99K Β· β±οΈ 09.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 100K Β· β±οΈ 09.01.2021):
```
conda install -c conda-forge pandas-profiling
```
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 27.01.2021):
-
- ```
- git clone https://github.com/lmcinnes/umap
- ```
-- [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 740 - 38% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 180 Β· π 810 Β· π 730 - 36% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 24K / month Β· π¦ 890 Β· β±οΈ 20.12.2020):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 22K / month Β· π¦ 890 Β· β±οΈ 20.12.2020):
```
pip install pyqtgraph
```
@@ -948,12 +948,12 @@ _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 28.01.2021):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 100 Β· π 300 Β· π 2.5K - 27% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 67K / month Β· π¦ 170 Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 65K / month Β· π¦ 170 Β· β±οΈ 28.01.2021):
```
pip install holoviews
```
@@ -961,19 +961,19 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge holoviews
```
-- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 7.3K / month Β· β±οΈ 24.05.2020):
+- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 8.1K / month Β· β±οΈ 24.05.2020):
```
npm install @pyviz/jupyterlab_pyviz
```
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):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 15 Β· π 140 Β· π¦ 17K Β· π 100 - 8% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 2.1M / month Β· π¦ 4.4K Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 1.7M / month Β· π¦ 4.4K Β· β±οΈ 24.12.2020):
```
pip install graphviz
```
@@ -985,7 +985,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 12K / month Β· π¦ 120 Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 11K / month Β· π¦ 120 Β· β±οΈ 28.11.2020):
```
pip install vispy
```
@@ -993,7 +993,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vispy
```
-- [NPM](https://www.npmjs.com/package/vispy) (π₯ 120 / month Β· β±οΈ 15.03.2020):
+- [NPM](https://www.npmjs.com/package/vispy) (π₯ 130 / month Β· β±οΈ 15.03.2020):
```
npm install vispy
```
@@ -1005,7 +1005,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 9.4K / month Β· π¦ 70 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 8.8K / month Β· π¦ 70 Β· β±οΈ 07.01.2021):
```
pip install datashader
```
@@ -1016,44 +1016,44 @@ _General-purpose and task-specific data visualization libraries._
missingno (π₯27 Β· β 2.6K) - Missing data visualization module for Python. MIT
-- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 15 Β· π 330 Β· π¦ 2.7K Β· π 100 - 14% open Β· β±οΈ 28.12.2020):
+- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 15 Β· π 330 Β· π¦ 2.8K Β· π 100 - 14% open Β· β±οΈ 28.12.2020):
```
git clone https://github.com/ResidentMario/missingno
```
-- [PyPi](https://pypi.org/project/missingno) (π₯ 120K / month Β· π¦ 76 Β· β±οΈ 29.06.2018):
+- [PyPi](https://pypi.org/project/missingno) (π₯ 110K / month Β· π¦ 76 Β· β±οΈ 29.06.2018):
```
pip install missingno
```
-- [Conda](https://anaconda.org/conda-forge/missingno) (π₯ 70K Β· β±οΈ 15.02.2020):
+- [Conda](https://anaconda.org/conda-forge/missingno) (π₯ 72K Β· β±οΈ 15.02.2020):
```
conda install -c conda-forge missingno
```
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 25.01.2021):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 20 Β· π 94 Β· π₯ 200 Β· π¦ 230 Β· π 110 - 34% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 5.1M / month Β· π¦ 18 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 4.1M / month Β· π¦ 18 Β· β±οΈ 28.01.2021):
```
pip install tensorflow-data-validation
```
Perspective (π₯26 Β· β 3.1K) - Streaming pivot visualization via WebAssembly. Apache-2
+Perspective (π₯26 Β· β 3.2K) - Streaming pivot visualization via WebAssembly. Apache-2
-- [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):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 62 Β· π 350 Β· π¦ 170 Β· π 380 - 18% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 450 / month Β· π¦ 4 Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 400 / month Β· π¦ 4 Β· β±οΈ 14.01.2021):
```
pip install perspective-python
```
-- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 1.2K / month Β· β±οΈ 08.01.2021):
+- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 1.5K / month Β· β±οΈ 08.01.2021):
```
npm install @finos/perspective-jupyterlab
```
@@ -1065,23 +1065,23 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/santosjorge/cufflinks
```
-- [PyPi](https://pypi.org/project/cufflinks) (π₯ 42K / month Β· π¦ 230 Β· β±οΈ 01.03.2020):
+- [PyPi](https://pypi.org/project/cufflinks) (π₯ 37K / month Β· π¦ 230 Β· β±οΈ 01.03.2020):
```
pip install cufflinks
```
PyVista (π₯26 Β· β 670) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
+PyVista (π₯26 Β· β 680) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
-- [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):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 53 Β· π 140 Β· π₯ 46 Β· π¦ 250 Β· π 400 - 32% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 7.5K / month Β· π¦ 26 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 7.7K / month Β· π¦ 26 Β· β±οΈ 04.02.2021):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 56K Β· β±οΈ 10.12.2020):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 58K Β· β±οΈ 10.12.2020):
```
conda install -c conda-forge pyvista
```
@@ -1093,27 +1093,39 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/ContextLab/hypertools
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 180 / month Β· π¦ 9 Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 170 / month Β· π¦ 9 Β· β±οΈ 02.10.2020):
```
pip install hypertools
```
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¦ 450 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¦ 460 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₯ 27K / month Β· π¦ 15 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 22K / month Β· π¦ 15 Β· β±οΈ 02.06.2020):
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 60K Β· β±οΈ 06.01.2021):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 63K Β· β±οΈ 06.01.2021):
```
conda install -c conda-forge hvplot
```
Facets Overview (π₯24 Β· β 6.5K) - Visualizations for machine learning datasets. Apache-2
+
+- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 27 Β· π 790 Β· π¦ 38 Β· π 150 - 48% open Β· β±οΈ 27.10.2020):
+
+ ```
+ git clone https://github.com/pair-code/facets
+ ```
+- [PyPi](https://pypi.org/project/facets-overview) (π₯ 25K / month Β· β±οΈ 24.07.2019):
+ ```
+ pip install facets-overview
+ ```
+Chartify (π₯24 Β· β 2.8K) - Python library that makes it easy for data scientists to create.. Apache-2
- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 19 Β· π 250 Β· π¦ 52 Β· π 70 - 57% open Β· β±οΈ 02.11.2020):
@@ -1121,7 +1133,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 3.1K / month Β· π¦ 5 Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 2.2K / month Β· π¦ 5 Β· β±οΈ 02.11.2020):
```
pip install chartify
```
@@ -1137,7 +1149,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/jupyter-widgets/pythreejs
```
-- [PyPi](https://pypi.org/project/pythreejs) (π₯ 5.6K / month Β· π¦ 13 Β· β±οΈ 09.10.2020):
+- [PyPi](https://pypi.org/project/pythreejs) (π₯ 5.1K / month Β· π¦ 13 Β· β±οΈ 09.10.2020):
```
pip install pythreejs
```
@@ -1145,87 +1157,91 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge pythreejs
```
-- [NPM](https://www.npmjs.com/package/jupyter-threejs) (π₯ 5.2K / month Β· π¦ 8 Β· β±οΈ 19.03.2020):
+- [NPM](https://www.npmjs.com/package/jupyter-threejs) (π₯ 5.9K / month Β· π¦ 8 Β· β±οΈ 19.03.2020):
```
npm install jupyter-threejs
```
Facets Overview (π₯23 Β· β 6.5K) - Visualizations for machine learning datasets. Apache-2
-
-- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 27 Β· π 790 Β· π¦ 38 Β· π 150 - 48% open Β· β±οΈ 27.10.2020):
-
- ```
- git clone https://github.com/pair-code/facets
- ```
-- [PyPi](https://pypi.org/project/facets-overview) (π₯ 26K / month Β· β±οΈ 24.07.2019):
- ```
- pip install facets-overview
- ```
-Multicore-TSNE (π₯23 Β· β 1.5K) - Parallel t-SNE implementation with Python and Torch.. BSD-3
-- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 15 Β· π 190 Β· π¦ 200 Β· π 53 - 62% open Β· β±οΈ 19.08.2020):
+- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 15 Β· π 190 Β· π¦ 210 Β· π 53 - 62% open Β· β±οΈ 19.08.2020):
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2.1K / month Β· π¦ 14 Β· β±οΈ 08.11.2017):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2K / month Β· π¦ 14 Β· β±οΈ 08.11.2017):
```
pip install MulticoreTSNE
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 5.9K Β· β±οΈ 12.11.2018):
+- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 6K Β· β±οΈ 12.11.2018):
```
conda install -c conda-forge multicore-tsne
```
openTSNE (π₯23 Β· β 740) - Extensible, parallel implementations of t-SNE. BSD-3
+openTSNE (π₯23 Β· β 750) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 10 Β· π 82 Β· π¦ 170 Β· π 71 - 4% open Β· β±οΈ 08.01.2021):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 10 Β· π 82 Β· π¦ 180 Β· π 73 - 6% open Β· β±οΈ 08.01.2021):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 8.2K / month Β· π¦ 4 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 8.4K / month Β· π¦ 4 Β· β±οΈ 08.01.2021):
```
pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 74K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 75K 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¦ 34 Β· π 67 - 19% open Β· β±οΈ 22.01.2021):
+- [GitHub](https://github.com/adamerose/PandasGUI) (π¨βπ» 8 Β· π 120 Β· π¦ 37 Β· π 71 - 22% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/adamerose/pandasgui
```
-- [PyPi](https://pypi.org/project/pandasgui) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/pandasgui) (π₯ 1.2K / 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
+D-Tale (π₯22 Β· β 2K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 12 Β· π 140 Β· π¦ 87 Β· π 300 - 11% open Β· β±οΈ 02.02.2021):
+
+ ```
+ git clone https://github.com/man-group/dtale
+ ```
+- [PyPi](https://pypi.org/project/dtale) (π₯ 3K / month Β· β±οΈ 02.02.2021):
+ ```
+ pip install dtale
+ ```
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 34K Β· β±οΈ 02.02.2021):
+ ```
+ conda install -c conda-forge dtale
+ ```
+Pandas-Bokeh (π₯22 Β· β 610) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
-- [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):
+- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 11 Β· π 77 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₯ 5.1K / month Β· π¦ 10 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 4.2K / 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
+python-ternary (π₯22 Β· β 390) - 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¦ 53 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¦ 55 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₯ 860 / month Β· π¦ 10 Β· β±οΈ 10.05.2020):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 670 / month Β· π¦ 10 Β· β±οΈ 10.05.2020):
```
pip install python-ternary
```
@@ -1234,14 +1250,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge python-ternary
```
vega (π₯22 Β· β 290) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
+vega (π₯22 Β· β 300) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 9 Β· π 46 Β· π 87 - 9% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 9 Β· π 46 Β· π 87 - 9% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 14K / month Β· π¦ 150 Β· β±οΈ 15.05.2020):
+- [PyPi](https://pypi.org/project/vega) (π₯ 16K / month Β· π¦ 150 Β· β±οΈ 15.05.2020):
```
pip install vega
```
@@ -1250,50 +1266,34 @@ _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):
+- [GitHub](https://github.com/sbebo/joypy) (π¨βπ» 5 Β· π 32 Β· π¦ 65 Β· π 38 - 10% open Β· β±οΈ 28.12.2020):
```
git clone https://github.com/sbebo/joypy
```
-- [PyPi](https://pypi.org/project/joypy) (π₯ 2.1K / month Β· π¦ 6 Β· β±οΈ 28.12.2020):
+- [PyPi](https://pypi.org/project/joypy) (π₯ 1.9K / month Β· π¦ 6 Β· β±οΈ 28.12.2020):
```
pip install joypy
```
-- [Conda](https://anaconda.org/conda-forge/joypy) (π₯ 7.8K Β· β±οΈ 28.12.2020):
+- [Conda](https://anaconda.org/conda-forge/joypy) (π₯ 8K Β· β±οΈ 28.12.2020):
```
conda install -c conda-forge joypy
```
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 48 - 14% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 6 Β· π 89 Β· π¦ 2 Β· π 54 - 18% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/facebookresearch/hiplot
```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 1.6K / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/hiplot) (π₯ 1.6K / month Β· β±οΈ 03.02.2021):
```
pip install hiplot
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 42K Β· β±οΈ 23.12.2020):
+- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 44K Β· β±οΈ 23.12.2020):
```
conda install -c conda-forge hiplot
```
@@ -1305,19 +1305,19 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 6.3K / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 5.8K / 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
+lets-plot (π₯19 Β· β 500) - An open-source plotting library for statistical data. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 14 Β· π 15 Β· π 120 - 40% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 14 Β· π 15 Β· π 120 - 40% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 3.9K / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 3K / month Β· β±οΈ 23.12.2020):
```
pip install lets-plot
```
@@ -1329,54 +1329,54 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/animatplot) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 85 / month Β· π¦ 1 Β· β±οΈ 05.10.2020):
```
pip install animatplot
```
-- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 5.1K Β· β±οΈ 06.10.2020):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 5.2K Β· β±οΈ 06.10.2020):
```
conda install -c conda-forge animatplot
```
AutoViz (π₯19 Β· β 290) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+AutoViz (π₯19 Β· β 300) - 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¦ 27 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¦ 28 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₯ 940 / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 880 / month Β· β±οΈ 10.12.2020):
```
pip install autoviz
```
PyWaffle (π₯18 Β· β 380) - Make Waffle Charts in Python. MIT
+PyWaffle (π₯18 Β· β 390 Β· π€) - Make Waffle Charts in Python. MIT
-- [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):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 63 Β· π¦ 41 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₯ 720 / month Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 640 / 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
+FiftyOne (π₯18 Β· β 200) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 10 Β· π 15 Β· π 310 - 37% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 10 Β· π 16 Β· π 330 - 37% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 260 / month Β· β±οΈ 16.01.2021):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 300 / month Β· β±οΈ 28.01.2021):
```
pip install fiftyone
```
nx-altair (π₯13 Β· β 160 Β· π€) - Draw interactive NetworkX graphs with Altair. MIT
-- [GitHub](https://github.com/Zsailer/nx_altair) (π¨βπ» 3 Β· π 19 Β· π 8 - 50% open Β· β±οΈ 02.06.2020):
+- [GitHub](https://github.com/Zsailer/nx_altair) (π¨βπ» 3 Β· π 19 Β· π 9 - 55% open Β· β±οΈ 02.06.2020):
```
git clone https://github.com/Zsailer/nx_altair
@@ -1388,7 +1388,7 @@ _General-purpose and task-specific data visualization libraries._
Show 6 hidden projects...
-- plotnine (π₯28 Β· β 2.5K) - A grammar of graphics for Python. βοΈGPL-2.0
+- plotnine (π₯27 Β· β 2.6K) - A grammar of graphics for Python. βοΈGPL-2.0
- PDPbox (π₯23 Β· β 520 Β· π) - python partial dependence plot toolbox. MIT
- pivottablejs (π₯19 Β· β 420 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT βοΈGPL-2.0 spaCy (π₯37 Β· β 18K) - Industrial-strength Natural Language Processing (NLP) with Python and Cython. MIT
+spaCy (π₯37 Β· β 19K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [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):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 560 Β· π 3.2K Β· π₯ 2.9K Β· π¦ 21K Β· π 4.3K - 1% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 740K / month Β· π¦ 3.1K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 670K / month Β· π¦ 3.1K Β· β±οΈ 02.02.2021):
```
pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 1.4M Β· β±οΈ 18.12.2020):
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 1.4M Β· β±οΈ 04.02.2021):
```
conda install -c conda-forge spacy
```
transformers (π₯36 Β· β 40K) - Transformers: State-of-the-art Natural Language.. Apache-2
-- [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):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 770 Β· π 9.8K Β· π₯ 1.3K Β· π¦ 7.4K Β· π 5.9K - 9% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 570K / month Β· π¦ 130 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 530K / month Β· π¦ 130 Β· β±οΈ 21.01.2021):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 17K Β· β±οΈ 21.01.2021):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 18K Β· β±οΈ 21.01.2021):
```
conda install -c conda-forge transformers
```
gensim (π₯35 Β· β 12K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [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):
+- [GitHub](https://github.com/RaRe-Technologies/gensim) (π¨βπ» 390 Β· π 3.9K Β· π₯ 3K Β· π¦ 21K Β· π 1.6K - 21% open Β· β±οΈ 31.01.2021):
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 5.8M / month Β· π¦ 4.7K Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.7M / month Β· π¦ 4.7K Β· β±οΈ 15.11.2020):
```
pip install gensim
```
@@ -1453,12 +1453,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
nltk (π₯34 Β· β 9.6K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [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/nltk/nltk) (π¨βπ» 390 Β· π 2.4K Β· π¦ 88K Β· π 1.5K - 15% open Β· β±οΈ 02.01.2021):
```
git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 4.2M / month Β· π¦ 21K Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 3.5M / month Β· π¦ 21K Β· β±οΈ 12.04.2020):
```
pip install nltk
```
@@ -1467,54 +1467,42 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge nltk
```
AllenNLP (π₯32 Β· β 9.6K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2
+AllenNLP (π₯32 Β· β 9.7K) - An open-source NLP research library, built on PyTorch. Apache-2
-- [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):
+- [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 03.02.2021):
```
git clone https://github.com/allenai/allennlp
```
-- [PyPi](https://pypi.org/project/allennlp) (π₯ 13K / month Β· π¦ 230 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/allennlp) (π₯ 13K / month Β· π¦ 230 Β· β±οΈ 04.02.2021):
```
pip install allennlp
```
ChatterBot (π₯31 Β· β 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
-
-- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 100 Β· π 3.7K Β· π¦ 3.1K Β· π 1.4K - 15% open Β· β±οΈ 20.08.2020):
-
- ```
- git clone https://github.com/gunthercox/ChatterBot
- ```
-- [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 4.8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 48 Β· π 630 Β· π₯ 10K Β· π¦ 5.6K 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¦ 5.7K 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₯ 810K / month Β· π¦ 240 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 700K / month Β· π¦ 240 Β· β±οΈ 10.01.2021):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 25K Β· β±οΈ 08.01.2021):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 26K 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
+fastText (π₯30 Β· β 22K Β· π€) - Library for fast text representation and classification. MIT
- [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₯ 99K / month Β· π¦ 190 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 91K / month Β· π¦ 190 Β· β±οΈ 28.04.2020):
```
pip install fasttext
```
@@ -1525,24 +1513,36 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (π₯30 Β· β 11K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [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):
+- [GitHub](https://github.com/pytorch/fairseq) (π¨βπ» 300 Β· π 2.8K Β· π₯ 81 Β· π¦ 290 Β· π 2.4K - 26% open Β· β±οΈ 03.02.2021):
```
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):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 6.8K / month Β· π¦ 20 Β· β±οΈ 05.01.2021):
```
pip install fairseq
```
ChatterBot (π₯30 Β· β 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
+
+- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 100 Β· π 3.7K Β· π¦ 3.1K Β· π 1.4K - 15% open Β· β±οΈ 20.08.2020):
+
+ ```
+ git clone https://github.com/gunthercox/ChatterBot
+ ```
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 17K / month Β· π¦ 680 Β· β±οΈ 22.08.2020):
+ ```
+ pip install chatterbot
+ ```
+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):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 160 Β· π 1.4K Β· π¦ 610 Β· π 1.4K - 7% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 34K / month Β· π¦ 48 Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/flair) (π₯ 33K / month Β· π¦ 48 Β· β±οΈ 01.12.2020):
```
pip install flair
```
@@ -1554,19 +1554,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 74K / month Β· π¦ 680 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 70K / month Β· π¦ 680 Β· β±οΈ 10.12.2020):
```
pip install torchtext
```
snowballstemmer (π₯30 Β· β 470 Β· π) - Snowball compiler and stemming algorithms. BSD-3
+snowballstemmer (π₯30 Β· β 470) - Snowball compiler and stemming algorithms. BSD-3
-- [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):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 25 Β· π 130 Β· π¦ 44K Β· π 59 - 28% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 2M / month Β· π¦ 13K Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 1.9M / month Β· π¦ 13K Β· β±οΈ 21.01.2021):
```
pip install snowballstemmer
```
@@ -1577,12 +1577,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
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¦ 10K 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 - 32% open Β· β±οΈ 11.01.2021):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 210K / month Β· π¦ 2.5K Β· β±οΈ 24.02.2019):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 190K / month Β· π¦ 2.5K Β· β±οΈ 24.02.2019):
```
pip install textblob
```
@@ -1591,26 +1591,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
Rasa (π₯28 Β· β 11K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
-
-- [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/RasaHQ/rasa
- ```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 62K / month Β· π¦ 64 Β· β±οΈ 25.01.2021):
- ```
- pip install rasa
- ```
-stanza (π₯28 Β· β 5.1K Β· π) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
+stanza (π₯28 Β· β 5.2K) - 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):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 32 Β· π 650 Β· π¦ 320 Β· π 460 - 12% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
```
pip install stanza
```
@@ -1621,40 +1609,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
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¦ 67 Β· π 1.2K - 7% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 160 Β· π 1.8K Β· π¦ 68 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₯ 3.3K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 3.1K / 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 310 Β· π¦ 25 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 380 - 21% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 710K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 630K / month Β· β±οΈ 12.01.2021):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 20K Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 21K 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
+sentence-transformers (π₯28 Β· β 4.1K) - Sentence Embeddings with BERT & XLNet. Apache-2
-- [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):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 39 Β· π 780 Β· π¦ 610 Β· π 680 - 46% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 190K / month Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 250K / month Β· β±οΈ 04.01.2021):
```
pip install sentence-transformers
```
@@ -1666,7 +1654,7 @@ _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₯ 39K / month Β· π¦ 78 Β· β±οΈ 06.09.2020):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 35K / month Β· π¦ 78 Β· β±οΈ 06.09.2020):
```
pip install dedupe
```
@@ -1678,7 +1666,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/daviddrysdale/python-phonenumbers
```
-- [PyPi](https://pypi.org/project/phonenumbers) (π₯ 600K / month Β· π¦ 2.3K Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/phonenumbers) (π₯ 550K / month Β· π¦ 2.3K Β· β±οΈ 27.01.2021):
```
pip install phonenumbers
```
@@ -1687,14 +1675,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge phonenumbers
```
inflect (π₯28 Β· β 470) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT
+inflect (π₯28 Β· β 480) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT
- [GitHub](https://github.com/jaraco/inflect) (π¨βπ» 25 Β· π 57 Β· π 71 - 18% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/jaraco/inflect
```
-- [PyPi](https://pypi.org/project/inflect) (π₯ 780K / month Β· π¦ 1.4K Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/inflect) (π₯ 710K / month Β· π¦ 1.4K Β· β±οΈ 15.11.2020):
```
pip install inflect
```
@@ -1703,47 +1691,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
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» 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₯ 26K / month Β· π¦ 11 Β· β±οΈ 13.08.2020):
- ```
- pip install gluonnlp
- ```
-textacy (π₯27 Β· β 1.6K) - NLP, before and after spaCy. Apache-2
+Rasa (π₯27 Β· β 11K) - Open source machine learning framework to automate text- and voice-.. 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):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 460 Β· π 3.3K Β· π 5K - 10% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/chartbeat-labs/textacy
- ```
-- [PyPi](https://pypi.org/project/textacy) (π₯ 20K / month Β· π¦ 77 Β· β±οΈ 29.08.2020):
- ```
- pip install textacy
+ git clone https://github.com/RasaHQ/rasa
```
-- [Conda](https://anaconda.org/conda-forge/textacy) (π₯ 74K Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 55K / month Β· π¦ 64 Β· β±οΈ 02.02.2021):
```
- conda install -c conda-forge textacy
+ pip install rasa
```
DeepPavlov (π₯26 Β· β 5K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- [GitHub](https://github.com/deepmipt/DeepPavlov) (π¨βπ» 61 Β· π 890 Β· π¦ 170 Β· π 530 - 15% open Β· β±οΈ 24.12.2020):
+- [GitHub](https://github.com/deepmipt/DeepPavlov) (π¨βπ» 61 Β· π 890 Β· π¦ 170 Β· π 540 - 16% open Β· β±οΈ 24.12.2020):
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 3.5K / month Β· π¦ 4 Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 3.3K / month Β· π¦ 4 Β· β±οΈ 24.12.2020):
```
pip install deeppavlov
```
ftfy (π₯26 Β· β 2.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
+ftfy (π₯26 Β· β 2.9K Β· π€) - 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¦ 2.7K Β· π 110 - 14% open Β· β±οΈ 17.07.2020):
@@ -1759,68 +1731,84 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge ftfy
```
TensorFlow Text (π₯26 Β· β 690) - Making text a first-class citizen in TensorFlow. Apache-2
+GluonNLP (π₯26 Β· β 2.2K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2
-- [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):
+- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 79 Β· π 490 Β· π¦ 390 Β· π 510 - 44% open Β· β±οΈ 02.02.2021):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/dmlc/gluon-nlp
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 120K / month Β· π¦ 4 Β· β±οΈ 13.01.2021):
+- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 23K / month Β· π¦ 11 Β· β±οΈ 13.08.2020):
```
- pip install tensorflow-text
+ pip install gluonnlp
```
PyText (π₯25 Β· β 6.1K) - A natural language modeling framework based on PyTorch. BSD-3
+TextDistance (π₯26 Β· β 1.9K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [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):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 9 Β· π 160 Β· π₯ 98 Β· π¦ 320 Β· β±οΈ 29.01.2021):
```
- git clone https://github.com/facebookresearch/pytext
+ git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 220 / month Β· π¦ 1 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 85K / month Β· π¦ 28 Β· β±οΈ 29.01.2021):
```
- pip install pytext-nlp
+ pip install textdistance
+ ```
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 21K Β· β±οΈ 29.01.2021):
+ ```
+ conda install -c conda-forge textdistance
```
vaderSentiment (π₯25 Β· β 2.8K Β· π€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+textacy (π₯26 Β· β 1.6K) - NLP, before and after spaCy. Apache-2
-- [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):
+- [GitHub](https://github.com/chartbeat-labs/textacy) (π¨βπ» 29 Β· π 210 Β· π 220 - 13% open Β· β±οΈ 09.01.2021):
```
- git clone https://github.com/cjhutto/vaderSentiment
+ git clone https://github.com/chartbeat-labs/textacy
```
-- [PyPi](https://pypi.org/project/vadersentiment) (π₯ 82K / month Β· π¦ 290 Β· β±οΈ 22.05.2020):
+- [PyPi](https://pypi.org/project/textacy) (π₯ 24K / month Β· π¦ 77 Β· β±οΈ 29.08.2020):
```
- pip install vadersentiment
+ pip install textacy
+ ```
+- [Conda](https://anaconda.org/conda-forge/textacy) (π₯ 75K Β· β±οΈ 19.11.2020):
+ ```
+ conda install -c conda-forge textacy
```
spark-nlp (π₯25 Β· β 1.9K) - State of the Art Natural Language Processing. Apache-2
+TensorFlow Text (π₯26 Β· β 690) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 74 Β· π 390 Β· π 410 - 17% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 32 Β· π 85 Β· π¦ 450 Β· π 120 - 32% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/JohnSnowLabs/spark-nlp
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 340K / month Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 97K / month Β· π¦ 4 Β· β±οΈ 13.01.2021):
```
- pip install spark-nlp
+ pip install tensorflow-text
```
TextDistance (π₯25 Β· β 1.9K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
+PyText (π₯25 Β· β 6.1K) - A natural language modeling framework based on PyTorch. BSD-3
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 7 Β· π 160 Β· π₯ 98 Β· π¦ 310 Β· β±οΈ 13.04.2020):
+- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 150 Β· π 760 Β· π₯ 220 Β· π¦ 63 Β· π 190 - 60% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/life4/textdistance
+ git clone https://github.com/facebookresearch/pytext
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 85K / month Β· π¦ 28 Β· β±οΈ 13.04.2020):
+- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 27.04.2020):
```
- pip install textdistance
+ pip install pytext-nlp
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 19K Β· β±οΈ 10.11.2020):
+spark-nlp (π₯25 Β· β 1.9K) - State of the Art Natural Language Processing. Apache-2
+
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 75 Β· π 410 Β· π 420 - 17% open Β· β±οΈ 03.02.2021):
+
```
- conda install -c conda-forge textdistance
+ git clone https://github.com/JohnSnowLabs/spark-nlp
+ ```
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 300K / month Β· β±οΈ 25.01.2021):
+ ```
+ pip install spark-nlp
```
jellyfish (π₯25 Β· β 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2
@@ -1830,7 +1818,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 660K / month Β· π¦ 650 Β· β±οΈ 21.05.2020):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 600K / month Β· π¦ 650 Β· β±οΈ 21.05.2020):
```
pip install jellyfish
```
@@ -1841,12 +1829,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pyahocorasick (π₯25 Β· β 570) - Python module (C extension and plain python) implementing Aho-.. BSD-3
-- [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):
+- [GitHub](https://github.com/WojciechMula/pyahocorasick) (π¨βπ» 20 Β· π 88 Β· π¦ 490 Β· π 98 - 32% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/WojciechMula/pyahocorasick
```
-- [PyPi](https://pypi.org/project/pyahocorasick) (π₯ 77K / month Β· π¦ 100 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/pyahocorasick) (π₯ 79K / month Β· π¦ 100 Β· β±οΈ 26.01.2021):
```
pip install pyahocorasick
```
@@ -1855,126 +1843,150 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
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
+ParlAI (π₯24 Β· β 7K) - 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¦ 6 Β· π 930 - 9% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 140 Β· π 1.4K Β· π¦ 8 Β· π 930 - 9% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 740 / month Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 780 / month Β· β±οΈ 19.01.2021):
```
pip install parlai
```
textgenrnn (π₯24 Β· β 4.2K) - Easily train your own text-generating neural network of any size.. MIT
+textgenrnn (π₯24 Β· β 4.2K Β· π€) - Easily train your own text-generating neural network of any.. MIT
-- [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):
+- [GitHub](https://github.com/minimaxir/textgenrnn) (π¨βπ» 19 Β· π 650 Β· π₯ 400 Β· π¦ 620 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₯ 1.8K / month Β· π¦ 14 Β· β±οΈ 02.02.2020):
+- [PyPi](https://pypi.org/project/textgenrnn) (π₯ 1.7K / month Β· π¦ 14 Β· β±οΈ 02.02.2020):
```
pip install textgenrnn
```
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 25.01.2021):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 29 Β· π 420 Β· π¦ 23 Β· π 330 - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 5.5K / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/t5) (π₯ 4.9K / month Β· β±οΈ 18.12.2020):
```
pip install t5
```
Sumy (π₯24 Β· β 2.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2
+vaderSentiment (π₯24 Β· β 2.8K Β· π€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 20 Β· π 440 Β· π¦ 640 Β· π 88 - 11% open Β· β±οΈ 21.11.2020):
+- [GitHub](https://github.com/cjhutto/vaderSentiment) (π¨βπ» 10 Β· π 720 Β· π¦ 2.3K Β· π 99 - 25% open Β· β±οΈ 22.05.2020):
```
- git clone https://github.com/miso-belica/sumy
+ git clone https://github.com/cjhutto/vaderSentiment
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 5.2K / month Β· π¦ 190 Β· β±οΈ 19.05.2019):
+- [PyPi](https://pypi.org/project/vadersentiment) (π₯ 59K / month Β· π¦ 290 Β· β±οΈ 22.05.2020):
```
- pip install sumy
+ pip install vadersentiment
```
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¦ 22 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¦ 23 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₯ 440 / month Β· π¦ 1 Β· β±οΈ 04.02.2019):
+- [PyPi](https://pypi.org/project/fastnlp) (π₯ 340 / month Β· π¦ 1 Β· β±οΈ 04.02.2019):
```
pip install fastnlp
```
pytorch-nlp (π₯24 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₯ 2K / month Β· π¦ 18 Β· β±οΈ 04.11.2019):
+ ```
+ pip install pytorch-nlp
+ ```
+PyTextRank (π₯24 Β· β 1.4K) - Python implementation of TextRank for phrase extraction and.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 10 Β· π 290 Β· π¦ 120 Β· π 54 - 31% open Β· β±οΈ 21.09.2020):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 13 Β· π 290 Β· π¦ 120 Β· π 54 - 31% open Β· β±οΈ 31.01.2021):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 8.9K / month Β· π¦ 6 Β· β±οΈ 15.09.2020):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 6.5K / month Β· π¦ 6 Β· β±οΈ 15.09.2020):
```
pip install pytextrank
```
haystack (π₯24 Β· β 1.3K) - Transformers at scale for question answering & neural search. Using.. Apache-2
-- [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):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 32 Β· π 240 Β· π¦ 31 Β· π 450 - 14% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 670 / month Β· π¦ 74 Β· β±οΈ 03.07.2017):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 620 / month Β· π¦ 74 Β· β±οΈ 03.07.2017):
```
pip install haystack
```
CLTK (π₯24 Β· β 630) - The Classical Language Toolkit. MIT
+spacy-transformers (π₯24 Β· β 890) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [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/explosion/spacy-transformers) (π¨βπ» 15 Β· π 100 Β· π¦ 78 Β· β±οΈ 02.02.2021):
```
- git clone https://github.com/cltk/cltk
+ git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 1K / month Β· π¦ 68 Β· β±οΈ 01.01.2021):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 01.02.2021):
```
- pip install cltk
+ pip install spacy-transformers
```
Ciphey (π₯23 Β· β 6.2K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+CLTK (π₯24 Β· β 630) - The Classical Language Toolkit. MIT
+
+- [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/cltk/cltk
+ ```
+- [PyPi](https://pypi.org/project/cltk) (π₯ 900 / month Β· π¦ 68 Β· β±οΈ 01.01.2021):
+ ```
+ pip install cltk
+ ```
+Ciphey (π₯23 Β· β 6.2K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 38 Β· π 340 Β· π 220 - 21% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 38 Β· π 350 Β· π 220 - 21% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 2.4K / month Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 2K / month Β· β±οΈ 02.12.2020):
```
pip install ciphey
```
-- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 7.6K Β· β 1 Β· β±οΈ 17.12.2020):
+- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 7.7K Β· β 2 Β· β±οΈ 17.12.2020):
```
docker pull remnux/ciphey
```
flashtext (π₯23 Β· β 4.6K Β· π€) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- [GitHub](https://github.com/vi3k6i5/flashtext) (π¨βπ» 8 Β· π 520 Β· π¦ 340 Β· π 97 - 49% open Β· β±οΈ 03.05.2020):
+- [GitHub](https://github.com/vi3k6i5/flashtext) (π¨βπ» 8 Β· π 520 Β· π¦ 350 Β· π 97 - 49% open Β· β±οΈ 03.05.2020):
```
git clone https://github.com/vi3k6i5/flashtext
```
-- [PyPi](https://pypi.org/project/flashtext) (π₯ 180K / month Β· π¦ 32 Β· β±οΈ 16.02.2018):
+- [PyPi](https://pypi.org/project/flashtext) (π₯ 150K / month Β· π¦ 32 Β· β±οΈ 16.02.2018):
```
pip install flashtext
```
@@ -1986,87 +1998,75 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
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):
+- [PyPi](https://pypi.org/project/snips-nlu) (π₯ 1.2K / 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
+Sumy (π₯23 Β· β 2.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [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):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 20 Β· π 440 Β· π¦ 650 Β· π 88 - 11% open Β· β±οΈ 21.11.2020):
```
- git clone https://github.com/huggingface/neuralcoref
- ```
-- [PyPi](https://pypi.org/project/neuralcoref) (π₯ 2.3K / month Β· π¦ 18 Β· β±οΈ 08.04.2019):
- ```
- pip install neuralcoref
+ git clone https://github.com/miso-belica/sumy
```
-- [Conda](https://anaconda.org/conda-forge/neuralcoref) (π₯ 5.7K Β· β±οΈ 21.02.2020):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 5.1K / month Β· π¦ 190 Β· β±οΈ 19.05.2019):
```
- conda install -c conda-forge neuralcoref
+ pip install sumy
```
pytorch-nlp (π₯23 Β· β 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
+neuralcoref (π₯23 Β· β 2.2K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-- [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):
+- [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/PetrochukM/PyTorch-NLP
+ git clone https://github.com/huggingface/neuralcoref
```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 2.3K / month Β· π¦ 18 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/neuralcoref) (π₯ 2.2K / month Β· π¦ 18 Β· β±οΈ 08.04.2019):
```
- pip install pytorch-nlp
+ pip install neuralcoref
+ ```
+- [Conda](https://anaconda.org/conda-forge/neuralcoref) (π₯ 5.8K Β· β±οΈ 21.02.2020):
+ ```
+ conda install -c conda-forge neuralcoref
```
sense2vec (π₯23 Β· β 1.1K Β· π€) - Contextually-keyed word vectors. MIT
+sense2vec (π₯23 Β· β 1.2K Β· π€) - Contextually-keyed word vectors. MIT
-- [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):
+- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 14 Β· π 200 Β· π₯ 13K Β· π¦ 49 Β· π 94 - 17% open Β· β±οΈ 29.05.2020):
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.2K / month Β· π¦ 6 Β· β±οΈ 22.11.2019):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 1.9K / month Β· π¦ 6 Β· β±οΈ 22.11.2019):
```
pip install sense2vec
```
-- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 14K Β· β±οΈ 16.03.2020):
+- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 15K Β· β±οΈ 16.03.2020):
```
conda install -c conda-forge sense2vec
```
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 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₯ 8.8K / month Β· π¦ 6 Β· β±οΈ 26.01.2021):
- ```
- pip install spacy-transformers
- ```
-SciSpacy (π₯23 Β· β 790) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
+SciSpacy (π₯23 Β· β 800) - 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₯ 6.6K / month Β· π¦ 12 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 7K / 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
+pySBD (π₯23 Β· β 270) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- [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₯ 8.2K / month Β· π¦ 2 Β· β±οΈ 08.10.2020):
+- [PyPi](https://pypi.org/project/pysbd) (π₯ 8.7K / month Β· π¦ 2 Β· β±οΈ 08.10.2020):
```
pip install pysbd
```
@@ -2078,7 +2078,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 1.6K / month Β· π¦ 8 Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 18.01.2021):
```
pip install scattertext
```
@@ -2087,18 +2087,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge scattertext
```
fast-bert (π₯22 Β· β 1.5K) - Super easy library for BERT based NLP models. Apache-2
-
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 34 Β· π 300 Β· π 230 - 60% open Β· β±οΈ 17.12.2020):
-
- ```
- git clone https://github.com/kaushaltrivedi/fast-bert
- ```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 09.12.2020):
- ```
- pip install fast-bert
- ```
-DeepMatcher (π₯21 Β· β 3.4K Β· π€) - Python package for performing Entity and Text Matching using.. BSD-3
- [GitHub](https://github.com/anhaidgroup/deepmatcher) (π¨βπ» 7 Β· π 1.3K Β· π¦ 10 Β· π 62 - 75% open Β· β±οΈ 20.04.2020):
@@ -2106,7 +2094,7 @@ _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₯ 220 / month Β· β±οΈ 30.12.2019):
+- [PyPi](https://pypi.org/project/deepmatcher) (π₯ 190 / month Β· β±οΈ 30.12.2019):
```
pip install deepmatcher
```
@@ -2118,31 +2106,43 @@ _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₯ 170 / month Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 220 / month Β· β±οΈ 12.04.2020):
```
pip install nlp-architect
```
Texar (π₯21 Β· β 2.1K) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2
+Texar (π₯21 Β· β 2.1K Β· π€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2
- [GitHub](https://github.com/asyml/texar) (π¨βπ» 41 Β· π 330 Β· π¦ 12 Β· π 160 - 20% open Β· β±οΈ 29.07.2020):
```
git clone https://github.com/asyml/texar
```
-- [PyPi](https://pypi.org/project/texar) (π₯ 100 / month Β· π¦ 2 Β· β±οΈ 19.11.2019):
+- [PyPi](https://pypi.org/project/texar) (π₯ 87 / month Β· π¦ 2 Β· β±οΈ 19.11.2019):
```
pip install texar
```
fast-bert (π₯21 Β· β 1.5K) - Super easy library for BERT based NLP models. Apache-2
+
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 34 Β· π 300 Β· π 230 - 60% open Β· β±οΈ 17.12.2020):
+
+ ```
+ git clone https://github.com/kaushaltrivedi/fast-bert
+ ```
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 09.12.2020):
+ ```
+ pip install fast-bert
+ ```
+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» 30 Β· π 150 Β· π 320 - 9% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/deepset-ai/FARM) (π¨βπ» 30 Β· π 150 Β· π 330 - 9% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/deepset-ai/FARM
```
-- [PyPi](https://pypi.org/project/farm) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/farm) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
```
pip install farm
```
@@ -2154,19 +2154,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/minimaxir/gpt-2-simple
```
-- [PyPi](https://pypi.org/project/gpt-2-simple) (π₯ 4.4K / month Β· π¦ 3 Β· β±οΈ 28.12.2019):
+- [PyPi](https://pypi.org/project/gpt-2-simple) (π₯ 3.6K / 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
+NeMo (π₯20 Β· β 2.4K) - NeMo: a toolkit for conversational AI. Apache-2
-- [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):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 72 Β· π 380 Β· π₯ 1.5K Β· π 430 - 38% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 1.3K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 1.2K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
```
pip install nemo-toolkit
```
@@ -2178,7 +2178,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jbesomi/texthero
```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 2K / month Β· β±οΈ 06.07.2020):
+- [PyPi](https://pypi.org/project/texthero) (π₯ 1.6K / month Β· β±οΈ 06.07.2020):
```
pip install texthero
```
@@ -2194,43 +2194,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install delta-nlp
```
-- [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (π₯ 12K Β· β±οΈ 25.01.2021):
+- [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (π₯ 12K Β· β±οΈ 03.02.2021):
```
docker pull zh794390558/delta
```
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 27.01.2021):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 52 Β· π 290 Β· π 240 - 8% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 280 / month Β· π¦ 2 Β· β±οΈ 08.01.2021):
```
pip install sockeye
```
YouTokenToMe (π₯20 Β· β 710 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
+YouTokenToMe (π₯20 Β· β 710) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- [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):
+- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 6 Β· π 43 Β· π¦ 98 Β· π 41 - 46% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/vkcom/youtokentome
```
-- [PyPi](https://pypi.org/project/youtokentome) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 12.02.2020):
+- [PyPi](https://pypi.org/project/youtokentome) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 12.02.2020):
```
pip install youtokentome
```
Kashgari (π₯19 Β· β 2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2
-- [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/BrikerMan/Kashgari) (π¨βπ» 19 Β· π 380 Β· π¦ 19 Β· π 340 - 9% open Β· β±οΈ 29.10.2020):
```
git clone https://github.com/BrikerMan/Kashgari
```
-- [PyPi](https://pypi.org/project/kashgari-tf) (π₯ 90 / month Β· π¦ 1 Β· β±οΈ 26.06.2019):
+- [PyPi](https://pypi.org/project/kashgari-tf) (π₯ 75 / month Β· π¦ 1 Β· β±οΈ 26.06.2019):
```
pip install kashgari-tf
```
@@ -2242,69 +2242,81 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 100 / month Β· π¦ 2 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 140 / 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
+textpipe (π₯19 Β· β 270) - Textpipe: clean and extract metadata from text. MIT
- [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₯ 700 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/textpipe) (π₯ 670 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
```
pip install textpipe
```
Camphr (π₯18 Β· β 320) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy
+Camphr (π₯18 Β· β 330) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy
-- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (π¨βπ» 7 Β· π 16 Β· π 29 - 44% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (π¨βπ» 7 Β· π 16 Β· π 31 - 48% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/PKSHATechnology-Research/camphr
```
-- [PyPi](https://pypi.org/project/camphr) (π₯ 310 / month Β· β±οΈ 25.12.2020):
+- [PyPi](https://pypi.org/project/camphr) (π₯ 290 / month Β· β±οΈ 03.02.2021):
```
pip install camphr
```
skift (π₯18 Β· β 210) - scikit-learn wrappers for Python fastText. MIT
+skift (π₯17 Β· β 210) - scikit-learn wrappers for Python fastText. MIT
- [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/shaypal5/skift
```
-- [PyPi](https://pypi.org/project/skift) (π₯ 880 / month Β· β±οΈ 27.08.2020):
+- [PyPi](https://pypi.org/project/skift) (π₯ 840 / month Β· β±οΈ 27.08.2020):
```
pip install skift
```
VizSeq (π₯16 Β· β 310) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+Headliner (π₯16 Β· β 220 Β· π€) - Easy training and deployment of seq2seq models. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 39 Β· π¦ 1 Β· π 15 - 46% open Β· β±οΈ 13.12.2020):
+- [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/facebookresearch/vizseq
+ git clone https://github.com/as-ideas/headliner
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 48 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/headliner) (π₯ 87 / month Β· π¦ 1 Β· β±οΈ 24.01.2020):
```
- pip install vizseq
+ pip install headliner
```
Headliner (π₯16 Β· β 220 Β· π€) - Easy training and deployment of seq2seq models. MIT
+Translate (π₯15 Β· β 680) - Translate - a PyTorch Language Library. BSD-3
-- [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):
+- [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/as-ideas/headliner
+ git clone https://github.com/pytorch/translate
```
-- [PyPi](https://pypi.org/project/headliner) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 24.01.2020):
+- [PyPi](https://pypi.org/project/pytorch-translate) (π₯ 5 / month Β· β±οΈ 01.05.2018):
```
- pip install headliner
+ pip install pytorch-translate
+ ```
+VizSeq (π₯15 Β· β 310) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 39 Β· π¦ 1 Β· π 15 - 46% open Β· β±οΈ 13.12.2020):
+
+ ```
+ git clone https://github.com/facebookresearch/vizseq
+ ```
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 35 / month Β· β±οΈ 07.08.2020):
+ ```
+ pip install vizseq
```
NeuralQA (π₯15 Β· β 180) - NeuralQA: A Usable Library for Question Answering on Large Datasets with.. MIT
@@ -2327,18 +2339,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
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):
@@ -2346,7 +2346,7 @@ _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₯ 41 / month Β· β±οΈ 28.05.2020):
+- [PyPi](https://pypi.org/project/transfer-nlp) (π₯ 21 / month Β· β±οΈ 28.05.2020):
```
pip install transfer-nlp
```
@@ -2358,7 +2358,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/textvec/textvec
```
-- [PyPi](https://pypi.org/project/textvec) (π₯ 61 / month Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/textvec) (π₯ 41 / month Β· β±οΈ 03.12.2020):
```
pip install textvec
```
@@ -2372,8 +2372,8 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- MatchZoo (π₯20 Β· β 3.3K Β· π) - Facilitating the design, comparison and sharing of deep.. 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₯13 Β· β 140 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
+- NeuroNER (π₯17 Β· β 1.5K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
+- ONNX-T5 (π₯15 Β· β 140 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
@@ -2383,52 +2383,52 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
-Pillow (π₯39 Β· β 8.1K) - The friendly PIL fork (Python Imaging Library). βοΈPIL
+Pillow (π₯39 Β· β 8.2K) - 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 27.01.2021):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 340 Β· π 1.6K Β· π¦ 400K Β· π 2.1K - 11% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 11M / month Β· π¦ 110K Β· β±οΈ 02.01.2021):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 9.6M / month Β· π¦ 110K Β· β±οΈ 02.01.2021):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 6.9M Β· β±οΈ 11.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 7M 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
+scikit-image (π₯36 Β· β 4.2K) - Image processing in Python. BSD-2
-- [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):
+- [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 02.02.2021):
```
- git clone https://github.com/pytorch/vision
+ git clone https://github.com/scikit-image/scikit-image
```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 520K / month Β· π¦ 4.6K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/scikit-image) (π₯ 1.3M / month Β· π¦ 15K Β· β±οΈ 23.12.2020):
```
- pip install torchvision
+ pip install scikit-image
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 34K Β· β±οΈ 14.10.2018):
+- [Conda](https://anaconda.org/conda-forge/scikit-image) (π₯ 2.1M Β· β±οΈ 21.01.2021):
```
- conda install -c conda-forge torchvision
+ conda install -c conda-forge scikit-image
```
scikit-image (π₯36 Β· β 4.2K) - Image processing in Python. BSD-2
+torchvision (π₯35 Β· β 8.3K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [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):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 360 Β· π 4.3K Β· π¦ 41K Β· π 1.5K - 29% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/scikit-image/scikit-image
+ git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/scikit-image) (π₯ 1.4M / month Β· π¦ 15K Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 420K / month Β· π¦ 4.6K Β· β±οΈ 10.12.2020):
```
- pip install scikit-image
+ pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/scikit-image) (π₯ 2.1M Β· β±οΈ 21.01.2021):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 34K Β· β±οΈ 14.10.2018):
```
- conda install -c conda-forge scikit-image
+ conda install -c conda-forge torchvision
```
imgaug (π₯31 Β· β 11K Β· π€) - Image augmentation for machine learning experiments. MIT
@@ -2438,27 +2438,27 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/aleju/imgaug
```
-- [PyPi](https://pypi.org/project/imgaug) (π₯ 100K / month Β· π¦ 280 Β· β±οΈ 05.02.2020):
+- [PyPi](https://pypi.org/project/imgaug) (π₯ 94K / month Β· π¦ 280 Β· β±οΈ 05.02.2020):
```
pip install imgaug
```
-- [Conda](https://anaconda.org/conda-forge/imgaug) (π₯ 32K Β· β±οΈ 14.02.2020):
+- [Conda](https://anaconda.org/conda-forge/imgaug) (π₯ 33K 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
+imageio (π₯31 Β· β 830) - Python library for reading and writing image data. BSD-2
-- [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):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 73 Β· π 170 Β· π¦ 36K Β· π 340 - 19% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 1.5M / month Β· π¦ 3.8K Β· β±οΈ 06.07.2020):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 1.3M / month Β· π¦ 3.8K Β· β±οΈ 06.07.2020):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 1.6M Β· β±οΈ 06.07.2020):
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 1.7M Β· β±οΈ 06.07.2020):
```
conda install -c conda-forge imageio
```
@@ -2470,12 +2470,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/skvark/opencv-python
```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 1.7M / month Β· π¦ 13K Β· β±οΈ 02.01.2021):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 1.4M / 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
+Wand (π₯30 Β· β 1.1K) - 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¦ 3.2K Β· π 330 - 3% open Β· β±οΈ 20.01.2021):
@@ -2494,19 +2494,19 @@ _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₯ 23K / month Β· π¦ 410 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/face_recognition) (π₯ 19K / 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
+MoviePy (π₯29 Β· β 7.3K) - Video editing with Python. MIT
-- [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):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 140 Β· π 1K Β· π¦ 5.9K 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₯ 99K / month Β· π¦ 1.1K Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 95K / month Β· π¦ 1.1K Β· β±οΈ 05.10.2020):
```
pip install moviepy
```
@@ -2517,23 +2517,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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 410 - 42% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 73 Β· π 920 Β· π¦ 2.7K Β· π 410 - 42% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 50K / month Β· π¦ 130 Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 45K / month Β· π¦ 130 Β· β±οΈ 29.11.2020):
```
pip install albumentations
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 14K Β· β±οΈ 29.11.2020):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 15K Β· β±οΈ 29.11.2020):
```
conda install -c conda-forge albumentations
```
Kornia (π₯28 Β· β 3.5K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2
+Kornia (π₯28 Β· β 3.6K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2
-- [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):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 84 Β· π 350 Β· π¦ 260 Β· π 350 - 29% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/kornia/kornia
@@ -2550,34 +2550,34 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/jrosebr1/imutils
```
-- [PyPi](https://pypi.org/project/imutils) (π₯ 120K / month Β· π¦ 1.2K Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/imutils) (π₯ 100K / month Β· π¦ 1.2K Β· β±οΈ 15.01.2021):
```
pip install imutils
```
-- [Conda](https://anaconda.org/conda-forge/imutils) (π₯ 35K Β· β±οΈ 15.01.2021):
+- [Conda](https://anaconda.org/conda-forge/imutils) (π₯ 36K Β· β±οΈ 15.01.2021):
```
conda install -c conda-forge imutils
```
ImageHash (π₯28 Β· β 1.8K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 17 Β· π 250 Β· π¦ 1.9K Β· π 87 - 19% open Β· β±οΈ 03.01.2021):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 17 Β· π 250 Β· π¦ 2K Β· π 87 - 19% open Β· β±οΈ 03.01.2021):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 250K / month Β· π¦ 530 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 210K / month Β· π¦ 530 Β· β±οΈ 19.11.2020):
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 99K Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 100K Β· β±οΈ 19.11.2020):
```
conda install -c conda-forge imagehash
```
PyTorch Image Models (π₯27 Β· β 6.8K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+PyTorch Image Models (π₯27 Β· β 6.9K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- [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):
+- [GitHub](https://github.com/rwightman/pytorch-image-models) (π¨βπ» 26 Β· π 980 Β· π₯ 220K Β· π¦ 280 Β· π 240 - 9% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/rwightman/pytorch-image-models
@@ -2585,36 +2585,36 @@ _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¦ 670 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¦ 680 Β· π 600 - 31% open Β· β±οΈ 05.01.2021):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 4.7K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 4.3K / month Β· π¦ 24 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):
+- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 110 Β· π 1K Β· π¦ 420 Β· π 740 - 49% open Β· β±οΈ 01.02.2021):
```
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):
+- [PyPi](https://pypi.org/project/gluoncv) (π₯ 27K / month Β· π¦ 30 Β· β±οΈ 04.02.2021):
```
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 27.01.2021):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 140 Β· π 3.8K Β· π¦ 160 Β· π 2.2K - 4% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/facebookresearch/detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 12K Β· β±οΈ 05.08.2020):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 13K Β· β±οΈ 05.08.2020):
```
conda install -c conda-forge detectron2
```
@@ -2631,86 +2631,50 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install insightface
```
MMDetection (π₯25 Β· β 13K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+MMDetection (π₯25 Β· β 14K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [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):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 180 Β· π 4.7K Β· π¦ 25 Β· π 3.4K - 10% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/open-mmlab/mmdetection
```
Augmentor (π₯25 Β· β 4.3K Β· π€) - Image augmentation library in Python for machine learning. MIT
-
-- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 22 Β· π 780 Β· π¦ 280 Β· π 180 - 63% open Β· β±οΈ 09.03.2020):
-
- ```
- git clone https://github.com/mdbloice/Augmentor
- ```
-- [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 4.3K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT
-- [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):
+- [GitHub](https://github.com/facebookresearch/pytorch3d) (π¨βπ» 53 Β· π 480 Β· π¦ 47 Β· π 470 - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/facebookresearch/pytorch3d
```
-- [PyPi](https://pypi.org/project/pytorch3d) (π₯ 3.7K / month Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/pytorch3d) (π₯ 3.2K / month Β· β±οΈ 12.11.2020):
```
pip install pytorch3d
```
-- [Conda](https://anaconda.org/pytorch3d/pytorch3d) (π₯ 6K Β· β±οΈ 12.11.2020):
+- [Conda](https://anaconda.org/pytorch3d/pytorch3d) (π₯ 6.2K 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₯ 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₯ 3.1K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
- ```
- pip install facenet-pytorch
- ```
-chainercv (π₯25 Β· β 1.4K Β· π€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
-
-- [GitHub](https://github.com/chainer/chainercv) (π¨βπ» 39 Β· π 320 Β· π¦ 220 Β· π 220 - 24% open Β· β±οΈ 07.01.2020):
-
- ```
- git clone https://github.com/chainer/chainercv
- ```
-- [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¦ 840 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¦ 850 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₯ 10K / month Β· π¦ 42 Β· β±οΈ 14.11.2019):
+- [PyPi](https://pypi.org/project/mtcnn) (π₯ 8.5K / month Β· π¦ 42 Β· β±οΈ 14.11.2019):
```
pip install mtcnn
```
mahotas (π₯25 Β· β 660) - Computer Vision in Python. MIT
+mahotas (π₯25 Β· β 670) - Computer Vision in Python. MIT
- [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₯ 8.7K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 9.6K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
```
pip install mahotas
```
@@ -2719,154 +2683,142 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mahotas
```
Face Alignment (π₯23 Β· β 4.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+Augmentor (π₯24 Β· β 4.3K Β· π€) - Image augmentation library in Python for machine learning. MIT
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 21 Β· π 1K Β· π 220 - 13% open Β· β±οΈ 30.12.2020):
+- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 22 Β· π 780 Β· π¦ 280 Β· π 180 - 63% open Β· β±οΈ 09.03.2020):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/mdbloice/Augmentor
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 3.7K / month Β· π¦ 6 Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/Augmentor) (π₯ 3.5K / month Β· π¦ 42 Β· β±οΈ 17.01.2020):
```
- pip install face-alignment
+ pip install Augmentor
```
segmentation_models (π₯23 Β· β 2.9K Β· π€) - Segmentation models with pretrained backbones. Keras.. MIT
+facenet-pytorch (π₯24 Β· β 1.8K) - Pretrained Pytorch face detection (MTCNN) and recognition.. MIT
-- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 14 Β· π 670 Β· π 380 - 37% open Β· β±οΈ 17.04.2020):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 11 Β· π 380 Β· π₯ 58K Β· π¦ 270 Β· π 110 - 25% open Β· β±οΈ 19.11.2020):
```
- git clone https://github.com/qubvel/segmentation_models
+ git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 11K / month Β· π¦ 12 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 2.8K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
```
- pip install segmentation_models
+ pip install facenet-pytorch
```
vidgear (π₯23 Β· β 1.6K) - High-performance cross-platform Video Processing Python framework.. Apache-2
+Face Alignment (π₯23 Β· β 4.7K) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- [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):
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 21 Β· π 1K Β· π 220 - 13% open Β· β±οΈ 30.12.2020):
```
- git clone https://github.com/abhiTronix/vidgear
+ git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 01.01.2021):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 3.2K / month Β· π¦ 6 Β· β±οΈ 22.12.2020):
```
- pip install vidgear
+ pip install face-alignment
```
Image Deduplicator (π₯22 Β· β 3.4K) - Finding duplicate images made easy!. Apache-2
+segmentation_models (π₯23 Β· β 2.9K Β· π€) - Segmentation models with pretrained backbones. Keras.. MIT
-- [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):
+- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 14 Β· π 670 Β· π 380 - 38% open Β· β±οΈ 17.04.2020):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 22.11.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 10.01.2020):
```
- pip install imagededup
+ pip install segmentation_models
```
Image Super-Resolution (π₯22 Β· β 2.5K) - Super-scale your images and run experiments with.. Apache-2
+vidgear (π₯22 Β· β 1.6K) - High-performance cross-platform Video Processing Python framework.. 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):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 5 Β· π 110 Β· π₯ 310 Β· π¦ 80 Β· π 140 - 3% open Β· β±οΈ 01.01.2021):
```
- 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
+ git clone https://github.com/abhiTronix/vidgear
```
-- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (π₯ 120 Β· β±οΈ 01.04.2019):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 01.01.2021):
```
- docker pull idealo/image-super-resolution-gpu
+ pip install vidgear
```
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₯ 590 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₯ 610 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₯ 98 / month Β· β±οΈ 04.09.2017):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 93 / month Β· β±οΈ 04.09.2017):
```
pip install cellprofiler
```
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» 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₯ 530K / month Β· β±οΈ 23.01.2021):
- ```
- pip install caer
- ```
-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):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 10 Β· π 25 Β· π¦ 140 Β· π 210 - 34% open Β· β±οΈ 27.12.2020):
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 3K / month Β· π¦ 22 Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 2.9K / month Β· π¦ 22 Β· β±οΈ 18.12.2020):
```
pip install pyvips
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 6.1K Β· β±οΈ 14.10.2020):
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 6.3K Β· β±οΈ 14.10.2020):
```
conda install -c conda-forge pyvips
```
tensorflow-graphics (π₯21 Β· β 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+Image Deduplicator (π₯21 Β· β 3.4K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 32 Β· π 280 Β· π 180 - 55% open Β· β±οΈ 28.01.2021):
+- [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/tensorflow/graphics
+ git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 850 / month Β· π¦ 3 Β· β±οΈ 20.05.2020):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 22.11.2020):
```
- pip install tensorflow-graphics
+ pip install imagededup
```
Luminoth (π₯21 Β· β 2.3K Β· π€) - Deep Learning toolkit for Computer Vision. BSD-3
+Image Super-Resolution (π₯21 Β· β 2.5K) - Super-scale your images and run experiments with.. Apache-2
-- [GitHub](https://github.com/tryolabs/luminoth) (π¨βπ» 15 Β· π 400 Β· π₯ 11K Β· π¦ 27 Β· π 180 - 28% open Β· β±οΈ 07.01.2020):
+- [GitHub](https://github.com/idealo/image-super-resolution) (π¨βπ» 9 Β· π 480 Β· π¦ 40 Β· π 150 - 34% open Β· β±οΈ 11.11.2020):
```
- git clone https://github.com/tryolabs/luminoth
+ git clone https://github.com/idealo/image-super-resolution
+ ```
+- [PyPi](https://pypi.org/project/ISR) (π₯ 1.7K / month Β· π¦ 4 Β· β±οΈ 08.01.2020):
+ ```
+ pip install ISR
```
-- [PyPi](https://pypi.org/project/luminoth) (π₯ 450 / month Β· β±οΈ 09.11.2018):
+- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (π₯ 120 Β· β±οΈ 01.04.2019):
```
- pip install luminoth
+ docker pull idealo/image-super-resolution-gpu
```
nude.py (π₯21 Β· β 790) - Nudity detection with Python. MIT
+tensorflow-graphics (π₯21 Β· β 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [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):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 33 Β· π 280 Β· π 180 - 53% open Β· β±οΈ 02.02.2021):
```
- git clone https://github.com/hhatto/nude.py
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/nudepy) (π₯ 1.4K / month Β· π¦ 9 Β· β±οΈ 23.11.2020):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 630 / month Β· π¦ 3 Β· β±οΈ 20.05.2020):
```
- pip install nudepy
+ pip install tensorflow-graphics
```
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» 52 Β· π 590 Β· π¦ 6 Β· π 420 - 22% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 52 Β· π 590 Β· π¦ 6 Β· π 420 - 21% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 78 / month Β· β±οΈ 11.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 65 / month Β· β±οΈ 11.06.2020):
```
pip install mmf
```
@@ -2878,23 +2830,23 @@ _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₯ 310 / month Β· π¦ 3 Β· β±οΈ 13.02.2017):
+- [PyPi](https://pypi.org/project/image_match) (π₯ 320 / 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» 55 Β· π 190 Β· π 92 - 50% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 57 Β· π 200 Β· π 95 - 51% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/facebookresearch/ClassyVision
```
-- [PyPi](https://pypi.org/project/classy_vision) (π₯ 110 / month Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/classy_vision) (π₯ 96 / month Β· β±οΈ 20.11.2020):
```
pip install classy_vision
```
-- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 5.6K Β· β±οΈ 11.12.2020):
+- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 5.7K Β· β±οΈ 11.12.2020):
```
conda install -c conda-forge classy_vision
```
@@ -2906,58 +2858,82 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/nicolas-chaulet/torch-points3d
```
-- [PyPi](https://pypi.org/project/torch-points3d) (π₯ 200 / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/torch-points3d) (π₯ 160 / month Β· β±οΈ 18.12.2020):
```
pip install torch-points3d
```
vit-pytorch (π₯18 Β· β 2.4K Β· π£) - Implementation of Vision Transformer, a simple way to.. MIT
+nude.py (π₯20 Β· β 790) - Nudity detection with Python. MIT
+
+- [GitHub](https://github.com/hhatto/nude.py) (π¨βπ» 12 Β· π 130 Β· π¦ 62 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₯ 1.9K / month Β· π¦ 9 Β· β±οΈ 23.11.2020):
+ ```
+ pip install nudepy
+ ```
+Caer (π₯19 Β· β 420 Β· π£) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
+
+- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 1 Β· π 62):
+
+ ```
+ git clone https://github.com/jasmcaus/caer
+ ```
+- [PyPi](https://pypi.org/project/caer) (π₯ 860K / month Β· β±οΈ 28.01.2021):
+ ```
+ pip install caer
+ ```
+vit-pytorch (π₯18 Β· β 2.5K Β· π£) - Implementation of Vision Transformer, a simple way to.. MIT
-- [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):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 4 Β· π 230 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₯ 820 / month Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 690 / month Β· β±οΈ 11.01.2021):
```
pip install vit-pytorch
```
Norfair (π₯18 Β· β 860 Β· π£) - Lightweight Python library for adding real-time 2D object tracking.. BSD-3
+Norfair (π₯18 Β· β 880) - Lightweight Python library for adding real-time 2D object tracking to.. BSD-3
- [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₯ 210 / month Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 220 / 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
+PaddleDetection (π₯17 Β· β 2.3K) - Object detection and instance segmentation toolkit.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 43 Β· π 620 Β· π 1.2K - 27% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 44 Β· π 640 Β· π 1.2K - 28% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
lightly (π₯16 Β· β 400 Β· π£) - A python library for self-supervised learning on images. MIT
+lightly (π₯15 Β· β 410 Β· π£) - A python library for self-supervised learning on images. MIT
-- [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):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 5 Β· π 20 Β· π¦ 2 Β· π 50 - 46% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 150 / month Β· β±οΈ 11.01.2021):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 140 / 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
+DEβ«ΆTR (π₯14 Β· β 6.1K) - End-to-End Object Detection with Transformers. Apache-2
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 19 Β· π 880 Β· π 270 - 22% open Β· β±οΈ 15.11.2020):
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 19 Β· π 910 Β· π 280 - 21% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/facebookresearch/detr
@@ -2965,7 +2941,7 @@ _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 25.01.2021):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 19 Β· π 630 Β· π¦ 2 Β· π 350 - 46% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/facebookresearch/SlowFast
@@ -2973,16 +2949,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pycls (π₯14 Β· β 1.4K) - Codebase for Image Classification Research, written in PyTorch. MIT
-- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 9 Β· π 150 Β· π¦ 2 Β· π 54 - 18% open Β· β±οΈ 14.01.2021):
+- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 9 Β· π 150 Β· π¦ 2 Β· π 55 - 20% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/facebookresearch/pycls
```
Show 2 hidden projects...
+Show 4 hidden projects...
- glfw (π₯29 Β· β 7.2K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- Pillow-SIMD (π₯23 Β· β 1.5K Β· π€) - The friendly PIL fork. βοΈPIL
+- chainercv (π₯25 Β· β 1.4K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- Pillow-SIMD (π₯22 Β· β 1.5K Β· π€) - The friendly PIL fork. βοΈPIL
+- Luminoth (π₯21 Β· β 2.3K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3
@@ -2992,25 +2970,25 @@ _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 8.6K) - Network Analysis in Python. BSD-3
+networkx (π₯36 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¦ 66K Β· π 2.6K - 10% open Β· β±οΈ 27.01.2021):
+- [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 03.02.2021):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 4.4M / month Β· π¦ 21K Β· β±οΈ 22.08.2020):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 4M / month Β· π¦ 21K Β· β±οΈ 22.08.2020):
```
pip install networkx
```
-- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 2.9M Β· β±οΈ 23.08.2020):
+- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 3M Β· β±οΈ 23.08.2020):
```
conda install -c conda-forge networkx
```
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 - 38% 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 01.02.2021):
```
git clone https://github.com/rusty1s/pytorch_geometric
@@ -3022,24 +3000,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
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 920 - 24% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 110 Β· π 1.3K Β· π 920 - 24% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 10K / month Β· π¦ 30 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 10K / month Β· π¦ 30 Β· β±οΈ 04.02.2021):
```
pip install dgl
```
StellarGraph (π₯25 Β· β 1.7K) - StellarGraph - Machine Learning on Graphs. Apache-2
+StellarGraph (π₯25 Β· β 1.8K) - 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 25.01.2021):
+- [GitHub](https://github.com/stellargraph/stellargraph) (π¨βπ» 30 Β· π 250 Β· π¦ 45 Β· π 910 - 23% open Β· β±οΈ 31.01.2021):
```
git clone https://github.com/stellargraph/stellargraph
```
-- [PyPi](https://pypi.org/project/stellargraph) (π₯ 4.2K / month Β· π¦ 2 Β· β±οΈ 25.06.2020):
+- [PyPi](https://pypi.org/project/stellargraph) (π₯ 3.8K / month Β· π¦ 2 Β· β±οΈ 25.06.2020):
```
pip install stellargraph
```
@@ -3051,107 +3029,95 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 1.6K / month Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 1.5K / month Β· β±οΈ 07.01.2021):
```
pip install spektral
```
ogb (π₯22 Β· β 720) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
+ogb (π₯22 Β· β 730) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 12 Β· π 110 Β· π¦ 44 Β· β±οΈ 23.01.2021):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 12 Β· π 110 Β· π¦ 47 Β· β±οΈ 23.01.2021):
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 1.7K / month Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 1.6K / month Β· β±οΈ 29.12.2020):
```
pip install ogb
```
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):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 7 Β· π 170 Β· π¦ 110 Β· β±οΈ 09.01.2021):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 3.7K / month Β· π¦ 10 Β· β±οΈ 09.01.2021):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 3.5K / month Β· π¦ 10 Β· β±οΈ 09.01.2021):
```
pip install node2vec
```
-- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 15K Β· β±οΈ 25.04.2020):
+- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 16K Β· β±οΈ 25.04.2020):
```
conda install -c conda-forge node2vec
```
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):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 17 Β· π 68 Β· π 73 - 47% open Β· β±οΈ 03.01.2021):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 2.2K / month Β· π¦ 32 Β· β±οΈ 31.10.2020):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 2K / month Β· π¦ 32 Β· β±οΈ 31.10.2020):
```
pip install torch-cluster
```
AmpliGraph (π₯20 Β· β 1.4K) - Python library for Representation Learning on Knowledge.. Apache-2
-
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 14 Β· π 150 Β· π¦ 9 Β· π 170 - 10% open Β· β±οΈ 25.08.2020):
-
- ```
- git clone https://github.com/Accenture/AmpliGraph
- ```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 540 / month Β· β±οΈ 25.08.2020):
- ```
- pip install ampligraph
- ```
-graph-nets (π₯19 Β· β 4.8K) - Build Graph Nets in Tensorflow. Apache-2
+graph-nets (π₯19 Β· β 4.8K) - Build Graph Nets in Tensorflow. Apache-2
-- [GitHub](https://github.com/deepmind/graph_nets) (π¨βπ» 10 Β· π 720 Β· π 110 - 8% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/deepmind/graph_nets) (π¨βπ» 10 Β· π 720 Β· π 110 - 9% open Β· β±οΈ 04.12.2020):
```
git clone https://github.com/deepmind/graph_nets
```
-- [PyPi](https://pypi.org/project/graph-nets) (π₯ 600 / month Β· π¦ 7 Β· β±οΈ 29.01.2020):
+- [PyPi](https://pypi.org/project/graph-nets) (π₯ 540 / 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
+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₯ 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₯ 260 / month Β· π¦ 4 Β· β±οΈ 01.05.2019):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 340 / month Β· π¦ 4 Β· β±οΈ 01.05.2019):
```
pip install torchbiggraph
```
Paddle Graph Learning (π₯19 Β· β 880) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+AmpliGraph (π₯19 Β· β 1.4K) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 17 Β· π 120 Β· π¦ 9 Β· π 43 - 34% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 14 Β· π 150 Β· π¦ 9 Β· π 180 - 10% open Β· β±οΈ 25.08.2020):
```
- git clone https://github.com/PaddlePaddle/PGL
+ git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 310 / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 510 / month Β· β±οΈ 25.08.2020):
```
- pip install pgl
+ pip install ampligraph
```
PyKEEN (π₯19 Β· β 290) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (π₯18 Β· β 300) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [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):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 17 Β· π 50 Β· π₯ 75 Β· π 120 - 42% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 160 / month Β· π¦ 1 Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 20.01.2021):
```
pip install pykeen
```
@@ -3163,74 +3129,86 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/deepgraph/deepgraph
```
-- [PyPi](https://pypi.org/project/deepgraph) (π₯ 190 / month Β· β±οΈ 01.10.2020):
+- [PyPi](https://pypi.org/project/deepgraph) (π₯ 150 / month Β· β±οΈ 01.10.2020):
```
pip install deepgraph
```
-- [Conda](https://anaconda.org/conda-forge/deepgraph) (π₯ 77K Β· β±οΈ 15.01.2021):
+- [Conda](https://anaconda.org/conda-forge/deepgraph) (π₯ 78K Β· β±οΈ 15.01.2021):
```
conda install -c conda-forge deepgraph
```
kglib (π₯17 Β· β 390) - Grakn Knowledge Graph Library (ML R&D). Apache-2
+Paddle Graph Learning (π₯17 Β· β 890 Β· π) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+
+- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 19 Β· π 120 Β· π¦ 9 Β· π 43 - 34% open Β· β±οΈ 02.02.2021):
+
+ ```
+ git clone https://github.com/PaddlePaddle/PGL
+ ```
+- [PyPi](https://pypi.org/project/pgl) (π₯ 140 / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
+ ```
+ pip install pgl
+ ```
+kglib (π₯16 Β· β 390) - Grakn Knowledge Graph Library (ML R&D). Apache-2
- [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₯ 50 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 44 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
pytorch_geometric_temporal (π₯16 Β· β 330) - A Temporal Extension Library for PyTorch Geometric. MIT
+pytorch_geometric_temporal (π₯16 Β· β 340) - A Temporal Extension Library for PyTorch Geometric. MIT
-- [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):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 3 Β· π 38 Β· π 17 - 5% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 110 / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 95 / month Β· β±οΈ 14.01.2021):
```
pip install torch-geometric-temporal
```
Euler (π₯14 Β· β 2.5K) - A distributed graph deep learning framework. Apache-2
+GraphEmbedding (π₯15 Β· β 1.8K) - Implementation and experiments of graph embedding algorithms. MIT
-- [GitHub](https://github.com/alibaba/euler) (π¨βπ» 5 Β· π 500 Β· π 300 - 67% open Β· β±οΈ 29.07.2020):
+- [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/alibaba/euler
- ```
-- [PyPi](https://pypi.org/project/euler-gl) (π₯ 4 / month Β· β±οΈ 10.04.2019):
- ```
- pip install euler-gl
+ git clone https://github.com/shenweichen/GraphEmbedding
```
GraphEmbedding (π₯14 Β· β 1.8K) - Implementation and experiments of graph embedding algorithms. MIT
+Euler (π₯14 Β· β 2.5K Β· π€) - A distributed graph deep learning framework. Apache-2
-- [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):
+- [GitHub](https://github.com/alibaba/euler) (π¨βπ» 5 Β· π 500 Β· π 300 - 67% open Β· β±οΈ 29.07.2020):
```
- git clone https://github.com/shenweichen/GraphEmbedding
+ git clone https://github.com/alibaba/euler
+ ```
+- [PyPi](https://pypi.org/project/euler-gl) (π₯ 6 / month Β· β±οΈ 10.04.2019):
+ ```
+ pip install euler-gl
```
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 53 Β· π 6 - 66% open Β· β±οΈ 29.12.2020):
+- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 4 Β· π 55 Β· π 7 - 71% open Β· β±οΈ 29.12.2020):
```
git clone https://github.com/THUMNLab/AutoGL
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 75 / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 42 / month Β· β±οΈ 23.12.2020):
```
pip install auto-graph-learning
```
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):
+- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 10 Β· π 740 Β· π 280 - 18% open Β· β±οΈ 08.04.2020):
```
git clone https://github.com/thunlp/OpenKE
@@ -3250,12 +3228,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 8 hidden projects...
-- igraph (π₯27 Β· β 760) - Python interface for igraph. βοΈGPL-2.0
+- igraph (π₯27 Β· β 770) - 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₯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 80) - Python Implementation and Extension of RDF2Vec. MIT
+- DeepWalk (π₯19 Β· β 2.2K Β· π€) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
+- Sematch (π₯16 Β· β 340 Β· π) - semantic similarity framework for knowledge graph. Apache-2
+- pyRDF2Vec (π₯15 Β· β 81) - 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 Magenta (π₯29 Β· β 16K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+DeepSpeech (π₯31 Β· β 16K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0
-- [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):
+- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 160 Β· π 3.1K Β· π₯ 420K Β· π¦ 390 Β· π 1.9K - 5% open Β· β±οΈ 01.02.2021):
```
- git clone https://github.com/magenta/magenta
+ git clone https://github.com/mozilla/DeepSpeech
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 3.8K / month Β· π¦ 35 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 6.6K / month Β· π¦ 29 Β· β±οΈ 19.12.2020):
```
- pip install magenta
+ pip install deepspeech
```
Pydub (π₯29 Β· β 5.1K) - Manipulate audio with a simple and easy high level interface. MIT
+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¦ 270 Β· π 830 - 35% open Β· β±οΈ 01.02.2021):
+
+ ```
+ git clone https://github.com/magenta/magenta
+ ```
+- [PyPi](https://pypi.org/project/magenta) (π₯ 2.9K / month Β· π¦ 35 Β· β±οΈ 12.11.2020):
+ ```
+ pip install magenta
+ ```
+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¦ 5.8K 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¦ 5.9K Β· π 410 - 43% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/jiaaro/pydub
```
-- [PyPi](https://pypi.org/project/pydub) (π₯ 110K / month Β· π¦ 1.4K Β· β±οΈ 03.06.2020):
+- [PyPi](https://pypi.org/project/pydub) (π₯ 100K / month Β· π¦ 1.4K Β· β±οΈ 03.06.2020):
```
pip install pydub
```
-- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 12K Β· β±οΈ 02.02.2019):
+- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 13K Β· β±οΈ 02.02.2019):
```
conda install -c conda-forge pydub
```
torchaudio (π₯29 Β· β 1.2K) - Data manipulation and transformation for audio signal.. BSD-2
+torchaudio (π₯28 Β· β 1.2K) - Data manipulation and transformation for audio signal.. BSD-2
-- [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):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 89 Β· π 270 Β· π¦ 1.4K Β· π 410 - 36% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 62K / month Β· π¦ 9 Β· β±οΈ 27.10.2020):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 53K / month Β· π¦ 9 Β· β±οΈ 27.10.2020):
```
pip install torchaudio
```
audioread (π₯27 Β· β 360) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
-- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 20 Β· π 83 Β· π¦ 4K Β· π 75 - 41% open Β· β±οΈ 20.10.2020):
+- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 20 Β· π 83 Β· π¦ 4.1K Β· π 75 - 41% open Β· β±οΈ 20.10.2020):
```
git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 230K / month Β· π¦ 590 Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 190K / month Β· π¦ 590 Β· β±οΈ 20.10.2020):
```
pip install audioread
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 190K Β· β±οΈ 08.12.2020):
+- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 200K Β· β±οΈ 08.12.2020):
```
conda install -c conda-forge audioread
```
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¦ 9.1K 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¦ 9.2K Β· π 840 - 6% open Β· β±οΈ 11.09.2020):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 240K / month Β· π¦ 1.8K Β· β±οΈ 22.07.2020):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 200K / month Β· π¦ 1.8K Β· β±οΈ 22.07.2020):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 240K Β· β±οΈ 22.07.2020):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 250K Β· β±οΈ 22.07.2020):
```
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₯ 910K Β· π 500 - 19% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 17 Β· π 1.6K Β· π₯ 920K Β· π 510 - 19% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 5K / month Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 4.2K / month Β· β±οΈ 08.01.2021):
```
pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 41K Β· β±οΈ 30.06.2020):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 42K Β· β±οΈ 30.06.2020):
```
conda install -c conda-forge spleeter
```
pyAudioAnalysis (π₯25 Β· β 3.7K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 23 Β· π 960 Β· π¦ 180 Β· π 270 - 61% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 23 Β· π 960 Β· π¦ 180 Β· π 270 - 60% open Β· β±οΈ 04.01.2021):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 5.3K / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 5.1K / 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 43 Β· π₯ 2K Β· π¦ 5.4K 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₯ 2.1K Β· π¦ 5.5K 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₯ 300K / month Β· π¦ 740 Β· β±οΈ 19.04.2018):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 250K / month Β· π¦ 740 Β· β±οΈ 19.04.2018):
```
pip install soundfile
```
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 1.1K Β· π₯ 59 Β· π¦ 4 Β· π 1.2K - 11% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 140 Β· π 1.1K Β· π₯ 59 Β· π¦ 5 Β· π 1.2K - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 870 / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 620 / month Β· β±οΈ 15.01.2021):
```
pip install espnet
```
@@ -3410,55 +3388,55 @@ _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₯ 41K / month Β· π¦ 300 Β· β±οΈ 16.08.2017):
+- [PyPi](https://pypi.org/project/python_speech_features) (π₯ 33K / month Β· π¦ 300 Β· β±οΈ 16.08.2017):
```
pip install python_speech_features
```
tinytag (π₯23 Β· β 430) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT
+DDSP (π₯22 Β· β 1.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 18 Β· π 78 Β· π¦ 300 Β· π 74 - 18% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 24 Β· π 160 Β· π¦ 5 Β· π 100 - 12% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/devsnd/tinytag
+ git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 2.1K / month Β· π¦ 96 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 730 / month Β· β±οΈ 14.01.2021):
```
- pip install tinytag
+ pip install ddsp
```
DDSP (π₯22 Β· β 1.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+kapre (π₯22 Β· β 710) - kapre: Keras Audio Preprocessors. MIT
-- [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):
+- [GitHub](https://github.com/keunwoochoi/kapre) (π¨βπ» 13 Β· π 130 Β· π₯ 8 Β· π¦ 480 Β· π 85 - 5% open Β· β±οΈ 16.11.2020):
```
- git clone https://github.com/magenta/ddsp
+ git clone https://github.com/keunwoochoi/kapre
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 900 / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/kapre) (π₯ 800 / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
```
- pip install ddsp
+ pip install kapre
```
kapre (π₯22 Β· β 700) - kapre: Keras Audio Preprocessors. MIT
+tinytag (π₯22 Β· β 430) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT
-- [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):
+- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 18 Β· π 78 Β· π¦ 300 Β· π 74 - 18% open Β· β±οΈ 11.11.2020):
```
- git clone https://github.com/keunwoochoi/kapre
+ git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/kapre) (π₯ 870 / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 1.8K / month Β· π¦ 96 Β· β±οΈ 05.11.2020):
```
- pip install kapre
+ pip install tinytag
```
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 27.01.2021):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 25 Β· π 330 Β· π¦ 4 Β· π 280 - 2% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 640 / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 440 / month Β· β±οΈ 02.10.2020):
```
pip install pvporcupine
```
@@ -3470,27 +3448,27 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/worldveil/dejavu
```
-- [PyPi](https://pypi.org/project/PyDejavu) (π₯ 68 / month Β· π¦ 1 Β· β±οΈ 19.04.2015):
+- [PyPi](https://pypi.org/project/PyDejavu) (π₯ 57 / 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
+TTS (π₯20 Β· β 3.2K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- [GitHub](https://github.com/mozilla/TTS) (π¨βπ» 50 Β· π 660 Β· π 440 - 5% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/mozilla/TTS) (π¨βπ» 50 Β· π 670 Β· π₯ 39 Β· π 450 - 6% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/mozilla/TTS
```
Muda (π₯16 Β· β 170) - A library for augmenting annotated audio data. ISC
+Muda (π₯16 Β· β 180 Β· π€) - A library for augmenting annotated audio data. ISC
-- [GitHub](https://github.com/bmcfee/muda) (π¨βπ» 6 Β· π 30 Β· π¦ 8 Β· π 49 - 10% open Β· β±οΈ 20.07.2020):
+- [GitHub](https://github.com/bmcfee/muda) (π¨βπ» 6 Β· π 31 Β· π¦ 8 Β· π 49 - 10% open Β· β±οΈ 20.07.2020):
```
git clone https://github.com/bmcfee/muda
```
-- [PyPi](https://pypi.org/project/muda) (π₯ 56 / month Β· π¦ 1 Β· β±οΈ 15.11.2019):
+- [PyPi](https://pypi.org/project/muda) (π₯ 65 / month Β· π¦ 1 Β· β±οΈ 15.11.2019):
```
pip install muda
```
@@ -3502,7 +3480,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (π₯ 330 / month Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/julius) (π₯ 550 / month Β· β±οΈ 26.01.2021):
```
pip install julius
```
@@ -3524,12 +3502,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
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 - 4% open Β· β±οΈ 28.01.2021):
+- [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 04.02.2021):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 92K / month Β· π¦ 2 Β· β±οΈ 26.10.2020):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 82K / month Β· π¦ 2 Β· β±οΈ 26.10.2020):
```
pip install pydeck
```
@@ -3537,78 +3515,78 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge pydeck
```
-- [NPM](https://www.npmjs.com/package/deck.gl) (π₯ 160K / month Β· π¦ 560 Β· β±οΈ 22.01.2021):
+- [NPM](https://www.npmjs.com/package/deck.gl) (π₯ 180K / month Β· π¦ 560 Β· β±οΈ 04.02.2021):
```
npm install deck.gl
```
geopy (π₯33 Β· β 3.2K) - Geocoding library for Python. MIT
+folium (π₯32 Β· β 5.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 120 Β· π 540 Β· π¦ 16K Β· π 240 - 10% open Β· β±οΈ 27.12.2020):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 120 Β· π 1.9K Β· π¦ 8.3K Β· π 840 - 17% open Β· β±οΈ 18.01.2021):
```
- git clone https://github.com/geopy/geopy
+ git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 3.3M / month Β· π¦ 7.2K Β· β±οΈ 27.12.2020):
+- [PyPi](https://pypi.org/project/folium) (π₯ 160K / month Β· π¦ 970 Β· β±οΈ 18.01.2021):
```
- pip install geopy
+ pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 500K Β· β±οΈ 27.12.2020):
+- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 320K Β· β±οΈ 06.01.2021):
```
- conda install -c conda-forge geopy
+ conda install -c conda-forge folium
```
Shapely (π₯33 Β· β 2.1K) - Manipulation and analysis of geometric objects. BSD-3
+geopy (π₯32 Β· β 3.2K) - Geocoding library for Python. MIT
-- [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):
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 120 Β· π 540 Β· π¦ 16K Β· π 240 - 10% open Β· β±οΈ 27.12.2020):
```
- git clone https://github.com/Toblerity/Shapely
+ git clone https://github.com/geopy/geopy
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 1.7M / month Β· π¦ 5.5K Β· β±οΈ 20.08.2020):
+- [PyPi](https://pypi.org/project/geopy) (π₯ 2.7M / month Β· π¦ 7.2K Β· β±οΈ 27.12.2020):
```
- pip install shapely
+ pip install geopy
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 2M Β· β±οΈ 24.01.2021):
+- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 510K Β· β±οΈ 27.12.2020):
```
- conda install -c conda-forge shapely
+ conda install -c conda-forge geopy
```
folium (π₯32 Β· β 5.1K) - Python Data. Leaflet.js Maps. MIT
+Shapely (π₯32 Β· β 2.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [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):
+- [GitHub](https://github.com/Toblerity/Shapely) (π¨βπ» 100 Β· π 380 Β· π¦ 16K Β· π 710 - 19% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/python-visualization/folium
+ git clone https://github.com/Toblerity/Shapely
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 190K / month Β· π¦ 970 Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 1.5M / month Β· π¦ 5.5K Β· β±οΈ 20.08.2020):
```
- pip install folium
+ pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 320K Β· β±οΈ 06.01.2021):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 2M Β· β±οΈ 24.01.2021):
```
- conda install -c conda-forge folium
+ conda install -c conda-forge shapely
```
GeoPandas (π₯31 Β· β 2.4K Β· π) - Python tools for geographic data. BSD-3
+GeoPandas (π₯31 Β· β 2.5K) - Python tools for geographic data. BSD-3
-- [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):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 130 Β· π 530 Β· π₯ 880 Β· π¦ 7.1K Β· π 970 - 30% open Β· β±οΈ 30.01.2021):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 360K / month Β· π¦ 1.2K Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 340K / month Β· π¦ 1.2K Β· β±οΈ 25.01.2021):
```
pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 830K Β· β±οΈ 25.01.2021):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 840K 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¦ 2.7K Β· π 1.3K - 10% open Β· β±οΈ 25.01.2021):
+- [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 02.02.2021):
```
git clone https://github.com/mapbox/rasterio
@@ -3617,19 +3595,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 850K Β· β±οΈ 25.01.2021):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 860K Β· β±οΈ 25.01.2021):
```
conda install -c conda-forge rasterio
```
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):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 65 Β· π 160 Β· π¦ 5K 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₯ 410K / month Β· π¦ 1.2K Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 380K / month Β· π¦ 1.2K Β· β±οΈ 17.11.2020):
```
pip install fiona
```
@@ -3638,14 +3616,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge fiona
```
pyproj (π₯29 Β· β 560) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+pyproj (π₯29 Β· β 570) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [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):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 39 Β· π 150 Β· π¦ 8.4K 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₯ 970K / month Β· π¦ 2.5K Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 890K / month Β· π¦ 2.5K Β· β±οΈ 05.11.2020):
```
pip install pyproj
```
@@ -3661,43 +3639,43 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 12K / month Β· π¦ 98 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 11K / month Β· π¦ 98 Β· β±οΈ 05.01.2021):
```
pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 580K Β· β±οΈ 16.01.2021):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 590K Β· β±οΈ 16.01.2021):
```
conda install -c conda-forge ipyleaflet
```
-- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 140K / month Β· π¦ 2 Β· β±οΈ 05.01.2021):
+- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 150K / 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
+geojson (π₯26 Β· β 600) - Python bindings and utilities for GeoJSON. BSD-3
-- [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):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 44 Β· π 79 Β· π¦ 5.7K Β· π 70 - 28% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 330K / month Β· π¦ 1.6K Β· β±οΈ 09.08.2019):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 290K / month Β· π¦ 1.6K Β· β±οΈ 09.08.2019):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 360K Β· β±οΈ 11.08.2019):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 370K Β· β±οΈ 11.08.2019):
```
conda install -c conda-forge geojson
```
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» 61 Β· π 700 Β· π 310 - 36% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 61 Β· π 700 Β· π 310 - 35% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 17K / month Β· π¦ 20 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 12K / month Β· π¦ 20 Β· β±οΈ 27.01.2021):
```
pip install arcgis
```
@@ -3706,14 +3684,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
docker pull esridocker/arcgis-api-python-notebook
```
PySAL (π₯24 Β· β 810) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+PySAL (π₯25 Β· β 820) - 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 24.01.2021):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 71 Β· π 240 Β· π 640 - 9% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 8.3K / month Β· π¦ 18 Β· β±οΈ 30.07.2020):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 7K / month Β· π¦ 36 Β· β±οΈ 02.02.2021):
```
pip install pysal
```
@@ -3722,52 +3700,52 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pysal
```
GeoViews (π₯24 Β· β 330) - Simple, concise geographical visualization in Python. BSD-3
+GeoViews (π₯23 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¦ 200 Β· π 250 - 31% open Β· β±οΈ 21.09.2020):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 1.1K / month Β· π¦ 10 Β· β±οΈ 30.03.2020):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 1.2K / month Β· π¦ 10 Β· β±οΈ 30.03.2020):
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 55K Β· β±οΈ 23.09.2020):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 56K 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
+pymap3d (π₯21 Β· β 170) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-- [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):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 8 Β· π 55 Β· π 24 - 8% open Β· β±οΈ 23.12.2020):
```
- git clone https://github.com/earthlab/earthpy
+ git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/earthpy) (π₯ 1.3K / month Β· π¦ 6 Β· β±οΈ 18.06.2020):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 21.09.2020):
```
- pip install earthpy
+ pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 27K Β· β±οΈ 19.06.2020):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 6.2K Β· β±οΈ 24.09.2020):
```
- conda install -c conda-forge earthpy
+ conda install -c conda-forge pymap3d
```
pymap3d (π₯21 Β· β 170) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
+EarthPy (π₯20 Β· β 220 Β· π) - A package built to support working with spatial data using open.. BSD-3
-- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 8 Β· π 55 Β· π 24 - 8% open Β· β±οΈ 23.12.2020):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 38 Β· π 96 Β· π¦ 75 Β· π 230 - 11% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/geospace-code/pymap3d
+ git clone https://github.com/earthlab/earthpy
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 21.09.2020):
+- [PyPi](https://pypi.org/project/earthpy) (π₯ 1.1K / month Β· π¦ 6 Β· β±οΈ 18.06.2020):
```
- pip install pymap3d
+ pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 6K Β· β±οΈ 24.09.2020):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 27K Β· β±οΈ 19.06.2020):
```
- conda install -c conda-forge pymap3d
+ conda install -c conda-forge earthpy
```
Show 7 hidden projects...
@@ -3776,8 +3754,8 @@ _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
-- Mapbox GL (π₯20 Β· β 550 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT βοΈGPL-3.0
+- Mapbox GL (π₯20 Β· β 560 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT MIT
@@ -3795,59 +3773,59 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/quantopian/zipline
```
-- [PyPi](https://pypi.org/project/zipline) (π₯ 3.7K / month Β· π¦ 160 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/zipline) (π₯ 2.8K / month Β· π¦ 160 Β· β±οΈ 05.10.2020):
```
pip install zipline
```
yfinance (π₯29 Β· β 4K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2
+yfinance (π₯29 Β· β 4.1K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2
-- [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):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 28 Β· π 1K Β· π¦ 2.9K Β· π 500 - 65% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 89K / month Β· π¦ 26 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 79K / month Β· π¦ 26 Β· β±οΈ 05.10.2020):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 32K Β· β±οΈ 27.12.2019):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 33K Β· β±οΈ 27.12.2019):
```
conda install -c ranaroussi yfinance
```
Alpha Vantage (π₯27 Β· β 3K) - A python wrapper for Alpha Vantage API for financial data. MIT
+Alpha Vantage (π₯27 Β· β 3.1K) - A python wrapper for Alpha Vantage API for financial data. MIT
- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 36 Β· π 550 Β· π 220 - 7% open Β· β±οΈ 21.12.2020):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 16K / month Β· π¦ 200 Β· β±οΈ 26.08.2018):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 12K / month Β· π¦ 200 Β· β±οΈ 26.08.2018):
```
pip install alpha_vantage
```
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):
+- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 23 Β· π 470 Β· π¦ 420 Β· π 150 - 45% open Β· β±οΈ 29.11.2020):
```
git clone https://github.com/bukosabino/ta
```
-- [PyPi](https://pypi.org/project/ta) (π₯ 23K / month Β· π¦ 6 Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/ta) (π₯ 20K / month Β· π¦ 12 Β· β±οΈ 29.11.2020):
```
pip install ta
```
pyfolio (π₯25 Β· β 3.4K) - Portfolio and risk analytics in Python. Apache-2
+pyfolio (π₯25 Β· β 3.5K Β· π€) - 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 - 32% open Β· β±οΈ 15.07.2020):
+- [GitHub](https://github.com/quantopian/pyfolio) (π¨βπ» 55 Β· π 1.1K Β· π¦ 200 Β· π 390 - 32% open Β· β±οΈ 15.07.2020):
```
git clone https://github.com/quantopian/pyfolio
```
-- [PyPi](https://pypi.org/project/pyfolio) (π₯ 6.1K / month Β· π¦ 54 Β· β±οΈ 15.04.2019):
+- [PyPi](https://pypi.org/project/pyfolio) (π₯ 4.2K / month Β· π¦ 54 Β· β±οΈ 15.04.2019):
```
pip install pyfolio
```
@@ -3856,30 +3834,30 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge pyfolio
```
empyrical (π₯25 Β· β 700) - Common financial risk and performance metrics. Used by zipline and.. Apache-2
+empyrical (π₯25 Β· β 710) - 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¦ 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₯ 22K / month Β· π¦ 220 Β· β±οΈ 13.10.2020):
+- [PyPi](https://pypi.org/project/empyrical) (π₯ 19K / month Β· π¦ 220 Β· β±οΈ 13.10.2020):
```
pip install empyrical
```
-- [Conda](https://anaconda.org/conda-forge/empyrical) (π₯ 9.2K Β· β±οΈ 14.10.2020):
+- [Conda](https://anaconda.org/conda-forge/empyrical) (π₯ 9.4K Β· β±οΈ 14.10.2020):
```
conda install -c conda-forge empyrical
```
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 640 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 650 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₯ 1.8K / month Β· π¦ 14 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/alphalens) (π₯ 1.4K / month Β· π¦ 14 Β· β±οΈ 27.04.2020):
```
pip install alphalens
```
@@ -3890,40 +3868,40 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
IB-insync (π₯24 Β· β 1.2K) - Python sync/async framework for Interactive Brokers API. BSD-2
-- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 25 Β· π 380 Β· π 280 - 1% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 25 Β· π 380 Β· π 290 - 2% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 2.3K / month Β· π¦ 12 Β· β±οΈ 03.11.2020):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 1.9K / month Β· π¦ 12 Β· β±οΈ 03.11.2020):
```
pip install ib_insync
```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 7.2K Β· β±οΈ 07.11.2020):
+- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 7.3K Β· β±οΈ 07.11.2020):
```
conda install -c conda-forge ib-insync
```
ffn (π₯24 Β· β 760) - ffn - a financial function library for Python. MIT
+ffn (π₯24 Β· β 770) - ffn - a financial function library for Python. MIT
-- [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):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 23 Β· π 190 Β· π¦ 97 Β· π 82 - 23% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 8.1K / month Β· π¦ 16 Β· β±οΈ 28.05.2018):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 5.9K / month Β· π¦ 42 Β· β±οΈ 01.02.2021):
```
pip install ffn
```
stockstats (π₯24 Β· β 700) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+stockstats (π₯24 Β· β 710) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [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):
+- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 7 Β· π 200 Β· π¦ 170 Β· π 59 - 49% open Β· β±οΈ 17.10.2020):
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 23K / month Β· π¦ 24 Β· β±οΈ 17.10.2020):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 18K / month Β· π¦ 24 Β· β±οΈ 17.10.2020):
```
pip install stockstats
```
@@ -3935,74 +3913,74 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/enigmampc/catalyst
```
-- [PyPi](https://pypi.org/project/enigma-catalyst) (π₯ 330 / month Β· β±οΈ 11.11.2018):
+- [PyPi](https://pypi.org/project/enigma-catalyst) (π₯ 400 / month Β· β±οΈ 11.11.2018):
```
pip install enigma-catalyst
```
bt (π₯22 Β· β 940) - bt - flexible backtesting for Python. MIT
+bt (π₯22 Β· β 950) - 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 27.01.2021):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 20 Β· π 250 Β· π¦ 44 Β· π 220 - 23% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 2.3K / month Β· π¦ 20 Β· β±οΈ 28.05.2018):
+- [PyPi](https://pypi.org/project/bt) (π₯ 1K / 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
+TensorTrade (π₯21 Β· β 2.8K) - An open source reinforcement learning framework for training,.. Apache-2
-- [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):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 48 Β· π 630 Β· π¦ 10 Β· π 160 - 24% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 840 / month Β· π¦ 1 Β· β±οΈ 24.08.2020):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 560 / 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
+Qlib (π₯20 Β· β 4.2K Β· π£) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT
-- [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):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 28 Β· π 630 Β· π₯ 200 Β· π 130 - 55% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/cuemacro/finmarketpy
+ git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 76 / month Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 2K / month Β· β±οΈ 02.02.2021):
```
- pip install finmarketpy
+ pip install pyqlib
```
Qlib (π₯19 Β· β 3.8K Β· π£) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT
+finmarketpy (π₯20 Β· β 2.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [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):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 430 Β· π₯ 39 Β· π¦ 3 Β· π 24 - 87% open Β· β±οΈ 25.01.2021):
```
- git clone https://github.com/microsoft/qlib
+ git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.8K / month Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 76 / month Β· β±οΈ 25.01.2021):
```
- pip install pyqlib
+ pip install finmarketpy
```
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 300 Β· π¦ 4 Β· π 23 - 47% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 30 Β· π 310 Β· π¦ 4 Β· π 22 - 50% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 110 / month Β· β±οΈ 18.09.2020):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 100 / month Β· β±οΈ 01.02.2021):
```
pip install tf-quant-finance
```
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 650 Β· π 230 - 18% open Β· β±οΈ 03.09.2020):
+- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (π¨βπ» 25 Β· π 690 Β· π 230 - 16% open Β· β±οΈ 03.09.2020):
```
git clone https://github.com/CryptoSignal/crypto-signal
@@ -4014,11 +3992,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 6 hidden projects...
-- backtrader (π₯26 Β· β 5.5K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- PyAlgoTrade (π₯23 Β· β 3.1K Β· π) - Python Algorithmic Trading Library. Apache-2
+- backtrader (π₯26 Β· β 5.6K Β· π€) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- PyAlgoTrade (π₯23 Β· β 3.2K 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 950) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- FinTA (π₯22 Β· β 820) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
+- Backtesting.py (π₯17 Β· β 970) - 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
@@ -4029,66 +4007,66 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
-Prophet (π₯30 Β· β 12K) - Tool for producing high quality forecasts for time series data that has.. MIT
+Prophet (π₯29 Β· β 12K) - Tool for producing high quality forecasts for time series data that has.. MIT
- [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₯ 500K / month Β· π¦ 150 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 420K / month Β· π¦ 150 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
tsfresh (π₯27 Β· β 5.3K) - Automatic extraction of relevant features from time series:. MIT
+tsfresh (π₯27 Β· β 5.4K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 72 Β· π 850 Β· π 440 - 8% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 73 Β· π 850 Β· π 440 - 8% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 130K / month Β· π¦ 66 Β· β±οΈ 09.09.2020):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 110K / month Β· π¦ 66 Β· β±οΈ 09.09.2020):
```
pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 27K Β· β±οΈ 10.09.2020):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 28K Β· β±οΈ 10.09.2020):
```
conda install -c conda-forge tsfresh
```
sktime (π₯27 Β· β 3.5K) - A unified framework for machine learning with time series. BSD-3
+sktime (π₯26 Β· β 3.6K) - 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₯ 49 Β· π¦ 95 Β· π 320 - 31% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/alan-turing-institute/sktime) (π¨βπ» 74 Β· π 430 Β· π₯ 51 Β· π¦ 97 Β· π 330 - 30% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 8.7K / month Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 7.9K / 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
+pmdarima (π₯26 Β· β 810) - 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¦ 700 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¦ 720 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₯ 170K / month Β· π¦ 12 Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 150K / 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
+tslearn (π₯24 Β· β 1.5K) - 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):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 29 Β· π 220 Β· π¦ 190 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):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 47K / month Β· π¦ 22 Β· β±οΈ 25.01.2021):
```
pip install tslearn
```
@@ -4099,7 +4077,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
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):
+- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 38 Β· π 110 Β· π¦ 190 Β· π 220 - 41% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/python-streamz/streamz
@@ -4115,40 +4093,40 @@ _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 530 - 34% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/awslabs/gluon-ts) (π¨βπ» 67 Β· π 360 Β· π 530 - 33% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 17K / month Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 14K / month Β· β±οΈ 08.12.2020):
```
pip install gluonts
```
Darts (π₯22 Β· β 700) - A python library for easy manipulation and forecasting of time series. Apache-2
+Darts (π₯22 Β· β 710) - A python library for easy manipulation and forecasting of time series. Apache-2
-- [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):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 24 Β· π 91 Β· π¦ 12 Β· π 64 - 32% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 2.1K / month Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 2.9K / month Β· β±οΈ 03.02.2021):
```
pip install u8darts
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 75 Β· β±οΈ 06.10.2020):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 99 Β· β±οΈ 03.02.2021):
```
docker pull unit8/darts
```
STUMPY (π₯20 Β· β 1.6K Β· π) - STUMPY is a powerful and scalable Python library for computing a.. BSD-3
+STUMPY (π₯20 Β· β 1.7K) - 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 - 12% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 20 Β· π 160 Β· π 220 - 12% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 12K / month Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 9K / month Β· β±οΈ 20.01.2021):
```
pip install stumpy
```
@@ -4159,100 +4137,100 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
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 93 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¦ 83 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₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 21.03.2020):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 21.03.2020):
```
pip install pyts
```
-- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 5.9K Β· β±οΈ 21.03.2020):
+- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 6K Β· β±οΈ 21.03.2020):
```
conda install -c conda-forge pyts
```
pytorch-forecasting (π₯19 Β· β 680 Β· π£) - Time series forecasting with PyTorch. MIT
+pytorch-forecasting (π₯19 Β· β 700) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 11 Β· π 78 Β· π 110 - 25% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 14 Β· π 80 Β· π 120 - 23% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 2.5K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 2.8K / month Β· β±οΈ 31.01.2021):
```
pip install pytorch-forecasting
```
matrixprofile-ts (π₯19 Β· β 600 Β· π€) - A Python library for detecting patterns and anomalies.. Apache-2
+matrixprofile-ts (π₯19 Β· β 610 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¦ 12 Β· π 52 - 34% 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 53 - 35% open Β· β±οΈ 25.04.2020):
```
git clone https://github.com/target/matrixprofile-ts
```
-- [PyPi](https://pypi.org/project/matrixprofile-ts) (π₯ 2.5K / month Β· β±οΈ 08.08.2019):
+- [PyPi](https://pypi.org/project/matrixprofile-ts) (π₯ 2.3K / month Β· β±οΈ 08.08.2019):
```
pip install matrixprofile-ts
```
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):
+- [GitHub](https://github.com/dmbee/seglearn) (π¨βπ» 13 Β· π 47 Β· π¦ 6 Β· π 27 - 22% open Β· β±οΈ 16.01.2021):
```
git clone https://github.com/dmbee/seglearn
```
-- [PyPi](https://pypi.org/project/seglearn) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 17.01.2021):
+- [PyPi](https://pypi.org/project/seglearn) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 17.01.2021):
```
pip install seglearn
```
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 35 Β· π 28 - 17% open Β· β±οΈ 24.01.2021):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 5 Β· π 35 Β· π 29 - 20% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 580 / month Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 360 / month Β· β±οΈ 24.01.2021):
```
pip install auto-ts
```
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):
+- [GitHub](https://github.com/arundo/adtk) (π¨βπ» 11 Β· π 76 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₯ 24K / month Β· β±οΈ 17.04.2020):
+- [PyPi](https://pypi.org/project/adtk) (π₯ 21K / month Β· β±οΈ 17.04.2020):
```
pip install adtk
```
atspy (π₯17 Β· β 330) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- [GitHub](https://github.com/firmai/atspy) (π¨βπ» 5 Β· π 63 Β· π¦ 3 Β· π 18 - 88% open Β· β±οΈ 12.11.2020):
+- [GitHub](https://github.com/firmai/atspy) (π¨βπ» 5 Β· π 64 Β· π¦ 3 Β· π 18 - 88% open Β· β±οΈ 12.11.2020):
```
git clone https://github.com/firmai/atspy
```
-- [PyPi](https://pypi.org/project/atspy) (π₯ 220 / month Β· β±οΈ 24.04.2020):
+- [PyPi](https://pypi.org/project/atspy) (π₯ 210 / 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 75 Β· π₯ 160 Β· π¦ 30 Β· π 210 - 25% open Β· β±οΈ 15.06.2020):
+- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 16 Β· π 74 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₯ 360 / month Β· π¦ 1 Β· β±οΈ 24.05.2020):
+- [PyPi](https://pypi.org/project/tick) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 24.05.2020):
```
pip install tick
```
@@ -4260,7 +4238,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 3 hidden projects...
- 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
+- PyFlux (π₯21 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
@@ -4273,16 +4251,16 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (π₯30 Β· β 700) - Machine learning for NeuroImaging in Python. BSD-3
-- [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):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 160 Β· π 370 Β· π¦ 880 Β· π 1.5K - 25% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 7K / month Β· π¦ 300 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 6.9K / month Β· π¦ 300 Β· β±οΈ 12.11.2020):
```
pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 78K Β· β±οΈ 12.11.2020):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 79K Β· β±οΈ 12.11.2020):
```
conda install -c conda-forge nilearn
```
@@ -4294,7 +4272,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 91K / month Β· π¦ 130 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 85K / month Β· π¦ 130 Β· β±οΈ 22.01.2021):
```
pip install lifelines
```
@@ -4305,12 +4283,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
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¦ 500 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¦ 510 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₯ 8.7K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 7.7K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
```
pip install nipype
```
@@ -4319,81 +4297,81 @@ _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 390) - 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¦ 3.6K 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 400 - 28% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 40K / month Β· π¦ 1.3K Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 34K / month Β· π¦ 1.3K Β· β±οΈ 28.11.2020):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 290K Β· β±οΈ 29.11.2020):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 300K Β· β±οΈ 29.11.2020):
```
conda install -c conda-forge nibabel
```
DIPY (π₯28 Β· β 390) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
+MNE (π₯27 Β· β 1.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [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):
+- [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 03.02.2021):
```
- git clone https://github.com/dipy/dipy
+ git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/dipy) (π₯ 5K / month Β· π¦ 94 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/mne) (π₯ 14K / month Β· π¦ 200 Β· β±οΈ 17.12.2020):
```
- pip install dipy
+ pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 180K Β· β±οΈ 14.11.2020):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 100K Β· β±οΈ 20.12.2020):
```
- conda install -c conda-forge dipy
+ conda install -c conda-forge mne
```
MNE (π₯27 Β· β 1.5K Β· π) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3
+DIPY (π₯27 Β· β 390) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. 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):
+- [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/mne-tools/mne-python
+ git clone https://github.com/dipy/dipy
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 14K / month Β· π¦ 200 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/dipy) (π₯ 4.1K / month Β· π¦ 94 Β· β±οΈ 05.11.2020):
```
- pip install mne
+ pip install dipy
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 98K Β· β±οΈ 20.12.2020):
+- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 180K Β· β±οΈ 14.11.2020):
```
- conda install -c conda-forge mne
+ conda install -c conda-forge dipy
```
Hail (π₯23 Β· β 690) - Scalable genomic data analysis. MIT
+Hail (π₯23 Β· β 700) - Scalable genomic data analysis. MIT
-- [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):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 69 Β· π 180 Β· π¦ 30 Β· π 2.3K - 14% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 720 / month Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/hail) (π₯ 870 / month Β· β±οΈ 03.12.2020):
```
pip install hail
```
MONAI (π₯22 Β· β 1.7K) - AI Toolkit for Healthcare Imaging. Apache-2
+MONAI (π₯22 Β· β 1.8K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 53 Β· π 300 Β· π 670 - 11% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 53 Β· π 300 Β· π 680 - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 3.4K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/monai) (π₯ 2.6K / month Β· β±οΈ 15.12.2020):
```
pip install monai
```
DeepVariant (π₯21 Β· β 2.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [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):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 19 Β· π 520 Β· π₯ 3K Β· π 380 - 0% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/google/deepvariant
@@ -4410,7 +4388,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/NifTK/NiftyNet
```
-- [PyPi](https://pypi.org/project/niftynet) (π₯ 130 / month Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/niftynet) (π₯ 100 / month Β· β±οΈ 10.10.2019):
```
pip install niftynet
```
@@ -4422,7 +4400,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 96 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 93 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
@@ -4431,14 +4409,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
docker pull brainiak/brainiak
```
Glow (π₯18 Β· β 160) - An open-source toolkit for large-scale genomic analysis. Apache-2
+Glow (π₯19 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 73 - 30% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/projectglow/glow) (π¨βπ» 11 Β· π 40 Β· π 75 - 29% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/projectglow/glow
```
-- [PyPi](https://pypi.org/project/glow.py) (π₯ 700 / month Β· β±οΈ 10.09.2020):
+- [PyPi](https://pypi.org/project/glow.py) (π₯ 1.2K / month Β· β±οΈ 10.09.2020):
```
pip install glow.py
```
@@ -4451,7 +4429,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit
```
MedicalNet (π₯11 Β· β 1K) - Many studies have shown that the performance on deep learning is.. MIT
+MedicalNet (π₯11 Β· β 1.1K) - 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 57 - 75% open Β· β±οΈ 27.08.2020):
@@ -4461,10 +4439,10 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 5 hidden projects...
-- 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
+- NIPY (π₯20 Β· β 290) - Neuroimaging in Python FMRI analysis package. βοΈDSDP
- DLTK (π₯19 Β· β 1.2K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2 Apache-2 MIT
@@ -4477,68 +4455,68 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
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 250 - 2% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 36 Β· π 500 Β· π 250 - 2% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 470K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 450K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2020):
```
pip install pytesseract
```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 39K Β· β±οΈ 20.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 40K 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
-- [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):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 74 Β· π 1K Β· π₯ 140K Β· π¦ 120 Β· π 250 - 34% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 9.5K / month Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 9.1K / month Β· β±οΈ 01.02.2021):
```
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₯26 Β· β 3.8K) - 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 660 - 13% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/jbarlow83/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 10K / month Β· π¦ 12 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 7.9K / month Β· π¦ 12 Β· β±οΈ 26.01.2021):
```
pip install ocrmypdf
```
tesserocr (π₯26 Β· β 1.4K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 23 Β· π 180 Β· π¦ 450 Β· π 200 - 29% open Β· β±οΈ 18.01.2021):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 23 Β· π 190 Β· π¦ 460 Β· π 200 - 29% open Β· β±οΈ 18.01.2021):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 25K / month Β· π¦ 50 Β· β±οΈ 17.03.2020):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 27K / month Β· π¦ 50 Β· β±οΈ 17.03.2020):
```
pip install tesserocr
```
-- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 32K Β· β±οΈ 13.01.2021):
+- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 33K Β· β±οΈ 13.01.2021):
```
conda install -c conda-forge tesserocr
```
PaddleOCR (π₯24 Β· β 10K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯24 Β· β 11K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [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):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 41 Β· π 2K Β· π¦ 20 Β· π 1.3K - 33% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 1.2K / month Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 1.1K / month Β· β±οΈ 18.12.2020):
```
pip install paddleocr
```
@@ -4550,19 +4528,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/emedvedev/attention-ocr
```
-- [PyPi](https://pypi.org/project/aocr) (π₯ 140 / month Β· β±οΈ 19.04.2019):
+- [PyPi](https://pypi.org/project/aocr) (π₯ 130 / month Β· β±οΈ 19.04.2019):
```
pip install aocr
```
keras-ocr (π₯20 Β· β 740) - A packaged and flexible version of the CRAFT text detector and.. MIT
+keras-ocr (π₯20 Β· β 760) - 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₯ 16K Β· π 120 - 23% open Β· β±οΈ 26.11.2020):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 9 Β· π 170 Β· π₯ 17K 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₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 26.11.2020):
+- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 26.11.2020):
```
pip install keras-ocr
```
@@ -4574,26 +4552,26 @@ _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₯ 200 / month Β· β±οΈ 06.09.2016):
+- [PyPi](https://pypi.org/project/doc2text) (π₯ 190 / 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
+calamari (π₯19 Β· β 780) - Line based ATR Engine based on OCRopy. Apache-2
-- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 17 Β· π 160 Β· π 160 - 13% open Β· β±οΈ 23.01.2021):
+- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 17 Β· π 160 Β· π 170 - 12% open Β· β±οΈ 30.01.2021):
```
git clone https://github.com/Calamari-OCR/calamari
```
-- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 350 / month Β· π¦ 2 Β· β±οΈ 13.11.2018):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 340 / 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):
+- [GitHub](https://github.com/aashrafh/Mozart) (π¨βπ» 5 Β· π 35 Β· π 2 - 50% open Β· β±οΈ 14.01.2021):
```
git clone https://github.com/aashrafh/Mozart
@@ -4613,44 +4591,44 @@ _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₯ 94K Β· π¦ 370K Β· π 20K - 18% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/pandas-dev/pandas) (π¨βπ» 2.6K Β· π 12K Β· π₯ 95K Β· π¦ 380K Β· π 20K - 18% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/pandas-dev/pandas
```
-- [PyPi](https://pypi.org/project/pandas) (π₯ 19M / month Β· π¦ 77K Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/pandas) (π₯ 17M / month Β· π¦ 77K Β· β±οΈ 20.01.2021):
```
pip install pandas
```
-- [Conda](https://anaconda.org/conda-forge/pandas) (π₯ 13M Β· β±οΈ 20.01.2021):
+- [Conda](https://anaconda.org/conda-forge/pandas) (π₯ 14M Β· β±οΈ 20.01.2021):
```
conda install -c conda-forge pandas
```
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¦ 610K Β· π 9.5K - 23% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/numpy/numpy) (π¨βπ» 1.2K Β· π 5.2K Β· π₯ 300K Β· π¦ 620K Β· π 9.5K - 23% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/numpy/numpy
```
-- [PyPi](https://pypi.org/project/numpy) (π₯ 31M / month Β· π¦ 170K Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/numpy) (π₯ 27M / month Β· π¦ 170K Β· β±οΈ 30.01.2021):
```
pip install numpy
```
-- [Conda](https://anaconda.org/conda-forge/numpy) (π₯ 16M Β· β±οΈ 11.01.2021):
+- [Conda](https://anaconda.org/conda-forge/numpy) (π₯ 16M Β· β±οΈ 02.02.2021):
```
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₯ 800 Β· π¦ 100K 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₯ 810 Β· π¦ 100K Β· π 1.1K - 16% open Β· β±οΈ 31.01.2021):
```
git clone https://github.com/h5py/h5py
```
-- [PyPi](https://pypi.org/project/h5py) (π₯ 4.2M / month Β· π¦ 23K Β· β±οΈ 06.11.2020):
+- [PyPi](https://pypi.org/project/h5py) (π₯ 3.6M / month Β· π¦ 23K Β· β±οΈ 06.11.2020):
```
pip install h5py
```
@@ -4659,14 +4637,14 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge h5py
```
Arrow (π₯35 Β· β 7K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2
+Arrow (π₯35 Β· β 7.1K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2
-- [GitHub](https://github.com/apache/arrow) (π¨βπ» 620 Β· π 1.8K Β· π¦ 30 Β· π 700 - 21% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/apache/arrow) (π¨βπ» 620 Β· π 1.8K Β· π¦ 31 Β· π 700 - 19% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/apache/arrow
```
-- [PyPi](https://pypi.org/project/pyarrow) (π₯ 11M / month Β· π¦ 990 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/pyarrow) (π₯ 10M / month Β· π¦ 990 Β· β±οΈ 26.01.2021):
```
pip install pyarrow
```
@@ -4677,16 +4655,16 @@ _General-purpose data containers & structures as well as utilities & extensions
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¦ 5K Β· π 2.7K - 29% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/pydata/xarray) (π¨βπ» 290 Β· π 620 Β· π¦ 5.1K Β· π 2.7K - 29% open Β· β±οΈ 30.01.2021):
```
git clone https://github.com/pydata/xarray
```
-- [PyPi](https://pypi.org/project/xarray) (π₯ 230K / month Β· π¦ 1.1K Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/xarray) (π₯ 210K / month Β· π¦ 1.1K Β· β±οΈ 30.11.2020):
```
pip install xarray
```
-- [Conda](https://anaconda.org/conda-forge/xarray) (π₯ 2.3M Β· β±οΈ 01.12.2020):
+- [Conda](https://anaconda.org/conda-forge/xarray) (π₯ 2.4M Β· β±οΈ 01.12.2020):
```
conda install -c conda-forge xarray
```
@@ -4698,7 +4676,7 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/pydata/numexpr
```
-- [PyPi](https://pypi.org/project/numexpr) (π₯ 570K / month Β· π¦ 5.5K Β· β±οΈ 05.01.2020):
+- [PyPi](https://pypi.org/project/numexpr) (π₯ 480K / month Β· π¦ 5.5K Β· β±οΈ 05.01.2020):
```
pip install numexpr
```
@@ -4707,18 +4685,6 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge numexpr
```
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 - 27% open Β· β±οΈ 28.01.2021):
-
- ```
- git clone https://github.com/modin-project/modin
- ```
-- [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 370 Β· π 250 - 3% open Β· β±οΈ 23.01.2021):
@@ -4726,7 +4692,7 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/msiemens/tinydb
```
-- [PyPi](https://pypi.org/project/tinydb) (π₯ 130K / month Β· π¦ 1.1K Β· β±οΈ 14.11.2020):
+- [PyPi](https://pypi.org/project/tinydb) (π₯ 120K / month Β· π¦ 1.1K Β· β±οΈ 14.11.2020):
```
pip install tinydb
```
@@ -4737,28 +4703,28 @@ _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 300 Β· π₯ 1K Β· π¦ 72 Β· π 510 - 17% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/databricks/koalas) (π¨βπ» 47 Β· π 300 Β· π₯ 1K Β· π¦ 73 Β· π 520 - 17% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/databricks/koalas
```
-- [PyPi](https://pypi.org/project/koalas) (π₯ 670K / month Β· π¦ 2 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/koalas) (π₯ 550K / 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 22.01.2021):
+- [Conda](https://anaconda.org/conda-forge/koalas) (π₯ 76K Β· β±οΈ 22.01.2021):
```
conda install -c conda-forge koalas
```
Bottleneck (π₯29 Β· β 570) - Fast NumPy array functions written in C. BSD-2
+Bottleneck (π₯29 Β· β 580) - Fast NumPy array functions written in C. BSD-2
-- [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):
+- [GitHub](https://github.com/pydata/bottleneck) (π¨βπ» 21 Β· π 65 Β· π¦ 19K Β· π 200 - 12% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/pydata/bottleneck
```
-- [PyPi](https://pypi.org/project/Bottleneck) (π₯ 160K / month Β· π¦ 2.9K Β· β±οΈ 21.02.2020):
+- [PyPi](https://pypi.org/project/Bottleneck) (π₯ 120K / month Β· π¦ 2.9K Β· β±οΈ 21.02.2020):
```
pip install Bottleneck
```
@@ -4767,14 +4733,26 @@ _General-purpose data containers & structures as well as utilities & extensions
conda install -c conda-forge bottleneck
```
Modin (π₯28 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» 68 Β· π 380 Β· π₯ 200K Β· π¦ 300 Β· π 1.5K - 27% open Β· β±οΈ 04.02.2021):
+
+ ```
+ git clone https://github.com/modin-project/modin
+ ```
+- [PyPi](https://pypi.org/project/modin) (π₯ 41K / month Β· π¦ 18 Β· β±οΈ 12.01.2021):
+ ```
+ pip install modin
+ ```
+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 600 - 26% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/PyTables/PyTables) (π¨βπ» 96 Β· π 180 Β· π₯ 120 Β· π 600 - 25% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/PyTables/PyTables
```
-- [PyPi](https://pypi.org/project/tables) (π₯ 280K / month Β· π¦ 3.8K Β· β±οΈ 30.10.2019):
+- [PyPi](https://pypi.org/project/tables) (π₯ 240K / month Β· π¦ 3.8K Β· β±οΈ 30.10.2019):
```
pip install tables
```
@@ -4790,23 +4768,23 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/ekzhu/datasketch
```
-- [PyPi](https://pypi.org/project/datasketch) (π₯ 150K / month Β· π¦ 86 Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/datasketch) (π₯ 120K / month Β· π¦ 86 Β· β±οΈ 15.12.2020):
```
pip install datasketch
```
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¦ 530 Β· π 410 - 43% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/zarr-developers/zarr-python) (π¨βπ» 35 Β· π 110 Β· π¦ 540 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₯ 74K / month Β· π¦ 72 Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/zarr) (π₯ 83K / month Β· π¦ 72 Β· β±οΈ 02.12.2020):
```
pip install zarr
```
-- [Conda](https://anaconda.org/conda-forge/zarr) (π₯ 540K Β· β±οΈ 03.12.2020):
+- [Conda](https://anaconda.org/conda-forge/zarr) (π₯ 550K Β· β±οΈ 03.12.2020):
```
conda install -c conda-forge zarr
```
@@ -4818,11 +4796,11 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/jmcarpenter2/swifter
```
-- [PyPi](https://pypi.org/project/swifter) (π₯ 41K / month Β· π¦ 16 Β· β±οΈ 11.10.2020):
+- [PyPi](https://pypi.org/project/swifter) (π₯ 38K / month Β· π¦ 16 Β· β±οΈ 11.10.2020):
```
pip install swifter
```
-- [Conda](https://anaconda.org/conda-forge/swifter) (π₯ 74K Β· β±οΈ 20.09.2020):
+- [Conda](https://anaconda.org/conda-forge/swifter) (π₯ 75K Β· β±οΈ 20.09.2020):
```
conda install -c conda-forge swifter
```
@@ -4834,7 +4812,7 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/Blosc/bcolz
```
-- [PyPi](https://pypi.org/project/bcolz) (π₯ 16K / month Β· π¦ 970 Β· β±οΈ 13.04.2018):
+- [PyPi](https://pypi.org/project/bcolz) (π₯ 13K / month Β· π¦ 970 Β· β±οΈ 13.04.2018):
```
pip install bcolz
```
@@ -4850,67 +4828,67 @@ _General-purpose data containers & structures as well as utilities & extensions
```
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):
+- [PyPi](https://pypi.org/project/arctic) (π₯ 1.4K / 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](https://anaconda.org/conda-forge/arctic) (π₯ 13K 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
+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/nalepae/pandarallel) (π¨βπ» 13 Β· π 93 Β· π¦ 140 Β· π 110 - 53% open Β· β±οΈ 16.12.2020):
+- [GitHub](https://github.com/vaexio/vaex) (π¨βπ» 38 Β· π 440 Β· π₯ 200 Β· π 680 - 42% open Β· β±οΈ 02.02.2021):
```
- git clone https://github.com/nalepae/pandarallel
+ git clone https://github.com/vaexio/vaex
```
-- [PyPi](https://pypi.org/project/pandarallel) (π₯ 35K / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/vaex) (π₯ 2.9K / month Β· π¦ 2 Β· β±οΈ 27.01.2021):
```
- pip install pandarallel
+ pip install vaex
+ ```
+- [Conda](https://anaconda.org/conda-forge/vaex) (π₯ 95K Β· β±οΈ 01.06.2020):
+ ```
+ conda install -c conda-forge vaex
```
Vaex (π₯22 Β· β 5.7K) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data.. MIT
+PandaralΒ·lel (π₯22 Β· β 1.4K) - A simple and efficient tool to parallelize Pandas.. BSD-3
-- [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):
+- [GitHub](https://github.com/nalepae/pandarallel) (π¨βπ» 13 Β· π 94 Β· π¦ 140 Β· π 120 - 53% open Β· β±οΈ 16.12.2020):
```
- git clone https://github.com/vaexio/vaex
- ```
-- [PyPi](https://pypi.org/project/vaex) (π₯ 3.1K / month Β· π¦ 2 Β· β±οΈ 27.01.2021):
- ```
- pip install vaex
+ git clone https://github.com/nalepae/pandarallel
```
-- [Conda](https://anaconda.org/conda-forge/vaex) (π₯ 94K Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/pandarallel) (π₯ 31K / month Β· β±οΈ 25.08.2020):
```
- conda install -c conda-forge vaex
+ pip install pandarallel
```
datatable (π₯21 Β· β 1.1K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0
+datatable (π₯20 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 96 Β· π₯ 920 Β· π 1.2K - 10% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/h2oai/datatable) (π¨βπ» 28 Β· π 96 Β· π₯ 920 Β· π 1.2K - 10% open Β· β±οΈ 28.01.2021):
```
git clone https://github.com/h2oai/datatable
```
-- [PyPi](https://pypi.org/project/datatable) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/datatable) (π₯ 8K / month Β· π¦ 6 Β· β±οΈ 10.12.2020):
```
pip install datatable
```
StaticFrame (π₯20 Β· β 210) - The StaticFrame library defines the Series and Frame, immutable data.. MIT
-- [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):
+- [GitHub](https://github.com/InvestmentSystems/static-frame) (π¨βπ» 15 Β· π 20 Β· π¦ 6 Β· π 280 - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/InvestmentSystems/static-frame
```
-- [PyPi](https://pypi.org/project/static-frame) (π₯ 920 / month Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/static-frame) (π₯ 640 / month Β· β±οΈ 25.01.2021):
```
pip install static-frame
```
-- [Conda](https://anaconda.org/conda-forge/static-frame) (π₯ 61K Β· β±οΈ 26.01.2021):
+- [Conda](https://anaconda.org/conda-forge/static-frame) (π₯ 62K Β· β±οΈ 26.01.2021):
```
conda install -c conda-forge static-frame
```
@@ -4922,7 +4900,7 @@ _General-purpose data containers & structures as well as utilities & extensions
```
git clone https://github.com/xhochy/fletcher
```
-- [PyPi](https://pypi.org/project/fletcher) (π₯ 240 / month Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/fletcher) (π₯ 210 / month Β· β±οΈ 29.12.2020):
```
pip install fletcher
```
@@ -4943,14 +4921,14 @@ _General-purpose data containers & structures as well as utilities & extensions
pip install bounter
```
PandaPy (π₯15 Β· β 470) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT
+PandaPy (π₯13 Β· β 470 Β· π) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. MIT
- [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₯ 36 / month Β· β±οΈ 25.01.2020):
+- [PyPi](https://pypi.org/project/pandapy) (π₯ 12 / month Β· β±οΈ 25.01.2020):
```
pip install pandapy
```
@@ -4960,7 +4938,7 @@ _General-purpose data containers & structures as well as utilities & extensions
- 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 MIT BSD-3
+- pickleDB (π₯21 Β· β 540 Β· π) - pickleDB is an open source key-value store using Python's json.. BSD-3
- Pandas Summary (π₯21 Β· β 360 Β· π) - An extension to pandas dataframes describe function. MIT
@@ -4973,16 +4951,16 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
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» 390 Β· π 1.4K Β· π¦ 23K Β· π 480 - 27% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/joke2k/faker) (π¨βπ» 390 Β· π 1.4K Β· π¦ 23K Β· π 490 - 27% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/joke2k/faker
```
-- [PyPi](https://pypi.org/project/Faker) (π₯ 1.6M / month Β· π¦ 4.7K Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/Faker) (π₯ 1.4M / month Β· π¦ 4.7K Β· β±οΈ 03.02.2021):
```
pip install Faker
```
-- [Conda](https://anaconda.org/conda-forge/faker) (π₯ 370K Β· β±οΈ 26.01.2021):
+- [Conda](https://anaconda.org/conda-forge/faker) (π₯ 370K Β· β±οΈ 03.02.2021):
```
conda install -c conda-forge faker
```
@@ -4994,7 +4972,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/python-excel/xlrd
```
-- [PyPi](https://pypi.org/project/xlrd) (π₯ 4.3M / month Β· π¦ 14K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/xlrd) (π₯ 3.8M / month Β· π¦ 14K Β· β±οΈ 11.12.2020):
```
pip install xlrd
```
@@ -5003,30 +4981,14 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
conda install -c conda-forge xlrd
```
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¦ 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₯ 3.3M / month Β· π¦ 8.2K Β· β±οΈ 11.02.2019):
- ```
- pip install xmltodict
- ```
-- [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 3.9K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT
+Tablib (π₯31 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¦ 9.2K 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¦ 9.3K 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₯ 450K / month Β· π¦ 2.4K Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/tablib) (π₯ 380K / month Β· π¦ 2.4K Β· β±οΈ 05.12.2020):
```
pip install tablib
```
@@ -5035,26 +4997,26 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
conda install -c conda-forge tablib
```
TensorFlow Datasets (π₯32 Β· β 2.6K) - TFDS is a collection of datasets ready to use with.. Apache-2
+TensorFlow Datasets (π₯31 Β· β 2.7K) - 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¦ 3.5K Β· π 920 - 42% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 180 Β· π 960 Β· π¦ 3.6K Β· π 930 - 42% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 440K / month Β· π¦ 100 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 380K / month Β· π¦ 100 Β· β±οΈ 07.01.2021):
```
pip install tensorflow-datasets
```
python-magic (π₯31 Β· β 1.8K) - A python wrapper for libmagic. MIT
+python-magic (π₯31 Β· β 1.8K) - A python wrapper for libmagic. MIT
-- [GitHub](https://github.com/ahupp/python-magic) (π¨βπ» 49 Β· π 220 Β· π¦ 12K Β· π 150 - 17% open Β· β±οΈ 16.01.2021):
+- [GitHub](https://github.com/ahupp/python-magic) (π¨βπ» 49 Β· π 220 Β· π¦ 12K Β· π 160 - 18% open Β· β±οΈ 16.01.2021):
```
git clone https://github.com/ahupp/python-magic
```
-- [PyPi](https://pypi.org/project/python-magic) (π₯ 1.2M / month Β· π¦ 5.1K Β· β±οΈ 16.01.2021):
+- [PyPi](https://pypi.org/project/python-magic) (π₯ 1M / month Β· π¦ 5.1K Β· β±οΈ 16.01.2021):
```
pip install python-magic
```
@@ -5063,6 +5025,22 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
conda install -c conda-forge python-magic
```
xmltodict (π₯30 Β· β 4.3K 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¦ 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₯ 2.9M / month Β· π¦ 8.2K Β· β±οΈ 11.02.2019):
+ ```
+ pip install xmltodict
+ ```
+- [Conda](https://anaconda.org/conda-forge/xmltodict) (π₯ 640K Β· β±οΈ 11.02.2019):
+ ```
+ conda install -c conda-forge xmltodict
+ ```
+smart-open (π₯30 Β· β 1.9K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT
- [GitHub](https://github.com/RaRe-Technologies/smart_open) (π¨βπ» 72 Β· π 270 Β· π 290 - 17% open Β· β±οΈ 18.01.2021):
@@ -5070,14 +5048,14 @@ _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₯ 6.4M / month Β· π¦ 640 Β· β±οΈ 18.01.2021):
+- [PyPi](https://pypi.org/project/smart-open) (π₯ 5.2M / month Β· π¦ 640 Β· β±οΈ 18.01.2021):
```
pip install smart-open
```
Datasets (π₯29 Β· β 6.6K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2
+Datasets (π₯29 Β· β 6.7K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2
-- [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):
+- [GitHub](https://github.com/huggingface/datasets) (π¨βπ» 220 Β· π 690 Β· π¦ 320 Β· π 520 - 36% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/huggingface/datasets
@@ -5089,16 +5067,16 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
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 500 Β· π¦ 7.6K Β· π 440 - 16% open Β· β±οΈ 31.12.2020):
+- [GitHub](https://github.com/pydata/pandas-datareader) (π¨βπ» 77 Β· π 500 Β· π¦ 7.7K 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₯ 98K / month Β· π¦ 1.4K Β· β±οΈ 10.07.2020):
+- [PyPi](https://pypi.org/project/pandas-datareader) (π₯ 83K / month Β· π¦ 1.4K Β· β±οΈ 10.07.2020):
```
pip install pandas-datareader
```
-- [Conda](https://anaconda.org/conda-forge/pandas-datareader) (π₯ 88K Β· β±οΈ 20.11.2019):
+- [Conda](https://anaconda.org/conda-forge/pandas-datareader) (π₯ 91K Β· β±οΈ 20.11.2019):
```
conda install -c conda-forge pandas-datareader
```
@@ -5110,7 +5088,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/wireservice/csvkit
```
-- [PyPi](https://pypi.org/project/csvkit) (π₯ 22K / month Β· π¦ 700 Β· β±οΈ 03.03.2020):
+- [PyPi](https://pypi.org/project/csvkit) (π₯ 20K / month Β· π¦ 700 Β· β±οΈ 03.03.2020):
```
pip install csvkit
```
@@ -5119,30 +5097,14 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
conda install -c conda-forge csvkit
```
PDFMiner (π₯27 Β· β 4.5K Β· π€) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. 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):
-
- ```
- git clone https://github.com/euske/pdfminer
- ```
-- [PyPi](https://pypi.org/project/pdfminer) (π₯ 140K / month Β· π¦ 1.5K Β· β±οΈ 25.11.2019):
- ```
- pip install pdfminer
- ```
-- [Conda](https://anaconda.org/conda-forge/pdfminer) (π₯ 14K Β· β±οΈ 18.01.2021):
- ```
- 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
+snorkel (π₯26 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₯ 500 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 720 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₯ 58K / month Β· π¦ 4 Β· β±οΈ 07.04.2020):
+- [PyPi](https://pypi.org/project/snorkel) (π₯ 55K / month Β· π¦ 4 Β· β±οΈ 07.04.2020):
```
pip install snorkel
```
@@ -5151,14 +5113,14 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
conda install -c conda-forge snorkel
```
tabulator-py (π₯26 Β· β 200) - Python library for reading and writing tabular data via streams. MIT
+tabulator-py (π₯25 Β· β 200) - Python library for reading and writing tabular data via streams. MIT
- [GitHub](https://github.com/frictionlessdata/tabulator-py) (π¨βπ» 24 Β· π 40 Β· π¦ 460 Β· β±οΈ 30.11.2020):
```
git clone https://github.com/frictionlessdata/tabulator-py
```
-- [PyPi](https://pypi.org/project/tabulator) (π₯ 80K / month Β· π¦ 100 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/tabulator) (π₯ 76K / month Β· π¦ 100 Β· β±οΈ 30.11.2020):
```
pip install tabulator
```
@@ -5174,23 +5136,23 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/intake/intake
```
-- [PyPi](https://pypi.org/project/intake) (π₯ 2.1K / month Β· π¦ 74 Β· β±οΈ 03.06.2020):
+- [PyPi](https://pypi.org/project/intake) (π₯ 2.3K / month Β· π¦ 74 Β· β±οΈ 03.06.2020):
```
pip install intake
```
-- [Conda](https://anaconda.org/conda-forge/intake) (π₯ 56K Β· β±οΈ 03.06.2020):
+- [Conda](https://anaconda.org/conda-forge/intake) (π₯ 58K Β· β±οΈ 03.06.2020):
```
conda install -c conda-forge intake
```
SDV (π₯21 Β· β 310) - Synthetic Data Generation for tabular, relational and time series data. MIT
+SDV (π₯21 Β· β 320) - Synthetic Data Generation for tabular, relational and time series data. MIT
-- [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):
+- [GitHub](https://github.com/sdv-dev/SDV) (π¨βπ» 33 Β· π 58 Β· π¦ 13 Β· π 180 - 24% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/sdv-dev/SDV
```
-- [PyPi](https://pypi.org/project/sdv) (π₯ 910 / month Β· β±οΈ 28.01.2021):
+- [PyPi](https://pypi.org/project/sdv) (π₯ 780 / month Β· β±οΈ 28.01.2021):
```
pip install sdv
```
@@ -5202,20 +5164,21 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
```
git clone https://github.com/shawnbrown/datatest
```
-- [PyPi](https://pypi.org/project/datatest) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/datatest) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 04.01.2021):
```
pip install datatest
```
Show 7 hidden projects...
+Show 8 hidden projects...
+- PDFMiner (π₯27 Β· β 4.5K Β· π) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT
- textract (π₯26 Β· β 2.9K Β· π) - extract text from any document. no muss. no fuss. MIT
+- Singer (π₯24 Β· β 690) - Standard for moving data between databases, web APIs, files, queues,.. βοΈAGPL-3.0
- Camelot (π₯23 Β· β 3K Β· π) - Camelot: PDF Table Extraction for Humans. MIT
-- 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 84) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3
+- pyexcel-xlsx (π₯22 Β· β 85) - 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
+- rows (π₯20 Β· β 740) - A common, beautiful interface to tabular data, no matter the format. βοΈLGPL-3.0
@@ -5225,7 +5188,7 @@ _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 960) - Collection of web-scraping and crawling libraries.
+π best-of-web-python - Web Scraping ( β 990 Β· π£) - Collection of web-scraping and crawling libraries.
@@ -5242,23 +5205,23 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/celery/celery
```
-- [PyPi](https://pypi.org/project/celery) (π₯ 1.7M / month Β· π¦ 28K Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/celery) (π₯ 1.6M / month Β· π¦ 28K Β· β±οΈ 16.12.2020):
```
pip install celery
```
-- [Conda](https://anaconda.org/conda-forge/celery) (π₯ 370K Β· β±οΈ 11.11.2020):
+- [Conda](https://anaconda.org/conda-forge/celery) (π₯ 380K Β· β±οΈ 11.11.2020):
```
conda install -c conda-forge celery
```
Airflow (π₯35 Β· β 20K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2
+Airflow (π₯35 Β· β 21K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2
-- [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):
+- [GitHub](https://github.com/apache/airflow) (π¨βπ» 1.7K Β· π 7.9K Β· π₯ 85K Β· π 2.9K - 33% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/apache/airflow
```
-- [PyPi](https://pypi.org/project/apache-airflow) (π₯ 480K / month Β· π¦ 290 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/apache-airflow) (π₯ 440K / month Β· π¦ 290 Β· β±οΈ 14.12.2020):
```
pip install apache-airflow
```
@@ -5266,95 +5229,95 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
conda install -c conda-forge airflow
```
-- [Docker Hub](https://hub.docker.com/r/apache/airflow) (π₯ 5.3M Β· β 210 Β· β±οΈ 26.01.2021):
+- [Docker Hub](https://hub.docker.com/r/apache/airflow) (π₯ 5.8M Β· β 210 Β· β±οΈ 04.02.2021):
```
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¦ 79K 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¦ 80K 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₯ 13M / month Β· π¦ 6.6K Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/joblib) (π₯ 11M / month Β· π¦ 6.6K Β· β±οΈ 14.12.2020):
```
pip install joblib
```
-- [Conda](https://anaconda.org/conda-forge/joblib) (π₯ 3M Β· β±οΈ 14.12.2020):
+- [Conda](https://anaconda.org/conda-forge/joblib) (π₯ 3.2M 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 - 6% 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 02.02.2021):
```
git clone https://github.com/spotify/luigi
```
-- [PyPi](https://pypi.org/project/luigi) (π₯ 320K / month Β· π¦ 680 Β· β±οΈ 23.09.2020):
+- [PyPi](https://pypi.org/project/luigi) (π₯ 310K / month Β· π¦ 680 Β· β±οΈ 23.09.2020):
```
pip install luigi
```
-- [Conda](https://anaconda.org/anaconda/luigi) (π₯ 6.3K Β· β±οΈ 21.07.2020):
+- [Conda](https://anaconda.org/anaconda/luigi) (π₯ 6.5K Β· β±οΈ 21.07.2020):
```
conda install -c anaconda luigi
```
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¦ 7.2K Β· π 810 - 17% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/rq/rq) (π¨βπ» 230 Β· π 1.2K Β· π¦ 7.2K Β· π 810 - 17% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/rq/rq
```
-- [PyPi](https://pypi.org/project/rq) (π₯ 190K / month Β· π¦ 3.3K Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/rq) (π₯ 180K / month Β· π¦ 3.3K Β· β±οΈ 29.11.2020):
```
pip install rq
```
-- [Conda](https://anaconda.org/conda-forge/rq) (π₯ 43K Β· β±οΈ 29.11.2020):
+- [Conda](https://anaconda.org/conda-forge/rq) (π₯ 44K Β· β±οΈ 29.11.2020):
```
conda install -c conda-forge rq
```
Beam (π₯32 Β· β 4.5K) - Unified programming model to define and execute data processing.. Apache-2
+Beam (π₯32 Β· β 4.6K) - 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 28.01.2021):
+- [GitHub](https://github.com/apache/beam) (π¨βπ» 1K Β· π 2.8K Β· β±οΈ 04.02.2021):
```
git clone https://github.com/apache/beam
```
-- [PyPi](https://pypi.org/project/apache-beam) (π₯ 1.2M / month Β· π¦ 190 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/apache-beam) (π₯ 1M / month Β· π¦ 190 Β· β±οΈ 08.01.2021):
```
pip install apache-beam
```
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 27.01.2021):
+- [GitHub](https://github.com/PrefectHQ/prefect) (π¨βπ» 180 Β· π 510 Β· π¦ 250 Β· π 1.5K - 14% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/PrefectHQ/prefect
```
-- [PyPi](https://pypi.org/project/prefect) (π₯ 43K / month Β· π¦ 2 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/prefect) (π₯ 40K / month Β· π¦ 2 Β· β±οΈ 02.02.2021):
```
pip install prefect
```
-- [Conda](https://anaconda.org/conda-forge/prefect) (π₯ 67K Β· β±οΈ 27.01.2021):
+- [Conda](https://anaconda.org/conda-forge/prefect) (π₯ 68K Β· β±οΈ 02.02.2021):
```
conda install -c conda-forge prefect
```
mrjob (π₯30 Β· β 2.5K) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2
-- [GitHub](https://github.com/Yelp/mrjob) (π¨βπ» 140 Β· π 590 Β· π¦ 660 Β· π 1.3K - 15% open Β· β±οΈ 16.11.2020):
+- [GitHub](https://github.com/Yelp/mrjob) (π¨βπ» 140 Β· π 590 Β· π¦ 670 Β· π 1.3K - 15% open Β· β±οΈ 16.11.2020):
```
git clone https://github.com/Yelp/mrjob
```
-- [PyPi](https://pypi.org/project/mrjob) (π₯ 86K / month Β· π¦ 110 Β· β±οΈ 17.09.2020):
+- [PyPi](https://pypi.org/project/mrjob) (π₯ 67K / month Β· π¦ 110 Β· β±οΈ 17.09.2020):
```
pip install mrjob
```
@@ -5363,14 +5326,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
conda install -c conda-forge mrjob
```
dbt (π₯29 Β· β 2.4K Β· π) - dbt (data build tool) enables data analysts and engineers to.. Apache-2
+dbt (π₯29 Β· β 2.5K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2
-- [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):
+- [GitHub](https://github.com/fishtown-analytics/dbt) (π¨βπ» 130 Β· π 490 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₯ 95K / month Β· π¦ 18 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/dbt) (π₯ 94K / month Β· π¦ 18 Β· β±οΈ 27.01.2021):
```
pip install dbt
```
@@ -5379,38 +5342,38 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
conda install -c conda-forge dbt
```
faust (π₯28 Β· β 5.2K Β· π) - Python Stream Processing. BSD-3
+faust (π₯28 Β· β 5.3K) - Python Stream Processing. BSD-3
-- [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):
+- [GitHub](https://github.com/robinhood/faust) (π¨βπ» 91 Β· π 440 Β· π¦ 620 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₯ 60K / month Β· π¦ 28 Β· β±οΈ 25.02.2020):
+- [PyPi](https://pypi.org/project/faust) (π₯ 77K / 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
+Kedro (π₯28 Β· β 3.4K) - 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):
+- [GitHub](https://github.com/quantumblacklabs/kedro) (π¨βπ» 95 Β· π 390 Β· π¦ 380 Β· π 430 - 20% open Β· β±οΈ 04.02.2021):
```
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):
+- [PyPi](https://pypi.org/project/kedro) (π₯ 47K / 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
+Dagster (π₯27 Β· β 2.9K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2
-- [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):
+- [GitHub](https://github.com/dagster-io/dagster) (π¨βπ» 120 Β· π 280 Β· π¦ 140 Β· π 2.5K - 25% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/dagster-io/dagster
```
-- [PyPi](https://pypi.org/project/dagster) (π₯ 24K / month Β· π¦ 4 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/dagster) (π₯ 21K / month Β· π¦ 4 Β· β±οΈ 29.01.2021):
```
pip install dagster
```
@@ -5419,18 +5382,18 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
conda install -c conda-forge dagster
```
petl (π₯27 Β· β 820) - Python Extract Transform and Load Tables of Data. MIT
+petl (π₯27 Β· β 830) - Python Extract Transform and Load Tables of Data. MIT
-- [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):
+- [GitHub](https://github.com/petl-developers/petl) (π¨βπ» 44 Β· π 150 Β· π¦ 320 Β· π 410 - 16% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/petl-developers/petl
```
-- [PyPi](https://pypi.org/project/petl) (π₯ 13K / month Β· π¦ 110 Β· β±οΈ 06.10.2020):
+- [PyPi](https://pypi.org/project/petl) (π₯ 12K / month Β· π¦ 110 Β· β±οΈ 06.10.2020):
```
pip install petl
```
-- [Conda](https://anaconda.org/conda-forge/petl) (π₯ 19K Β· β±οΈ 29.12.2020):
+- [Conda](https://anaconda.org/conda-forge/petl) (π₯ 20K Β· β±οΈ 29.12.2020):
```
conda install -c conda-forge petl
```
@@ -5442,19 +5405,19 @@ _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₯ 27K / month Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/pyfunctional) (π₯ 26K / 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 380 Β· π 510 - 39% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 100 Β· π 380 Β· π 510 - 38% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 94K / month Β· π¦ 4 Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 79K / month Β· π¦ 4 Β· β±οΈ 03.02.2021):
```
pip install tfx
```
@@ -5466,67 +5429,67 @@ _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₯ 1.6K / month Β· π¦ 26 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/streamparse) (π₯ 1.5K / 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
+Great Expectations (π₯24 Β· β 3.6K) - Always know what to expect from your data. Apache-2
-- [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):
+- [GitHub](https://github.com/great-expectations/great_expectations) (π¨βπ» 150 Β· π 430 Β· π 750 - 20% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/great-expectations/great_expectations
```
-- [PyPi](https://pypi.org/project/great_expectations) (π₯ 290K / month Β· π¦ 6 Β· β±οΈ 28.01.2021):
+- [PyPi](https://pypi.org/project/great_expectations) (π₯ 250K / month Β· π¦ 6 Β· β±οΈ 28.01.2021):
```
pip install great_expectations
```
bonobo (π₯23 Β· β 1.4K) - Extract Transform Load for Python 3.5+. Apache-2
-- [GitHub](https://github.com/python-bonobo/bonobo) (π¨βπ» 36 Β· π 110 Β· π¦ 110 Β· π 170 - 36% open Β· β±οΈ 01.01.2021):
+- [GitHub](https://github.com/python-bonobo/bonobo) (π¨βπ» 36 Β· π 110 Β· π¦ 110 Β· π 170 - 37% open Β· β±οΈ 01.01.2021):
```
git clone https://github.com/python-bonobo/bonobo
```
-- [PyPi](https://pypi.org/project/bonobo) (π₯ 2.1K / month Β· π¦ 24 Β· β±οΈ 20.07.2019):
+- [PyPi](https://pypi.org/project/bonobo) (π₯ 2K / 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¦ 13 Β· π 300 - 45% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/ironmussa/Optimus) (π¨βπ» 21 Β· π 190 Β· π¦ 13 Β· π 300 - 45% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/ironmussa/Optimus
```
-- [PyPi](https://pypi.org/project/optimuspyspark) (π₯ 4K / month Β· β±οΈ 30.05.2019):
+- [PyPi](https://pypi.org/project/optimuspyspark) (π₯ 3.3K / month Β· β±οΈ 30.05.2019):
```
pip install optimuspyspark
```
Hub (π₯23 Β· β 790) - Fastest unstructured dataset management for TensorFlow/PyTorch... MPL-2.0
+Hub (π₯23 Β· β 860) - Fastest unstructured dataset management for TensorFlow/PyTorch... MPL-2.0
-- [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):
+- [GitHub](https://github.com/activeloopai/Hub) (π¨βπ» 54 Β· π 130 Β· π¦ 120 Β· π 190 - 41% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/activeloopai/Hub
```
-- [PyPi](https://pypi.org/project/hub) (π₯ 1K / month Β· π¦ 52 Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/hub) (π₯ 780 / month Β· π¦ 52 Β· β±οΈ 24.01.2021):
```
pip install hub
```
pysparkling (π₯23 Β· β 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT
-- [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):
+- [GitHub](https://github.com/svenkreiss/pysparkling) (π¨βπ» 10 Β· π 43 Β· π¦ 56 Β· π 24 - 12% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/svenkreiss/pysparkling
```
-- [PyPi](https://pypi.org/project/pysparkling) (π₯ 4.8K / month Β· π¦ 14 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/pysparkling) (π₯ 4.6K / month Β· π¦ 14 Β· β±οΈ 10.01.2021):
```
pip install pysparkling
```
@@ -5538,7 +5501,7 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/douban/dpark
```
-- [PyPi](https://pypi.org/project/dpark) (π₯ 25 / month Β· π¦ 1 Β· β±οΈ 27.07.2018):
+- [PyPi](https://pypi.org/project/dpark) (π₯ 27 / month Β· π¦ 1 Β· β±οΈ 27.07.2018):
```
pip install dpark
```
@@ -5550,11 +5513,23 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/cgarciae/pypeln
```
-- [PyPi](https://pypi.org/project/pypeln) (π₯ 2.6K / month Β· π¦ 5 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/pypeln) (π₯ 2.8K / month Β· π¦ 5 Β· β±οΈ 05.01.2021):
```
pip install pypeln
```
mrq (π₯20 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₯ 160 / month Β· π¦ 12 Β· β±οΈ 31.08.2018):
+ ```
+ pip install mrq
+ ```
+pdpipe (π₯20 Β· β 580) - Easy pipelines for pandas DataFrames. MIT
- [GitHub](https://github.com/pdpipe/pdpipe) (π¨βπ» 8 Β· π 29 Β· π¦ 23 Β· π 20 - 30% open Β· β±οΈ 19.01.2021):
@@ -5562,7 +5537,7 @@ _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₯ 680 / month Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/pdpipe) (π₯ 590 / month Β· β±οΈ 09.11.2020):
```
pip install pdpipe
```
@@ -5574,23 +5549,11 @@ _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₯ 280 / month Β· π¦ 9 Β· β±οΈ 18.06.2020):
+- [PyPi](https://pypi.org/project/tasktiger) (π₯ 230 / 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 100 - 74% open Β· β±οΈ 20.01.2021):
@@ -5599,26 +5562,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
git clone https://github.com/databricks/spark-deep-learning
```
riko (π₯18 Β· β 1.6K) - A Python stream processing engine modeled after Yahoo! Pipes. MIT
-
-- [GitHub](https://github.com/nerevu/riko) (π¨βπ» 18 Β· π 72 Β· π 30 - 73% open Β· β±οΈ 14.08.2020):
-
- ```
- git clone https://github.com/nerevu/riko
- ```
-- [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 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):
+- [GitHub](https://github.com/d6t/d6tflow) (π¨βπ» 10 Β· π 64 Β· π¦ 12 Β· π 17 - 35% open Β· β±οΈ 19.12.2020):
```
git clone https://github.com/d6t/d6tflow
```
-- [PyPi](https://pypi.org/project/d6tflow) (π₯ 110 / month Β· β±οΈ 19.12.2020):
+- [PyPi](https://pypi.org/project/d6tflow) (π₯ 82 / month Β· β±οΈ 19.12.2020):
```
pip install d6tflow
```
@@ -5630,7 +5581,7 @@ _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₯ 2.4K / month Β· β±οΈ 06.01.2021):
+- [PyPi](https://pypi.org/project/flupy) (π₯ 2.5K / month Β· β±οΈ 06.01.2021):
```
pip install flupy
```
@@ -5642,31 +5593,43 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
```
git clone https://github.com/mara/mara-pipelines
```
-- [PyPi](https://pypi.org/project/mara-pipelines) (π₯ 27 / month Β· β±οΈ 31.07.2020):
+- [PyPi](https://pypi.org/project/mara-pipelines) (π₯ 41 / month Β· β±οΈ 31.07.2020):
```
pip install mara-pipelines
```
riko (π₯17 Β· β 1.6K) - A Python stream processing engine modeled after Yahoo! Pipes. MIT
+
+- [GitHub](https://github.com/nerevu/riko) (π¨βπ» 18 Β· π 72 Β· π 30 - 73% open Β· β±οΈ 14.08.2020):
+
+ ```
+ git clone https://github.com/nerevu/riko
+ ```
+- [PyPi](https://pypi.org/project/riko) (π₯ 87 / month Β· π¦ 1 Β· β±οΈ 14.08.2020):
+ ```
+ pip install riko
+ ```
+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 34 Β· π 100 - 49% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/analysiscenter/batchflow) (π¨βπ» 28 Β· π 35 Β· π 100 - 49% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/analysiscenter/batchflow
```
-- [PyPi](https://pypi.org/project/batchflow) (π₯ 13 / month Β· β±οΈ 23.08.2019):
+- [PyPi](https://pypi.org/project/batchflow) (π₯ 11 / month Β· β±οΈ 23.08.2019):
```
pip install batchflow
```
zenml (π₯14 Β· β 470 Β· π£) - ZenML: Bring Zen to your ML with reproducible pipelines. Apache-2
+zenml (π₯14 Β· β 620 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 28 Β· π¦ 1 Β· π 4 - 25% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/maiot-io/zenml) (π¨βπ» 7 Β· π 31 Β· π¦ 1 Β· π 4 - 25% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/maiot-io/zenml
```
-- [PyPi](https://pypi.org/project/zenml) (π₯ 150 / month Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/zenml) (π₯ 130 / month Β· β±οΈ 22.01.2021):
```
pip install zenml
```
@@ -5684,14 +5647,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
-dask (π₯35 Β· β 7.8K) - Parallel computing with task scheduling. BSD-3
+dask (π₯35 Β· β 7.9K) - 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 27.01.2021):
+- [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 04.02.2021):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 1.1M / month Β· π¦ 3.9K Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/dask) (π₯ 1M / month Β· π¦ 3.9K Β· β±οΈ 22.01.2021):
```
pip install dask
```
@@ -5702,12 +5665,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
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 25.01.2021):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 230 Β· π 510 Β· π¦ 17K Β· π 2K - 36% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 700K / month Β· π¦ 1.8K Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 670K / month Β· π¦ 1.8K Β· β±οΈ 22.01.2021):
```
pip install distributed
```
@@ -5718,24 +5681,24 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
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 28.01.2021):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 430 Β· π 2.4K Β· π¦ 1.6K Β· π 5.9K - 21% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 150K / month Β· π¦ 160 Β· β±οΈ 24.12.2020):
+- [PyPi](https://pypi.org/project/ray) (π₯ 140K / month Β· π¦ 160 Β· β±οΈ 24.12.2020):
```
pip install ray
```
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¦ 320 Β· π 1.7K - 15% open Β· β±οΈ 26.01.2021):
+- [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 03.02.2021):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 92K / month Β· π¦ 40 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 73K / month Β· π¦ 40 Β· β±οΈ 07.01.2021):
```
pip install horovod
```
@@ -5747,7 +5710,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/ipython/ipyparallel
```
-- [PyPi](https://pypi.org/project/ipyparallel) (π₯ 49K / month Β· π¦ 490 Β· β±οΈ 05.05.2020):
+- [PyPi](https://pypi.org/project/ipyparallel) (π₯ 35K / month Β· π¦ 490 Β· β±οΈ 05.05.2020):
```
pip install ipyparallel
```
@@ -5756,42 +5719,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge ipyparallel
```
Mesh (π₯26 Β· β 720) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
+Mesh (π₯26 Β· β 750) - 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 22.01.2021):
+- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 38 Β· π 130 Β· π¦ 490 Β· π 84 - 85% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 83K / month Β· π¦ 28 Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 78K / 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 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₯ 18K / month Β· π¦ 42 Β· β±οΈ 24.09.2020):
- ```
- pip install dask-ml
- ```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 190K Β· β±οΈ 24.09.2020):
- ```
- conda install -c conda-forge dask-ml
- ```
-BigDL (π₯25 Β· β 3.7K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2
-- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 71 Β· π 900 Β· π¦ 22 Β· π 900 - 19% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 71 Β· π 900 Β· π¦ 22 Β· π 910 - 20% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 1.5K / month Β· π¦ 6 Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 1.8K / month Β· π¦ 6 Β· β±οΈ 29.12.2020):
```
pip install bigdl
```
@@ -5806,148 +5753,148 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (π₯25 Β· β 380) - Python bindings for MPI. BSD-3
-- [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):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 13 Β· π 61 Β· π₯ 820 Β· π 9 - 22% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 110K / month Β· π¦ 700 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 88K / month Β· π¦ 700 Β· β±οΈ 04.11.2019):
```
pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 510K Β· β±οΈ 19.01.2021):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 520K Β· β±οΈ 19.01.2021):
```
conda install -c conda-forge mpi4py
```
TensorFlowOnSpark (π₯24 Β· β 3.6K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
-- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 33 Β· π 930 Β· π 340 - 1% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 33 Β· π 930 Β· π 340 - 2% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/yahoo/TensorFlowOnSpark
```
-- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 57K / month Β· π¦ 5 Β· β±οΈ 18.12.2020):
+- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 39K / month Β· π¦ 5 Β· β±οΈ 18.12.2020):
```
pip install tensorflowonspark
```
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 - 16% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/maxpumperla/elephas) (π¨βπ» 27 Β· π 290 Β· π¦ 36 Β· π 140 - 16% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/maxpumperla/elephas
```
-- [PyPi](https://pypi.org/project/elephas) (π₯ 7.3K / month Β· π¦ 3 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/elephas) (π₯ 7.2K / month Β· π¦ 3 Β· β±οΈ 31.01.2021):
```
pip install elephas
```
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» 38 Β· π 180 Β· π₯ 290 Β· π¦ 25 Β· π 230 - 52% open Β· β±οΈ 23.01.2021):
+- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 38 Β· π 180 Β· π₯ 290 Β· π¦ 26 Β· π 230 - 51% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (π₯ 33K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/petastorm) (π₯ 37K / month Β· β±οΈ 15.12.2020):
```
pip install petastorm
```
dask-ml (π₯24 Β· β 680 Β· π) - Scalable Machine Learning with Dask. BSD-3
+
+- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 62 Β· π 190 Β· π¦ 340 Β· π 390 - 47% open Β· β±οΈ 02.02.2021):
+
+ ```
+ git clone https://github.com/dask/dask-ml
+ ```
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 15K / month Β· π¦ 42 Β· β±οΈ 30.01.2021):
+ ```
+ pip install dask-ml
+ ```
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 190K Β· β±οΈ 30.01.2021):
+ ```
+ conda install -c conda-forge dask-ml
+ ```
+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» 41 Β· π 380 Β· π¦ 9 Β· π 280 - 43% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 42 Β· π 390 Β· π¦ 9 Β· π 300 - 45% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 1.5K / month Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 1.8K / month Β· β±οΈ 02.02.2021):
```
pip install deepspeed
```
-- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 6.9K Β· β 2 Β· β±οΈ 20.11.2020):
+- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 7K 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 28.01.2021):
+- [GitHub](https://github.com/Azure/mmlspark) (π¨βπ» 62 Β· π 490 Β· π 410 - 48% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/Azure/mmlspark
```
-- [PyPi](https://pypi.org/project/mmlspark) (π₯ 32K / month Β· β±οΈ 18.03.2020):
+- [PyPi](https://pypi.org/project/mmlspark) (π₯ 35K / 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 950 - 44% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 82 Β· π 640 Β· π¦ 2 Β· π 960 - 45% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 570 / month Β· β±οΈ 20.01.2021):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 580 / month Β· β±οΈ 03.02.2021):
```
pip install analytics-zoo
```
FairScale (π₯20 Β· β 730 Β· π£) - PyTorch extensions for high performance and large scale.. BSD-3
+FairScale (π₯20 Β· β 750) - PyTorch extensions for high performance and large scale training. 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):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 20 Β· π 52 Β· π¦ 4 Β· π 93 - 32% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 1.9K / month Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 2.2K / month Β· β±οΈ 03.02.2021):
```
pip install fairscale
```
Submit it (π₯20 Β· β 300) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
+Submit it (π₯20 Β· β 310) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
-- [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):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 9 Β· π 19 Β· π¦ 82 Β· π 28 - 35% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 2K / month Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 1.8K / month Β· β±οΈ 29.01.2021):
```
pip install submitit
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 840 Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 980 Β· β±οΈ 29.01.2021):
```
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 - 34% open Β· β±οΈ 18.01.2021):
-
- ```
- git clone https://github.com/bytedance/byteps
- ```
-- [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₯ 990 Β· β±οΈ 03.03.2020):
- ```
- docker pull bytepsimage/tensorflow
- ```
-Apache Singa (π₯19 Β· β 2.2K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 70 Β· π 570 Β· π 81 - 60% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 70 Β· π 610 Β· π 72 - 55% open Β· β±οΈ 15.01.2021):
```
git clone https://github.com/apache/singa
```
-- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 250 Β· β±οΈ 20.01.2021):
+- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 260 Β· β±οΈ 20.01.2021):
```
conda install -c nusdbsystem singa
```
@@ -5956,38 +5903,54 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
docker pull apache/singa
```
sk-dist (π₯18 Β· β 250) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
+BytePS (π₯18 Β· β 2.7K) - A high performance and generic framework for distributed DNN training. 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):
+- [GitHub](https://github.com/bytedance/byteps) (π¨βπ» 17 Β· π 360 Β· π 210 - 34% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/Ibotta/sk-dist
+ git clone https://github.com/bytedance/byteps
```
-- [PyPi](https://pypi.org/project/sk-dist) (π₯ 3.4K / month Β· π¦ 2 Β· β±οΈ 14.05.2020):
+- [PyPi](https://pypi.org/project/byteps) (π₯ 72 / month Β· β±οΈ 04.11.2020):
+ ```
+ pip install byteps
+ ```
+- [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (π₯ 1K Β· β±οΈ 03.03.2020):
+ ```
+ docker pull bytepsimage/tensorflow
+ ```
+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 43 Β· π¦ 6 Β· π 16 - 43% open Β· β±οΈ 07.01.2021):
+
+ ```
+ git clone https://github.com/Ibotta/sk-dist
+ ```
+- [PyPi](https://pypi.org/project/sk-dist) (π₯ 3.7K / 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¦ 18 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¦ 19 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₯ 770 / month Β· π¦ 1 Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/fiber) (π₯ 710 / 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
+somoclu (π₯17 Β· β 220 Β· π€) - Massively parallel self-organizing maps: accelerate training on.. MIT
- [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₯ 670 / month Β· π¦ 2 Β· β±οΈ 25.04.2020):
+- [PyPi](https://pypi.org/project/somoclu) (π₯ 410 / month Β· π¦ 2 Β· β±οΈ 25.04.2020):
```
pip install somoclu
```
@@ -5996,14 +5959,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge somoclu
```
Hivemind (π₯16 Β· β 640) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
+Hivemind (π₯15 Β· β 650) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- [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):
+- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 7 Β· π 31 Β· π¦ 1 Β· π 32 - 46% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 11 / month Β· π¦ 1 Β· β±οΈ 28.08.2020):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 10 / month Β· π¦ 1 Β· β±οΈ 28.08.2020):
```
pip install hivemind
```
@@ -6011,7 +5974,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 3 hidden projects...
- 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 Apache-2
@@ -6024,16 +5987,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
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¦ 910 Β· π 660 - 28% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 120 Β· π 450 Β· π¦ 930 Β· π 690 - 30% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 140K / month Β· π¦ 52 Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 130K / month Β· π¦ 52 Β· β±οΈ 01.02.2021):
```
pip install optuna
```
-- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 17K Β· β±οΈ 13.01.2021):
+- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 18K Β· β±οΈ 02.02.2021):
```
conda install -c conda-forge optuna
```
@@ -6045,11 +6008,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/hyperopt/hyperopt
```
-- [PyPi](https://pypi.org/project/hyperopt) (π₯ 340K / month Β· π¦ 500 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/hyperopt) (π₯ 310K / month Β· π¦ 500 Β· β±οΈ 07.10.2020):
```
pip install hyperopt
```
-- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 160K Β· β±οΈ 14.10.2020):
+- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 170K Β· β±οΈ 14.10.2020):
```
conda install -c conda-forge hyperopt
```
@@ -6061,30 +6024,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/scikit-optimize/scikit-optimize
```
-- [PyPi](https://pypi.org/project/scikit-optimize) (π₯ 370K / month Β· π¦ 160 Β· β±οΈ 04.09.2020):
+- [PyPi](https://pypi.org/project/scikit-optimize) (π₯ 300K / month Β· π¦ 160 Β· β±οΈ 04.09.2020):
```
pip install scikit-optimize
```
-- [Conda](https://anaconda.org/conda-forge/scikit-optimize) (π₯ 190K Β· β±οΈ 04.09.2020):
+- [Conda](https://anaconda.org/conda-forge/scikit-optimize) (π₯ 200K Β· β±οΈ 04.09.2020):
```
conda install -c conda-forge scikit-optimize
```
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¦ 380 Β· π 280 - 51% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 28 Β· π 260 Β· π¦ 390 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₯ 180K / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 160K / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
```
pip install keras-tuner
```
NNI (π₯27 Β· β 8.9K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
+NNI (π₯27 Β· β 9K) - An open source AutoML toolkit for automate machine learning lifecycle, including.. MIT
-- [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):
+- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 120 Β· π 1.2K Β· π¦ 85 Β· π 1.1K - 22% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/microsoft/nni
@@ -6096,78 +6059,78 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
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 22.01.2021):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 130 Β· π 1.3K Β· π¦ 140 Β· π 720 - 7% open Β· β±οΈ 22.01.2021):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 4K / month Β· π¦ 7 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 3.2K / month Β· π¦ 7 Β· β±οΈ 30.11.2020):
```
pip install autokeras
```
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 700 Β· π¦ 660 Β· π 500 - 22% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 49 Β· π 700 Β· π¦ 670 Β· π 510 - 21% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 51K / month Β· π¦ 70 Β· β±οΈ 31.12.2020):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 44K / month Β· π¦ 70 Β· β±οΈ 29.01.2021):
```
pip install featuretools
```
-- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 44K Β· β±οΈ 05.01.2021):
+- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 44K Β· β±οΈ 01.02.2021):
```
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 26.01.2021):
+- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 63 Β· π 980 Β· π¦ 130 Β· π 690 - 19% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/automl/auto-sklearn
```
-- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 3.7K / month Β· π¦ 30 Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 3.5K / 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₯ 47 Β· π¦ 580 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¦ 600 Β· π 200 - 18% open Β· β±οΈ 19.12.2020):
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 42K / month Β· π¦ 92 Β· β±οΈ 16.05.2020):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 39K / 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
+BoTorch (π₯26 Β· β 1.8K) - Bayesian optimization in PyTorch. MIT
-- [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):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 50 Β· π 180 Β· π¦ 78 Β· π 150 - 26% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/awslabs/autogluon
+ git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 12K / month Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 21K / month Β· β±οΈ 08.12.2020):
```
- pip install autogluon
+ pip install botorch
```
BoTorch (π₯26 Β· β 1.8K) - Bayesian optimization in PyTorch. MIT
+AutoGluon (π₯25 Β· β 3K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2
-- [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):
+- [GitHub](https://github.com/awslabs/autogluon) (π¨βπ» 50 Β· π 380 Β· π¦ 46 Β· π 380 - 38% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/pytorch/botorch
+ git clone https://github.com/awslabs/autogluon
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 22K / month Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 5.9K / month Β· β±οΈ 04.02.2021):
```
- pip install botorch
+ pip install autogluon
```
nevergrad (π₯25 Β· β 2.8K) - A Python toolbox for performing gradient-free optimization. MIT
@@ -6177,18 +6140,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 7K / month Β· π¦ 14 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 7.3K / month Β· π¦ 14 Β· β±οΈ 28.01.2021):
```
pip install nevergrad
```
-- [Conda](https://anaconda.org/conda-forge/nevergrad) (π₯ 5.7K Β· β±οΈ 14.12.2020):
+- [Conda](https://anaconda.org/conda-forge/nevergrad) (π₯ 5.9K Β· β±οΈ 14.12.2020):
```
conda install -c conda-forge nevergrad
```
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 27.01.2021):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 91 Β· π 140 Β· π¦ 130 Β· π 210 - 16% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/facebook/Ax
@@ -6205,7 +6168,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
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):
+- [PyPi](https://pypi.org/project/smac) (π₯ 5.7K / month Β· π¦ 58 Β· β±οΈ 29.10.2020):
```
pip install smac
```
@@ -6217,38 +6180,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/maxpumperla/hyperas
```
-- [PyPi](https://pypi.org/project/hyperas) (π₯ 11K / month Β· π¦ 21 Β· β±οΈ 28.02.2019):
+- [PyPi](https://pypi.org/project/hyperas) (π₯ 9.6K / month Β· π¦ 21 Β· β±οΈ 28.02.2019):
```
pip install hyperas
```
GPyOpt (π₯24 Β· β 710) - Gaussian Process Optimization using GPy. BSD-3
+GPyOpt (π₯23 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₯ 4.3K / month Β· π¦ 36 Β· β±οΈ 19.03.2020):
+- [PyPi](https://pypi.org/project/gpyopt) (π₯ 4K / 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
-
-- [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₯ 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
-- [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):
+- [GitHub](https://github.com/Epistimio/orion) (π¨βπ» 18 Β· π 35 Β· π¦ 39 Β· π 120 - 16% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/Epistimio/orion
@@ -6258,28 +6209,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install orion
```
AdaNet (π₯21 Β· β 3.2K) - Fast and flexible AutoML with learning guarantees. Apache-2
+AdaNet (π₯21 Β· β 3.2K Β· π€) - Fast and flexible AutoML with learning guarantees. Apache-2
-- [GitHub](https://github.com/tensorflow/adanet) (π¨βπ» 26 Β· π 500 Β· π¦ 33 Β· π 110 - 57% open Β· β±οΈ 09.07.2020):
+- [GitHub](https://github.com/tensorflow/adanet) (π¨βπ» 26 Β· π 500 Β· π¦ 34 Β· π 110 - 57% open Β· β±οΈ 09.07.2020):
```
git clone https://github.com/tensorflow/adanet
```
-- [PyPi](https://pypi.org/project/adanet) (π₯ 510 / month Β· π¦ 2 Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/adanet) (π₯ 440 / month Β· π¦ 2 Β· β±οΈ 09.07.2020):
```
pip install adanet
```
optunity (π₯21 Β· β 360 Β· π€) - optimization routines for hyperparameter tuning. BSD-3
+Talos (π₯21 Β· β 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
-- [GitHub](https://github.com/claesenm/optunity) (π¨βπ» 9 Β· π 73 Β· π₯ 62 Β· π¦ 58 Β· π 93 - 48% open Β· β±οΈ 11.05.2020):
+- [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/claesenm/optunity
+ git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/optunity) (π₯ 8.6K / month Β· π¦ 7 Β· β±οΈ 30.09.2015):
+- [PyPi](https://pypi.org/project/talos) (π₯ 930 / month Β· π¦ 6 Β· β±οΈ 09.11.2020):
```
- pip install optunity
+ pip install talos
```
Neuraxle (π₯21 Β· β 360) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2
@@ -6289,19 +6240,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/Neuraxio/Neuraxle
```
-- [PyPi](https://pypi.org/project/neuraxle) (π₯ 270 / month Β· β±οΈ 20.09.2020):
+- [PyPi](https://pypi.org/project/neuraxle) (π₯ 230 / month Β· β±οΈ 20.09.2020):
```
pip install neuraxle
```
mljar-supervised (π₯20 Β· β 750) - Automates Machine Learning Pipeline with Feature Engineering.. MIT
+mljar-supervised (π₯20 Β· β 760) - 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 27.01.2021):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 7 Β· π 98 Β· π¦ 9 Β· π 280 - 17% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 3.2K / month Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 1.4K / month Β· β±οΈ 30.01.2021):
```
pip install mljar-supervised
```
@@ -6313,11 +6264,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/williamFalcon/test-tube
```
-- [PyPi](https://pypi.org/project/test_tube) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 12.12.2018):
+- [PyPi](https://pypi.org/project/test_tube) (π₯ 10K / month Β· π¦ 5 Β· β±οΈ 12.12.2018):
```
pip install test_tube
```
optunity (π₯20 Β· β 360 Β· π€) - optimization routines for hyperparameter tuning. BSD-3
+
+- [GitHub](https://github.com/claesenm/optunity) (π¨βπ» 9 Β· π 73 Β· π₯ 62 Β· π¦ 58 Β· π 93 - 48% open Β· β±οΈ 11.05.2020):
+
+ ```
+ git clone https://github.com/claesenm/optunity
+ ```
+- [PyPi](https://pypi.org/project/optunity) (π₯ 6.9K / month Β· π¦ 7 Β· β±οΈ 30.09.2015):
+ ```
+ pip install optunity
+ ```
+Auto ViML (π₯20 Β· β 200) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 6 Β· π 52 Β· π¦ 13 Β· π 16 - 18% open Β· β±οΈ 15.01.2021):
@@ -6325,69 +6288,69 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 200 / month Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 170 / month Β· β±οΈ 15.01.2021):
```
pip install autoviml
```
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» 10 Β· π 82 Β· π¦ 18 Β· π 66 - 63% open Β· β±οΈ 23.01.2021):
+- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 10 Β· π 84 Β· π¦ 20 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₯ 1.5K / month Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 1.9K / month Β· β±οΈ 09.07.2020):
```
pip install lazypredict
```
Dragonfly (π₯17 Β· β 560) - An open source python library for scalable Bayesian optimisation. MIT
+Dragonfly (π₯17 Β· β 560 Β· π€) - An open source python library for scalable Bayesian optimisation. MIT
- [GitHub](https://github.com/dragonfly/dragonfly) (π¨βπ» 12 Β· π 72 Β· π 38 - 55% open Β· β±οΈ 03.07.2020):
```
git clone https://github.com/dragonfly/dragonfly
```
-- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 2.9K / month Β· π¦ 2 Β· β±οΈ 03.07.2020):
+- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 3.5K / month Β· π¦ 2 Β· β±οΈ 03.07.2020):
```
pip install dragonfly-opt
```
HyperparameterHunter (π₯16 Β· β 640) - Easy hyperparameter optimization and automatic result.. MIT
-- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (π¨βπ» 4 Β· π 80 Β· π₯ 270 Β· π 120 - 30% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (π¨βπ» 4 Β· π 81 Β· π₯ 270 Β· π 120 - 30% open Β· β±οΈ 20.01.2021):
```
git clone https://github.com/HunterMcGushion/hyperparameter_hunter
```
-- [PyPi](https://pypi.org/project/hyperparameter-hunter) (π₯ 43 / month Β· π¦ 1 Β· β±οΈ 06.08.2019):
+- [PyPi](https://pypi.org/project/hyperparameter-hunter) (π₯ 40 / 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
+Auto Tune Models (π₯16 Β· β 500 Β· π€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
-- [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):
+- [GitHub](https://github.com/HDI-Project/ATM) (π¨βπ» 16 Β· π 120 Β· π¦ 6 Β· π 88 - 19% open Β· β±οΈ 21.02.2020):
```
- git clone https://github.com/ScottfreeLLC/AlphaPy
+ git clone https://github.com/HDI-Project/ATM
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 76 / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/atm) (π₯ 35 / month Β· β±οΈ 24.06.2019):
```
- pip install alphapy
+ pip install atm
```
Auto Tune Models (π₯16 Β· β 500 Β· π€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
+AlphaPy (π₯15 Β· β 540) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
-- [GitHub](https://github.com/HDI-Project/ATM) (π¨βπ» 16 Β· π 120 Β· π¦ 6 Β· π 88 - 19% open Β· β±οΈ 21.02.2020):
+- [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/HDI-Project/ATM
+ git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/atm) (π₯ 34 / month Β· β±οΈ 24.06.2019):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 72 / month Β· β±οΈ 25.08.2020):
```
- pip install atm
+ pip install alphapy
```
Parfit (π₯15 Β· β 200 Β· π€) - A package for parallelizing the fit and flexibly scoring of.. MIT
@@ -6397,7 +6360,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/jmcarpenter2/parfit
```
-- [PyPi](https://pypi.org/project/parfit) (π₯ 3.9K / month Β· β±οΈ 11.10.2018):
+- [PyPi](https://pypi.org/project/parfit) (π₯ 4.2K / month Β· β±οΈ 11.10.2018):
```
pip install parfit
```
@@ -6410,7 +6373,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
git clone https://github.com/carpedm20/ENAS-pytorch
```
Devol (π₯11 Β· β 920) - Genetic neural architecture search with Keras. MIT
+Devol (π₯11 Β· β 920 Β· π€) - Genetic neural architecture search with Keras. MIT
- [GitHub](https://github.com/joeddav/devol) (π¨βπ» 18 Β· π 110 Β· π 27 - 25% open Β· β±οΈ 05.07.2020):
@@ -6421,18 +6384,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Show 13 hidden projects...
- 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
+- MLBox (π₯20 Β· β 1.2K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
+- HpBandSter (π₯20 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
- 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 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
+- Hypermax (π₯13 Β· β 94) - Better, faster hyper-parameter optimization. BSD-3
+- featurewiz (π₯12 Β· β 21 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
@@ -6444,48 +6407,36 @@ _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¦ 18K Β· π 1.3K - 18% open Β· β±οΈ 11.01.2021):
+- [GitHub](https://github.com/openai/gym) (π¨βπ» 270 Β· π 6.7K Β· π¦ 18K Β· π 1.3K - 19% open Β· β±οΈ 11.01.2021):
```
git clone https://github.com/openai/gym
```
-- [PyPi](https://pypi.org/project/gym) (π₯ 260K / month Β· π¦ 3.6K Β· β±οΈ 19.12.2020):
+- [PyPi](https://pypi.org/project/gym) (π₯ 240K / month Β· π¦ 3.6K Β· β±οΈ 19.12.2020):
```
pip install gym
```
baselines (π₯28 Β· β 11K Β· π€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
-
-- [GitHub](https://github.com/openai/baselines) (π¨βπ» 110 Β· π 3.8K Β· π¦ 280 Β· π 880 - 51% open Β· β±οΈ 31.01.2020):
-
- ```
- git clone https://github.com/openai/baselines
- ```
-- [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 28.01.2021):
+- [GitHub](https://github.com/tensorlayer/tensorlayer) (π¨βπ» 130 Β· π 1.5K Β· π₯ 1.2K Β· π 450 - 3% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/tensorlayer/tensorlayer
```
-- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.7K / month Β· π¦ 68 Β· β±οΈ 19.06.2020):
+- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.4K / 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» 85 Β· π 450 Β· π¦ 360 Β· π 410 - 23% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 85 Β· π 460 Β· π¦ 370 Β· π 420 - 24% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 7.1K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 6.1K / month Β· π¦ 12 Β· β±οΈ 05.01.2021):
```
pip install tf-agents
```
@@ -6497,21 +6448,21 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/google/dopamine
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 47K / month Β· π¦ 31 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 43K / month Β· π¦ 31 Β· β±οΈ 16.10.2020):
```
pip install dopamine-rl
```
Stable Baselines (π₯25 Β· β 2.8K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
+TensorForce (π₯25 Β· β 2.9K) - Tensorforce: a TensorFlow library for applied.. Apache-2
-- [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):
+- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 76 Β· π 490 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₯ 6.2K / month Β· π¦ 50 Β· β±οΈ 05.08.2020):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 530 / month Β· π¦ 46 Β· β±οΈ 07.09.2019):
```
- pip install stable-baselines
+ pip install tensorforce
```
ViZDoom (π₯25 Β· β 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT
@@ -6521,79 +6472,79 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 320 / month Β· π¦ 12 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 270 / month Β· π¦ 12 Β· β±οΈ 29.10.2020):
```
pip install vizdoom
```
TensorForce (π₯24 Β· β 2.8K) - Tensorforce: a TensorFlow library for applied.. Apache-2
+Stable Baselines (π₯24 Β· β 2.9K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
-- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 76 Β· π 470 Β· π 550 - 1% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/hill-a/stable-baselines) (π¨βπ» 110 Β· π 570 Β· π 860 - 15% open Β· β±οΈ 23.12.2020):
```
- git clone https://github.com/tensorforce/tensorforce
+ git clone https://github.com/hill-a/stable-baselines
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 660 / month Β· π¦ 23 Β· β±οΈ 07.09.2019):
+- [PyPi](https://pypi.org/project/stable-baselines) (π₯ 5.7K / month Β· π¦ 50 Β· β±οΈ 05.08.2020):
```
- pip install tensorforce
+ pip install stable-baselines
```
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» 30 Β· π 180 Β· π¦ 19 Β· π 81 - 45% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/deepmind/acme) (π¨βπ» 32 Β· π 180 Β· π¦ 19 Β· π 81 - 45% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 470 / month Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 410 / month Β· β±οΈ 24.07.2020):
```
pip install dm-acme
```
ChainerRL (π₯23 Β· β 920) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
-- [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):
+- [GitHub](https://github.com/chainer/chainerrl) (π¨βπ» 29 Β· π 200 Β· π¦ 89 Β· π 220 - 33% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/chainer/chainerrl
```
-- [PyPi](https://pypi.org/project/chainerrl) (π₯ 420 / month Β· π¦ 14 Β· β±οΈ 14.02.2020):
+- [PyPi](https://pypi.org/project/chainerrl) (π₯ 390 / month Β· π¦ 14 Β· β±οΈ 14.02.2020):
```
pip install chainerrl
```
garage (π₯22 Β· β 1K) - A toolkit for reproducible reinforcement learning research. MIT
+garage (π₯22 Β· β 1.1K) - A toolkit for reproducible reinforcement learning research. MIT
-- [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):
+- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 73 Β· π 190 Β· π¦ 13 Β· π 960 - 19% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/rlworkgroup/garage
```
-- [PyPi](https://pypi.org/project/garage) (π₯ 150 / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/garage) (π₯ 130 / month Β· β±οΈ 02.10.2020):
```
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 420 Β· π¦ 65 Β· π 200 - 26% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 21 Β· π 420 Β· π¦ 67 Β· π 200 - 25% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 230 / month Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/parl) (π₯ 170 / month Β· β±οΈ 08.01.2021):
```
pip install parl
```
TRFL (π₯20 Β· β 3.1K Β· π€) - TensorFlow Reinforcement Learning. Apache-2
+TRFL (π₯19 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¦ 37 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¦ 38 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₯ 600 / month Β· π¦ 2 Β· β±οΈ 20.04.2020):
+- [PyPi](https://pypi.org/project/trfl) (π₯ 460 / month Β· π¦ 2 Β· β±οΈ 20.04.2020):
```
pip install trfl
```
@@ -6605,26 +6556,26 @@ _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₯ 110 / month Β· π¦ 1 Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/rl_coach) (π₯ 92 / 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» 11 Β· π 61 Β· π¦ 4 Β· π 44 - 50% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 11 Β· π 61 Β· π¦ 4 Β· π 45 - 48% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 340 / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 300 / 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
+RLax (π₯17 Β· β 550) - 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¦ 11 Β· π 6 - 50% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/deepmind/rlax) (π¨βπ» 10 Β· π 42 Β· π¦ 11 Β· π 6 - 50% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/deepmind/rlax
@@ -6636,15 +6587,16 @@ _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 28.01.2021):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 86 Β· π 380 Β· π 94 - 21% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/facebookresearch/ReAgent
```
Show 2 hidden projects...
+Show 3 hidden projects...
-- keras-rl (π₯25 Β· β 4.9K Β· π) - Deep Reinforcement Learning for Keras. MIT MIT
+- keras-rl (π₯24 Β· β 4.9K Β· π) - Deep Reinforcement Learning for Keras. MIT βοΈGPL-2.0
@@ -6662,39 +6614,39 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 77K / month Β· π¦ 22 Β· β±οΈ 15.09.2020):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 62K / month Β· π¦ 22 Β· β±οΈ 15.09.2020):
```
pip install implicit
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 180K Β· β±οΈ 24.11.2020):
+- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 190K Β· β±οΈ 24.11.2020):
```
conda install -c conda-forge implicit
```
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 460 - 27% open Β· β±οΈ 27.11.2020):
+- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 42 Β· π 560 Β· π¦ 390 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₯ 72K / month Β· π¦ 28 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/lightfm) (π₯ 61K / month Β· π¦ 28 Β· β±οΈ 27.11.2020):
```
pip install lightfm
```
-- [Conda](https://anaconda.org/conda-forge/lightfm) (π₯ 73K Β· β±οΈ 07.12.2020):
+- [Conda](https://anaconda.org/conda-forge/lightfm) (π₯ 74K Β· β±οΈ 07.12.2020):
```
conda install -c conda-forge lightfm
```
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¦ 880 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¦ 890 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₯ 31K / month Β· π¦ 24 Β· β±οΈ 19.07.2020):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 25K / month Β· π¦ 24 Β· β±οΈ 19.07.2020):
```
pip install scikit-surprise
```
@@ -6705,35 +6657,35 @@ _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 - 9% open Β· β±οΈ 19.08.2020):
+- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 20 Β· π 360 Β· π 220 - 11% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 12K / month Β· π¦ 1 Β· β±οΈ 30.01.2021):
```
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 27.01.2021):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 11 Β· π 55 Β· π¦ 26 Β· π 31 - 3% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 740 / month Β· π¦ 1 Β· β±οΈ 28.12.2020):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 780 / month Β· π¦ 1 Β· β±οΈ 29.01.2021):
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 99K Β· β±οΈ 04.01.2021):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 100K Β· β±οΈ 29.01.2021):
```
conda install -c conda-forge cornac
```
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 - 19% open Β· β±οΈ 04.01.2021):
+- [GitHub](https://github.com/microsoft/recommenders) (π¨βπ» 90 Β· π 1.6K Β· π¦ 1 Β· π 540 - 19% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/microsoft/recommenders
@@ -6746,95 +6698,95 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/jfkirk/tensorrec
```
-- [PyPi](https://pypi.org/project/tensorrec) (π₯ 800 / month Β· π¦ 1 Β· β±οΈ 02.04.2019):
+- [PyPi](https://pypi.org/project/tensorrec) (π₯ 780 / month Β· π¦ 1 Β· β±οΈ 02.04.2019):
```
pip install tensorrec
```
fastFM (π₯20 Β· β 890 Β· π€) - fastFM: A Library for Factorization Machines. BSD-3
-- [GitHub](https://github.com/ibayer/fastFM) (π¨βπ» 19 Β· π 190 Β· π₯ 370 Β· π¦ 73 Β· π 100 - 42% open Β· β±οΈ 05.03.2020):
+- [GitHub](https://github.com/ibayer/fastFM) (π¨βπ» 19 Β· π 190 Β· π₯ 370 Β· π¦ 74 Β· π 100 - 42% open Β· β±οΈ 05.03.2020):
```
git clone https://github.com/ibayer/fastFM
```
-- [PyPi](https://pypi.org/project/fastfm) (π₯ 360 / month Β· π¦ 4 Β· β±οΈ 23.11.2017):
+- [PyPi](https://pypi.org/project/fastfm) (π₯ 300 / 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
+RecBole (π₯20 Β· β 740) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 27 Β· π 100 Β· π 79 - 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 30.01.2021):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 98 / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 95 / month Β· β±οΈ 14.01.2021):
```
pip install recbole
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 190 Β· β±οΈ 14.01.2021):
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 200 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
+TF Recommenders (π₯19 Β· β 710) - 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 84 - 40% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 17 Β· π 73 Β· π¦ 11 Β· π 86 - 40% open Β· β±οΈ 01.02.2021):
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 2.7K / month Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 1.8K / 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 52 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 53 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₯ 790 / month Β· β±οΈ 10.02.2019):
+- [PyPi](https://pypi.org/project/recmetrics) (π₯ 780 / month Β· β±οΈ 10.02.2019):
```
pip install recmetrics
```
Spotlight (π₯18 Β· β 2.4K Β· π€) - Deep recommender models using PyTorch. MIT
+Spotlight (π₯17 Β· β 2.4K Β· π€) - Deep recommender models using PyTorch. MIT
-- [GitHub](https://github.com/maciejkula/spotlight) (π¨βπ» 11 Β· π 370 Β· π 110 - 57% open Β· β±οΈ 09.02.2020):
+- [GitHub](https://github.com/maciejkula/spotlight) (π¨βπ» 11 Β· π 370 Β· π 120 - 58% open Β· β±οΈ 09.02.2020):
```
git clone https://github.com/maciejkula/spotlight
```
-- [Conda](https://anaconda.org/maciejkula/spotlight) (π₯ 5.9K Β· β±οΈ 27.05.2018):
+- [Conda](https://anaconda.org/maciejkula/spotlight) (π₯ 6K Β· β±οΈ 27.05.2018):
```
conda install -c maciejkula spotlight
```
Case Recommender (π₯16 Β· β 310 Β· π€) - Case Recommender: A Flexible and Extensible Python.. MIT
+Case Recommender (π₯16 Β· β 320 Β· π€) - Case Recommender: A Flexible and Extensible Python.. MIT
- [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/caserec/CaseRecommender
```
-- [PyPi](https://pypi.org/project/caserecommender) (π₯ 67 / month Β· β±οΈ 20.08.2019):
+- [PyPi](https://pypi.org/project/caserecommender) (π₯ 70 / month Β· β±οΈ 20.08.2019):
```
pip install caserecommender
```
OpenRec (π₯15 Β· β 350 Β· π€) - OpenRec is an open-source and modular library for neural network-.. Apache-2
+OpenRec (π₯14 Β· β 350 Β· π€) - OpenRec is an open-source and modular library for neural network-.. Apache-2
- [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/ylongqi/openrec
```
-- [PyPi](https://pypi.org/project/openrec) (π₯ 13 / month Β· π¦ 1 Β· β±οΈ 11.09.2019):
+- [PyPi](https://pypi.org/project/openrec) (π₯ 16 / month Β· π¦ 1 Β· β±οΈ 11.09.2019):
```
pip install openrec
```
@@ -6849,68 +6801,68 @@ _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 24.01.2021):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 340 Β· π 1.5K Β· π 2.7K - 7% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 14.09.2020):
+- [PyPi](https://pypi.org/project/syft) (π₯ 1.2K / month Β· π¦ 3 Β· β±οΈ 14.09.2020):
```
pip install syft
```
Opacus (π₯22 Β· β 730) - Training PyTorch models with differential privacy. Apache-2
-- [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):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 24 Β· π 91 Β· π₯ 30 Β· π¦ 12 Β· π 59 - 11% open Β· β±οΈ 27.01.2021):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 1.5K / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 1.7K / 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 - 35% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 35 Β· π 270 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₯ 3.9K / month Β· π¦ 1 Β· β±οΈ 03.09.2020):
+- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 3.6K / month Β· π¦ 1 Β· β±οΈ 03.09.2020):
```
pip install tensorflow-privacy
```
TFEncrypted (π₯21 Β· β 820) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
+FATE (π₯20 Β· β 2.7K) - An Industrial Grade Federated Learning Framework. 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):
+- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 50 Β· π 800 Β· π 800 - 34% open Β· β±οΈ 17.01.2021):
```
- git clone https://github.com/tf-encrypted/tf-encrypted
- ```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 340 / month Β· π¦ 8 Β· β±οΈ 21.10.2019):
- ```
- pip install tf-encrypted
+ git clone https://github.com/FederatedAI/FATE
```
FATE (π₯20 Β· β 2.7K) - An Industrial Grade Federated Learning Framework. Apache-2
+TFEncrypted (π₯20 Β· β 820) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
-- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 50 Β· π 800 Β· π 800 - 34% open Β· β±οΈ 17.01.2021):
+- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 28 Β· π 140 Β· π¦ 46 Β· π 400 - 41% open Β· β±οΈ 19.08.2020):
```
- git clone https://github.com/FederatedAI/FATE
+ git clone https://github.com/tf-encrypted/tf-encrypted
+ ```
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 250 / month Β· π¦ 8 Β· β±οΈ 21.10.2019):
+ ```
+ pip install tf-encrypted
```
CrypTen (π₯16 Β· β 700) - A framework for Privacy Preserving Machine Learning. MIT
+CrypTen (π₯16 Β· β 710) - 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):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 23 Β· π 91 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₯ 64 / month Β· β±οΈ 05.02.2020):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 79 / month Β· β±οΈ 05.02.2020):
```
pip install crypten
```
@@ -6925,12 +6877,12 @@ _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¦ 53K Β· π 1.5K - 37% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 250 Β· π 1.4K Β· π¦ 53K Β· π 1.5K - 36% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 4.2M / month Β· π¦ 3.6K Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 3.7M / month Β· π¦ 3.6K Β· β±οΈ 12.11.2020):
```
pip install tensorboard
```
@@ -6941,79 +6893,63 @@ _Libraries to organize, track, and visualize machine learning experiments._
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¦ 1.9K Β· π 1.7K - 39% open Β· β±οΈ 27.01.2021):
+- [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 04.02.2021):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 2.1M / month Β· π¦ 150 Β· β±οΈ 31.12.2020):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 1.8M / month Β· π¦ 150 Β· β±οΈ 31.12.2020):
```
pip install mlflow
```
-- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 200K Β· β±οΈ 11.01.2021):
+- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 210K Β· β±οΈ 28.01.2021):
```
conda install -c conda-forge mlflow
```
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 680 Β· π₯ 18K Β· π¦ 550 Β· π 2.7K - 18% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 210 Β· π 690 Β· π₯ 19K Β· π¦ 560 Β· π 2.7K - 18% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 45K / month Β· π¦ 46 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 44K / month Β· π¦ 46 Β· β±οΈ 02.02.2021):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 450K Β· β±οΈ 26.01.2021):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 450K Β· β±οΈ 02.02.2021):
```
conda install -c conda-forge dvc
```
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 190 Β· π¦ 1.9K Β· π 900 - 26% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/wandb/client) (π¨βπ» 74 Β· π 190 Β· π¦ 2K Β· π 900 - 26% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 180K / month Β· π¦ 78 Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 180K / month Β· π¦ 78 Β· β±οΈ 02.02.2021):
```
pip install wandb
```
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¦ 580 Β· π 720 - 28% open Β· β±οΈ 23.01.2021):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 160 Β· π 560 Β· π¦ 580 Β· π 740 - 29% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 330K / month Β· π¦ 28 Β· β±οΈ 23.01.2021):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 280K / month Β· π¦ 28 Β· β±οΈ 03.02.2021):
```
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¦ 4.4K 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₯ 110K / month Β· π¦ 560 Β· β±οΈ 30.11.2020):
- ```
- pip install kaggle
- ```
-- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 40K Β· β±οΈ 21.01.2021):
- ```
- conda install -c conda-forge kaggle
- ```
-sacred (π₯29 Β· β 3.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
-- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 91 Β· π 310 Β· π¦ 780 Β· π 490 - 18% open Β· β±οΈ 12.01.2021):
+- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 91 Β· π 310 Β· π¦ 800 Β· π 490 - 18% open Β· β±οΈ 12.01.2021):
```
git clone https://github.com/IDSIA/sacred
@@ -7023,14 +6959,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
pip install sacred
```
snakemake (π₯29 Β· β 830) - This is the development home of the workflow management system.. MIT
+snakemake (π₯29 Β· β 840) - This is the development home of the workflow management system.. MIT
-- [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):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 200 Β· π 190 Β· π¦ 740 Β· π 530 - 60% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 7.6K / month Β· π¦ 290 Β· β±οΈ 15.01.2021):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 6.2K / month Β· π¦ 290 Β· β±οΈ 15.01.2021):
```
pip install snakemake
```
@@ -7039,38 +6975,54 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c bioconda snakemake
```
kaggle (π₯28 Β· β 3.8K) - Official Kaggle API. Apache-2
+
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 35 Β· π 780 Β· π¦ 4.4K Β· π 280 - 60% open Β· β±οΈ 30.11.2020):
+
+ ```
+ git clone https://github.com/Kaggle/kaggle-api
+ ```
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 54K / month Β· π¦ 560 Β· β±οΈ 30.11.2020):
+ ```
+ pip install kaggle
+ ```
+- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 41K Β· β±οΈ 21.01.2021):
+ ```
+ conda install -c conda-forge kaggle
+ ```
+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» 46 Β· π 600 Β· π₯ 360 Β· π¦ 630 Β· π 710 - 21% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 46 Β· π 610 Β· π₯ 360 Β· π¦ 650 Β· π 720 - 22% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 20K / month Β· β±οΈ 22.12.2020):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 18K / 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 1.6K Β· π₯ 390 Β· π 930 - 8% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 53 Β· π 1.6K Β· π₯ 400 Β· π 940 - 7% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 240K / month Β· π¦ 60 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 210K / 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
+tensorboardX (π₯27 Β· β 6.8K Β· π€) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
- [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₯ 250K / month Β· π¦ 1.3K Β· β±οΈ 31.12.2019):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 210K / month Β· π¦ 1.3K Β· β±οΈ 31.12.2019):
```
pip install tensorboardX
```
@@ -7081,16 +7033,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
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 26.01.2021):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 28 Β· π 320 Β· π¦ 100 Β· π 260 - 45% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 25K / month Β· π¦ 2 Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 15K / 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 27.01.2021):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 11K Β· β±οΈ 27.01.2021):
```
conda install -c conda-forge metaflow
```
@@ -7102,19 +7054,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/catalyst-team/catalyst
```
-- [PyPi](https://pypi.org/project/catalyst) (π₯ 5.2K / month Β· π¦ 38 Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/catalyst) (π₯ 4.5K / month Β· π¦ 38 Β· β±οΈ 03.02.2021):
```
pip install catalyst
```
ClearML (π₯24 Β· β 2.1K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2
+ClearML (π₯24 Β· β 2.2K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2
-- [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):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 25 Β· π 320 Β· π₯ 260 Β· π¦ 11 Β· π 260 - 21% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 1.8K / month Β· β±οΈ 24.01.2021):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 1.7K / month Β· β±οΈ 04.02.2021):
```
pip install clearml
```
@@ -7130,83 +7082,83 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.9K / month Β· π¦ 50 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 4.5K / month Β· π¦ 50 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
ml-metadata (π₯24 Β· β 270) - For recording and retrieving metadata associated with ML.. Apache-2
+livelossplot (π₯24 Β· β 1K) - Live training loss plot in Jupyter Notebook for Keras, PyTorch.. MIT
-- [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):
+- [GitHub](https://github.com/stared/livelossplot) (π¨βπ» 16 Β· π 130 Β· π¦ 440 Β· π 73 - 5% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/google/ml-metadata
+ git clone https://github.com/stared/livelossplot
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 220K / month Β· β±οΈ 26.01.2021):
+- [PyPi](https://pypi.org/project/livelossplot) (π₯ 9.3K / month Β· π¦ 10 Β· β±οΈ 03.02.2021):
```
- pip install ml-metadata
+ pip install livelossplot
```
VisualDL (π₯23 Β· β 3.2K) - Deep Learning Visualization Toolkit. Apache-2
+ml-metadata (π₯24 Β· β 280) - For recording and retrieving metadata associated with ML.. 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 26.01.2021):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 11 Β· π 60 Β· π₯ 1.2K Β· π¦ 72 Β· π 58 - 29% open Β· β±οΈ 01.02.2021):
```
- git clone https://github.com/PaddlePaddle/VisualDL
+ git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 3.7K / month Β· π¦ 10 Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 190K / month Β· β±οΈ 26.01.2021):
```
- pip install visualdl
+ pip install ml-metadata
```
TensorWatch (π₯23 Β· β 3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT
+VisualDL (π₯23 Β· β 3.4K) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/microsoft/tensorwatch) (π¨βπ» 13 Β· π 310 Β· π¦ 45 Β· π 63 - 76% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 28 Β· π 480 Β· π₯ 71 Β· π¦ 150 Β· π 340 - 7% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/microsoft/tensorwatch
+ git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 18K / month Β· π¦ 6 Β· β±οΈ 04.03.2020):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 3K / month Β· π¦ 10 Β· β±οΈ 29.01.2021):
```
- pip install tensorwatch
+ pip install visualdl
```
livelossplot (π₯23 Β· β 1K) - Live training loss plot in Jupyter Notebook for Keras, PyTorch.. MIT
+TensorWatch (π₯23 Β· β 3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT
-- [GitHub](https://github.com/stared/livelossplot) (π¨βπ» 15 Β· π 130 Β· π¦ 430 Β· π 72 - 6% open Β· β±οΈ 16.11.2020):
+- [GitHub](https://github.com/microsoft/tensorwatch) (π¨βπ» 13 Β· π 310 Β· π¦ 45 Β· π 64 - 76% open Β· β±οΈ 15.01.2021):
```
- git clone https://github.com/stared/livelossplot
+ git clone https://github.com/microsoft/tensorwatch
```
-- [PyPi](https://pypi.org/project/livelossplot) (π₯ 10K / month Β· π¦ 5 Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 14K / month Β· π¦ 6 Β· β±οΈ 04.03.2020):
```
- pip install livelossplot
+ pip install tensorwatch
```
knockknock (π₯22 Β· β 2K Β· π€) - Knock Knock: Get notified when your training ends with only two.. MIT
-- [GitHub](https://github.com/huggingface/knockknock) (π¨βπ» 18 Β· π 160 Β· π¦ 130 Β· π 33 - 36% open Β· β±οΈ 16.03.2020):
+- [GitHub](https://github.com/huggingface/knockknock) (π¨βπ» 18 Β· π 160 Β· π¦ 140 Β· π 33 - 36% open Β· β±οΈ 16.03.2020):
```
git clone https://github.com/huggingface/knockknock
```
-- [PyPi](https://pypi.org/project/knockknock) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 16.03.2020):
+- [PyPi](https://pypi.org/project/knockknock) (π₯ 1.5K / month Β· π¦ 3 Β· β±οΈ 16.03.2020):
```
pip install knockknock
```
-- [Conda](https://anaconda.org/conda-forge/knockknock) (π₯ 5.3K Β· β±οΈ 17.03.2020):
+- [Conda](https://anaconda.org/conda-forge/knockknock) (π₯ 5.4K Β· β±οΈ 17.03.2020):
```
conda install -c conda-forge knockknock
```
Guild AI (π₯22 Β· β 530) - Experiment tracking, ML developer tools. Apache-2
+Guild AI (π₯22 Β· β 540) - 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 - 38% open Β· β±οΈ 25.01.2021):
```
git clone https://github.com/guildai/guildai
```
-- [PyPi](https://pypi.org/project/guildai) (π₯ 1.9K / month Β· β±οΈ 14.01.2021):
+- [PyPi](https://pypi.org/project/guildai) (π₯ 1.5K / month Β· β±οΈ 14.01.2021):
```
pip install guildai
```
@@ -7218,7 +7170,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/instacart/lore
```
-- [PyPi](https://pypi.org/project/lore) (π₯ 440 / month Β· π¦ 1 Β· β±οΈ 11.05.2020):
+- [PyPi](https://pypi.org/project/lore) (π₯ 530 / month Β· π¦ 1 Β· β±οΈ 11.05.2020):
```
pip install lore
```
@@ -7230,14 +7182,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/studioml/studio
```
-- [PyPi](https://pypi.org/project/studioml) (π₯ 940 / month Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/studioml) (π₯ 710 / month Β· β±οΈ 22.01.2021):
```
pip install studioml
```
Labml (π₯20 Β· β 370) - Monitor PyTorch & TensorFlow model training from your mobile phone. MIT
+Labml (π₯20 Β· β 390) - Monitor PyTorch & TensorFlow model training from your mobile phone. MIT
-- [GitHub](https://github.com/lab-ml/labml) (π¨βπ» 6 Β· π 35 Β· π¦ 20 Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/lab-ml/labml) (π¨βπ» 6 Β· π 36 Β· π¦ 20 Β· β±οΈ 30.01.2021):
```
git clone https://github.com/lab-ml/labml
@@ -7259,62 +7211,51 @@ _Libraries to organize, track, and visualize machine learning experiments._
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¦ 95 Β· π 31 - 51% open Β· β±οΈ 24.01.2020):
-
- ```
- git clone https://github.com/awslabs/mxboard
- ```
-- [PyPi](https://pypi.org/project/mxboard) (π₯ 2.2K / month Β· π¦ 1 Β· β±οΈ 22.05.2018):
- ```
- pip install mxboard
- ```
-quinn (π₯19 Β· β 200) - pyspark methods to enhance developer productivity. Apache-2
+quinn (π₯19 Β· β 200 Β· π€) - pyspark methods to enhance developer productivity. Apache-2
- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 6 Β· π 26 Β· π 23 - 73% open Β· β±οΈ 29.07.2020):
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 89K / month Β· π¦ 3 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 77K / month Β· π¦ 3 Β· β±οΈ 26.07.2020):
```
pip install quinn
```
gokart (π₯19 Β· β 160 Β· π) - A wrapper of the data pipeline library luigi. MIT
+gokart (π₯19 Β· β 160) - 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):
+- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 24 Β· π 29 Β· π 35 - 25% open Β· β±οΈ 02.02.2021):
```
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):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 520 / 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
+aim (π₯15 Β· β 840) - 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 44 - 43% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 8 Β· π 46 Β· π 45 - 44% open Β· β±οΈ 21.01.2021):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 790 / month Β· π¦ 2 Β· β±οΈ 07.01.2021):
+- [PyPi](https://pypi.org/project/aim) (π₯ 690 / month Β· π¦ 2 Β· β±οΈ 07.01.2021):
```
pip install aim
```
Show 6 hidden projects...
+Show 7 hidden projects...
- 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 Apache-2 βοΈBSD-1-Clause 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 Apache-2
@@ -7326,44 +7267,44 @@ _Libraries to serialize models to files, convert between a variety of model form
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¦ 2.5K Β· π 1.4K - 35% open Β· β±οΈ 28.01.2021):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 190 Β· π 1.8K Β· π₯ 10K Β· π¦ 2.5K Β· π 1.4K - 34% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 270K / month Β· π¦ 300 Β· β±οΈ 06.11.2020):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 240K / month Β· π¦ 300 Β· β±οΈ 29.01.2021):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 180K Β· β±οΈ 13.01.2021):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 190K Β· β±οΈ 03.02.2021):
```
conda install -c conda-forge onnx
```
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¦ 460 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₯ 2.4K Β· π¦ 460 Β· π 620 - 50% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 34K / month Β· π¦ 130 Β· β±οΈ 10.10.2020):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 30K / 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
+TorchServe (π₯24 Β· β 1.6K) - Model Serving on PyTorch. Apache-2
-- [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):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 61 Β· π 230 Β· π₯ 190 Β· π¦ 27 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₯ 3.3K / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 3.6K / month Β· β±οΈ 17.12.2020):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 6.2K Β· β±οΈ 17.12.2020):
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 6.4K Β· β±οΈ 17.12.2020):
```
conda install -c pytorch torchserve
```
@@ -7372,62 +7313,62 @@ _Libraries to serialize models to files, convert between a variety of model form
docker pull pytorch/torchserve
```
m2cgen (π₯23 Β· β 1.8K) - 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 72 - 50% 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₯ 8.3K / month Β· β±οΈ 18.09.2020):
+- [PyPi](https://pypi.org/project/mmdnn) (π₯ 410 / month Β· π¦ 3 Β· β±οΈ 24.07.2020):
```
- pip install m2cgen
+ pip install mmdnn
```
mmdnn (π₯22 Β· β 5.2K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
+m2cgen (π₯22 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¦ 5 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₯ 430 / month Β· π¦ 3 Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/m2cgen) (π₯ 7K / month Β· β±οΈ 18.09.2020):
```
- pip install mmdnn
+ pip install m2cgen
```
cortex (π₯21 Β· β 7.3K) - Run inference at scale. Apache-2
-- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 18 Β· π 550 Β· π 900 - 20% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 18 Β· π 550 Β· π 910 - 20% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/cortexlabs/cortex
```
-- [PyPi](https://pypi.org/project/cortex) (π₯ 600 / month Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/cortex) (π₯ 620 / month Β· β±οΈ 03.02.2021):
```
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₯ 91 Β· π¦ 12 Β· π 180 - 26% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 18 Β· π 160 Β· π₯ 91 Β· π¦ 12 Β· π 180 - 25% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 780 / month Β· β±οΈ 04.01.2021):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 720 / month Β· β±οΈ 04.01.2021):
```
pip install hummingbird-ml
```
pytorch2keras (π₯18 Β· β 660 Β· π€) - PyTorch to Keras model convertor. MIT
-- [GitHub](https://github.com/nerox8664/pytorch2keras) (π¨βπ» 11 Β· π 110 Β· π¦ 17 Β· π 100 - 37% open Β· β±οΈ 14.05.2020):
+- [GitHub](https://github.com/nerox8664/pytorch2keras) (π¨βπ» 11 Β· π 110 Β· π¦ 17 Β· π 110 - 38% open Β· β±οΈ 14.05.2020):
```
git clone https://github.com/nerox8664/pytorch2keras
```
-- [PyPi](https://pypi.org/project/pytorch2keras) (π₯ 380 / month Β· π¦ 1 Β· β±οΈ 14.05.2020):
+- [PyPi](https://pypi.org/project/pytorch2keras) (π₯ 320 / month Β· π¦ 1 Β· β±οΈ 14.05.2020):
```
pip install pytorch2keras
```
@@ -7439,7 +7380,7 @@ _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₯ 46 / month Β· π¦ 2 Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 23 / month Β· π¦ 2 Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
@@ -7447,7 +7388,7 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 2 hidden projects...
- 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 MIT
@@ -7459,16 +7400,16 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
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 1.7K Β· π¦ 1.9K Β· π 1.4K - 64% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/slundberg/shap) (π¨βπ» 140 Β· π 1.7K Β· π¦ 2K Β· π 1.4K - 65% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 690K / month Β· π¦ 140 Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/shap) (π₯ 610K / month Β· π¦ 140 Β· β±οΈ 04.11.2020):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 370K Β· β±οΈ 16.12.2020):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 380K Β· β±οΈ 16.12.2020):
```
conda install -c conda-forge shap
```
@@ -7480,7 +7421,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/marcotcr/lime
```
-- [PyPi](https://pypi.org/project/lime) (π₯ 140K / month Β· π¦ 130 Β· β±οΈ 03.04.2020):
+- [PyPi](https://pypi.org/project/lime) (π₯ 110K / month Β· π¦ 130 Β· β±οΈ 03.04.2020):
```
pip install lime
```
@@ -7489,42 +7430,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge lime
```
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¦ 61 Β· π 170 - 28% open Β· β±οΈ 28.01.2021):
-
- ```
- git clone https://github.com/interpretml/interpret
- ```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 8.4K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
- ```
- pip install interpret
- ```
-eli5 (π₯27 Β· β 2.3K Β· π€) - A library for debugging/inspecting machine learning classifiers and.. MIT
-
-- [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/TeamHG-Memex/eli5
- ```
-- [PyPi](https://pypi.org/project/eli5) (π₯ 190K / month Β· π¦ 110 Β· β±οΈ 23.01.2021):
- ```
- pip install eli5
- ```
-- [Conda](https://anaconda.org/conda-forge/eli5) (π₯ 86K Β· β±οΈ 25.01.2021):
- ```
- conda install -c conda-forge eli5
- ```
-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):
+- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 31 Β· π 290 Β· π¦ 1.8K 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₯ 53K / month Β· π¦ 99 Β· β±οΈ 05.06.2018):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 46K / month Β· π¦ 99 Β· β±οΈ 05.06.2018):
```
pip install pyldavis
```
@@ -7535,60 +7448,72 @@ _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 28.01.2021):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 33 Β· π 210 Β· π 57 - 43% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 5M / month Β· π¦ 10 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 3.9M / month Β· π¦ 20 Β· β±οΈ 28.01.2021):
```
pip install tensorflow-model-analysis
```
InterpretML (π₯26 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¦ 61 Β· π 170 - 28% open Β· β±οΈ 03.02.2021):
+
+ ```
+ git clone https://github.com/interpretml/interpret
+ ```
+- [PyPi](https://pypi.org/project/interpret) (π₯ 7.6K / month Β· π¦ 2 Β· β±οΈ 20.01.2021):
+ ```
+ pip install interpret
+ ```
+yellowbrick (π₯26 Β· β 3.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
-- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 95 Β· π 470 Β· π 600 - 14% open Β· β±οΈ 15.01.2021):
+- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 96 Β· π 470 Β· π 600 - 14% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 48K / month Β· π¦ 62 Β· β±οΈ 09.10.2020):
+- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 45K / 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
+Captum (π₯26 Β· β 2.1K) - Model interpretability and understanding for PyTorch. BSD-3
-- [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):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 68 Β· π 210 Β· π¦ 110 Β· π 190 - 24% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 7.2K / month Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/captum) (π₯ 9K / 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» 14 Β· π 190 Β· π¦ 100 Β· π 84 - 17% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 15 Β· π 190 Β· π¦ 110 Β· π 84 - 17% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 9.8K / 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
+arviz (π₯25 Β· β 940) - 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):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 64 Β· π 180 Β· π₯ 98 Β· π¦ 700 Β· π 520 - 20% open Β· β±οΈ 29.01.2021):
```
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):
+- [PyPi](https://pypi.org/project/arviz) (π₯ 89K / month Β· π¦ 36 Β· β±οΈ 17.01.2021):
```
pip install arviz
```
@@ -7599,7 +7524,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
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» 35 Β· π 560 Β· π¦ 420 Β· π 160 - 41% open Β· β±οΈ 26.01.2021):
+- [GitHub](https://github.com/tensorflow/lucid) (π¨βπ» 35 Β· π 550 Β· π¦ 430 Β· π 160 - 41% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/tensorflow/lucid
@@ -7611,57 +7536,45 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
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» 38 Β· π 370 Β· π₯ 21 Β· π¦ 25 Β· π 97 - 16% open Β· β±οΈ 24.01.2021):
+- [GitHub](https://github.com/microsoft/dowhy) (π¨βπ» 38 Β· π 380 Β· π₯ 21 Β· π¦ 26 Β· π 100 - 19% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/Microsoft/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 5.7K / month Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 4.8K / month Β· β±οΈ 12.12.2020):
```
pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 940 Β· β±οΈ 13.12.2020):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 980 Β· β±οΈ 13.12.2020):
```
conda install -c conda-forge dowhy
```
Fairness 360 (π₯24 Β· β 1.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 41 Β· π 380 Β· π¦ 62 Β· π 81 - 43% open Β· β±οΈ 19.01.2021):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 41 Β· π 390 Β· π¦ 64 Β· π 81 - 43% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 1.8K / 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¦ 680 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¦ 690 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₯ 1.4K / month Β· π¦ 28 Β· β±οΈ 06.07.2017):
+- [PyPi](https://pypi.org/project/keras-vis) (π₯ 1.2K / month Β· π¦ 28 Β· β±οΈ 06.07.2017):
```
pip install keras-vis
```
random-forest-importances (π₯23 Β· β 400) - Code to compute permutation and drop-column.. MIT
-
-- [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/parrt/random-forest-importances
- ```
-- [PyPi](https://pypi.org/project/rfpimp) (π₯ 8.2K / month Β· π¦ 2 Β· β±οΈ 25.11.2020):
- ```
- pip install rfpimp
- ```
-Alibi (π₯22 Β· β 870) - Algorithms for monitoring and explaining machine learning models. Apache-2
+Alibi (π₯22 Β· β 880) - Algorithms for monitoring and explaining machine learning models. Apache-2
- [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):
@@ -7675,12 +7588,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
keract (π₯22 Β· β 850) - Activation Maps (Layers Outputs) and Gradients in Keras. MIT
-- [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):
+- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 15 Β· π 180 Β· π¦ 68 Β· π 76 - 1% open Β· β±οΈ 24.01.2021):
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 1.1K / month Β· π¦ 5 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/keract) (π₯ 850 / month Β· π¦ 5 Β· β±οΈ 22.01.2021):
```
pip install keract
```
@@ -7692,7 +7605,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 450 / month Β· π¦ 1 Β· β±οΈ 28.10.2020):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 480 / month Β· π¦ 1 Β· β±οΈ 28.10.2020):
```
pip install aix360
```
@@ -7704,90 +7617,90 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/andosa/treeinterpreter
```
-- [PyPi](https://pypi.org/project/treeinterpreter) (π₯ 58K / month Β· π¦ 18 Β· β±οΈ 10.01.2021):
+- [PyPi](https://pypi.org/project/treeinterpreter) (π₯ 51K / month Β· π¦ 18 Β· β±οΈ 10.01.2021):
```
pip install treeinterpreter
```
iNNvestigate (π₯21 Β· β 750) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2
+random-forest-importances (π₯22 Β· β 410) - Code to compute permutation and drop-column.. MIT
+
+- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 14 Β· π 90 Β· π¦ 59 Β· π 31 - 12% open Β· β±οΈ 30.01.2021):
+
+ ```
+ git clone https://github.com/parrt/random-forest-importances
+ ```
+- [PyPi](https://pypi.org/project/rfpimp) (π₯ 5.7K / month Β· π¦ 4 Β· β±οΈ 28.01.2021):
+ ```
+ pip install rfpimp
+ ```
+iNNvestigate (π₯21 Β· β 760) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2
-- [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):
+- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 18 Β· π 170 Β· π¦ 47 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₯ 340 / month Β· π¦ 1 Β· β±οΈ 14.11.2020):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 14.11.2020):
```
pip install innvestigate
```
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):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 29 Β· π 170 Β· π 190 - 40% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 3.2K / month Β· π¦ 2 Β· β±οΈ 04.02.2021):
```
pip install fairlearn
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 8.6K Β· β±οΈ 11.11.2020):
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 9.2K Β· β±οΈ 03.02.2021):
```
conda install -c conda-forge fairlearn
```
aequitas (π₯21 Β· β 340) - Bias and Fairness Audit Toolkit. MIT
-
-- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 15 Β· π 63 Β· π¦ 64 Β· π 53 - 62% open Β· β±οΈ 20.12.2020):
-
- ```
- git clone https://github.com/dssg/aequitas
- ```
-- [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 98 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 99 Β· π¦ 5 Β· π 58 - 8% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/marcotcr/checklist
```
-- [PyPi](https://pypi.org/project/checklist) (π₯ 290 / month Β· π¦ 2 Β· β±οΈ 21.09.2020):
+- [PyPi](https://pypi.org/project/checklist) (π₯ 300 / 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
+tf-explain (π₯20 Β· β 760) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT
-- [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):
+- [GitHub](https://github.com/sicara/tf-explain) (π¨βπ» 13 Β· π 70 Β· π¦ 62 Β· π 76 - 40% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/sicara/tf-explain
```
-- [PyPi](https://pypi.org/project/tf-explain) (π₯ 890 / month Β· π¦ 1 Β· β±οΈ 14.02.2020):
+- [PyPi](https://pypi.org/project/tf-explain) (π₯ 790 / month Β· π¦ 1 Β· β±οΈ 14.02.2020):
```
pip install tf-explain
```
deeplift (π₯20 Β· β 500) - Public facing deeplift repo. MIT
+aequitas (π₯20 Β· β 350) - Bias and Fairness Audit Toolkit. MIT
-- [GitHub](https://github.com/kundajelab/deeplift) (π¨βπ» 11 Β· π 120 Β· π¦ 43 Β· π 75 - 38% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 15 Β· π 63 Β· π¦ 66 Β· π 53 - 62% open Β· β±οΈ 03.02.2021):
```
- git clone https://github.com/kundajelab/deeplift
+ git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/deeplift) (π₯ 490 / month Β· π¦ 2 Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 210 / month Β· π¦ 3 Β· β±οΈ 16.12.2020):
```
- pip install deeplift
+ pip install aequitas
```
sklearn-evaluation (π₯20 Β· β 290) - Machine learning model evaluation made easy: plots,.. MIT
-- [GitHub](https://github.com/edublancas/sklearn-evaluation) (π¨βπ» 5 Β· π 25 Β· π¦ 26 Β· π 35 - 22% open Β· β±οΈ 28.12.2020):
+- [GitHub](https://github.com/edublancas/sklearn-evaluation) (π¨βπ» 5 Β· π 25 Β· π¦ 27 Β· π 35 - 22% open Β· β±οΈ 28.12.2020):
```
git clone https://github.com/edublancas/sklearn-evaluation
@@ -7797,126 +7710,138 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install sklearn-evaluation
```
CausalNex (π₯19 Β· β 950 Β· β) - A Python library that helps data scientists to infer.. Apache-2
+CausalNex (π₯19 Β· β 960) - 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):
+- [GitHub](https://github.com/quantumblacklabs/causalnex) (π¨βπ» 16 Β· π 100 Β· π¦ 7 Β· π 63 - 46% 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):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 5.9K / month Β· β±οΈ 07.12.2020):
```
pip install causalnex
```
deeplift (π₯19 Β· β 500) - Public facing deeplift repo. MIT
+
+- [GitHub](https://github.com/kundajelab/deeplift) (π¨βπ» 11 Β· π 120 Β· π¦ 43 Β· π 75 - 38% open Β· β±οΈ 11.11.2020):
+
+ ```
+ 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):
+ ```
+ pip install deeplift
+ ```
+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 91 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 92 Β· π 70 - 48% open Β· β±οΈ 19.01.2021):
```
git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 2.8K / month Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 3.1K / month Β· β±οΈ 19.01.2021):
```
pip install witwidget
```
-- [NPM](https://www.npmjs.com/package/wit-widget) (π₯ 2.3K / month Β· β±οΈ 19.01.2021):
+- [NPM](https://www.npmjs.com/package/wit-widget) (π₯ 2.8K / month Β· β±οΈ 19.01.2021):
```
npm install wit-widget
```
explainerdashboard (π₯18 Β· β 280) - Quickly build Explainable AI dashboards that show the inner.. MIT
+explainerdashboard (π₯19 Β· β 300) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [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):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 8 Β· π 45 Β· π¦ 6 Β· π 64 - 12% open Β· β±οΈ 31.01.2021):
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 1K / month Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 1K / month Β· β±οΈ 31.01.2021):
```
pip install explainerdashboard
```
fairness-indicators (π₯18 Β· β 170) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2
+fairness-indicators (π₯18 Β· β 180) - 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 27.01.2021):
+- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 19 Β· π 53 Β· π 20 - 75% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 340 / month Β· β±οΈ 17.12.2020):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 250 / month Β· β±οΈ 28.01.2021):
```
pip install fairness-indicators
```
LIT (π₯17 Β· β 2.4K Β· π£) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2
+LIT (π₯17 Β· β 2.4K) - The Language Interpretability Tool: Interactively analyze NLP models for.. 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):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 10 Β· π 240 Β· π¦ 1 Β· π 68 - 57% 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):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 190 / 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
+ExplainX.ai (π₯17 Β· β 180) - Explainable AI framework for data scientists. Explain & debug any.. MIT
-- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 9 Β· π 65 Β· π 31 - 41% open Β· β±οΈ 21.01.2021):
+- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 4 Β· π 29 Β· π 22 - 40% open Β· β±οΈ 02.02.2021):
```
- git clone https://github.com/interpretml/DiCE
+ git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 160 / month Β· β±οΈ 22.09.2020):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 390 / month Β· β±οΈ 07.12.2020):
```
- pip install dice-ml
+ pip install explainx
```
LOFO (π₯17 Β· β 300) - Leave One Feature Out Importance. MIT
+DiCE (π₯16 Β· β 450) - Generate Diverse Counterfactual Explanations for any machine.. 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):
+- [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/aerdem4/lofo-importance
+ git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 160 / month Β· β±οΈ 02.07.2020):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 150 / month Β· β±οΈ 22.09.2020):
```
- pip install lofo-importance
+ pip install dice-ml
```
ExplainX.ai (π₯17 Β· β 160) - Explainable AI framework for data scientists. Explain & debug any.. MIT
+tcav (π₯16 Β· β 430 Β· π€) - Code for the TCAV ML interpretability project. Apache-2
-- [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/tensorflow/tcav) (π¨βπ» 16 Β· π 97 Β· π¦ 6 Β· π 42 - 4% open Β· β±οΈ 14.07.2020):
```
- git clone https://github.com/explainX/explainx
+ git clone https://github.com/tensorflow/tcav
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 390 / month Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/tcav) (π₯ 33 / month Β· π¦ 1 Β· β±οΈ 10.06.2019):
```
- pip install explainx
+ pip install tcav
```
tcav (π₯16 Β· β 430) - Code for the TCAV ML interpretability project. Apache-2
+LOFO (π₯16 Β· β 300 Β· π€) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/tensorflow/tcav) (π¨βπ» 16 Β· π 97 Β· π¦ 6 Β· π 42 - 4% open Β· β±οΈ 14.07.2020):
+- [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/tensorflow/tcav
+ git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/tcav) (π₯ 34 / month Β· π¦ 1 Β· β±οΈ 10.06.2019):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 130 / month Β· β±οΈ 02.07.2020):
```
- pip install tcav
+ pip install lofo-importance
```
model-card-toolkit (π₯16 Β· β 150 Β· π£) - a tool that leverages rich metadata and lineage.. Apache-2
+model-card-toolkit (π₯16 Β· β 160) - a tool that leverages rich metadata and lineage.. Apache-2
-- [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):
+- [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 03.02.2021):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
-- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 88 / month Β· β±οΈ 27.01.2021):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 120 / month Β· β±οΈ 27.01.2021):
```
pip install model-card-toolkit
```
@@ -7928,7 +7853,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MisaOgura/flashtorch
```
-- [PyPi](https://pypi.org/project/flashtorch) (π₯ 120 / month Β· β±οΈ 29.05.2020):
+- [PyPi](https://pypi.org/project/flashtorch) (π₯ 79 / month Β· β±οΈ 29.05.2020):
```
pip install flashtorch
```
@@ -7945,15 +7870,16 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install anchor_exp
```
Show 7 hidden projects...
+Show 8 hidden projects...
+- eli5 (π₯27 Β· β 2.3K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
- scikit-plot (π₯23 Β· β 2K Β· π) - An intuitive library to add plotting functionality to scikit-.. MIT βοΈUPL-1.0
+- Skater (π₯19 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
+- XAI (π₯16 Β· β 570 Β· π) - XAI - An eXplainability toolbox for machine learning. MIT
- imodels (π₯16 Β· β 150) - Interpretable ML package for concise, transparent, and accurate predictive.. 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 Apache-2
+- Attribution Priors (π₯12 Β· β 74) - Tools for training explainable models using.. MIT
@@ -7967,16 +7893,16 @@ _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» 75 Β· π 2.1K Β· π¦ 300 Β· π 1.4K - 7% open Β· β±οΈ 27.01.2021):
+- [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 03.02.2021):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 6.4K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 5.9K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
```
pip install pymilvus
```
-- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 23K Β· β±οΈ 12.12.2020):
+- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 24K Β· β±οΈ 12.12.2020):
```
conda install -c conda-forge faiss
```
@@ -7988,19 +7914,19 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 190K / month Β· π¦ 360 Β· β±οΈ 18.09.2020):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 150K / 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¦ 320 Β· π 360 - 12% open Β· β±οΈ 25.01.2021):
+- [GitHub](https://github.com/nmslib/nmslib) (π¨βπ» 44 Β· π 340 Β· π¦ 320 Β· π 360 - 12% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/nmslib) (π₯ 55K / month Β· π¦ 52 Β· β±οΈ 08.01.2021):
+- [PyPi](https://pypi.org/project/nmslib) (π₯ 52K / month Β· π¦ 52 Β· β±οΈ 03.02.2021):
```
pip install nmslib
```
@@ -8009,70 +7935,70 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge nmslib
```
Milvus (π₯25 Β· β 5K) - An open source embedding vector similarity search engine powered by.. Apache-2
+hnswlib (π₯26 Β· β 1.3K Β· π) - Header-only C++/python library for fast approximate nearest.. Apache-2
-- [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):
+- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 41 Β· π 240 Β· π¦ 88 Β· π 190 - 43% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/milvus-io/milvus
+ git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 6.4K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 04.02.2021):
```
- pip install pymilvus
- ```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 230K Β· β 9 Β· β±οΈ 06.01.2021):
- ```
- docker pull milvusdb/milvus
+ pip install hnswlib
```
hnswlib (π₯22 Β· β 1.3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
+Milvus (π₯25 Β· β 5K) - An open source embedding vector similarity search engine powered by.. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 32 Β· π 240 Β· π 180 - 43% open Β· β±οΈ 18.08.2020):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 140 Β· π 790 Β· π 2.1K - 10% open Β· β±οΈ 04.02.2021):
```
- git clone https://github.com/nmslib/hnswlib
- ```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 13.07.2020):
- ```
- pip install hnswlib
+ git clone https://github.com/milvus-io/milvus
```
-Magnitude (π₯21 Β· β 1.4K) - A fast, efficient universal vector embedding utility package. MIT
-
-- [GitHub](https://github.com/plasticityai/magnitude) (π¨βπ» 4 Β· π 98 Β· π¦ 170 Β· π 74 - 32% open Β· β±οΈ 17.07.2020):
-
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 5.9K / month Β· π¦ 6 Β· β±οΈ 21.01.2021):
```
- git clone https://github.com/plasticityai/magnitude
+ pip install pymilvus
```
-- [PyPi](https://pypi.org/project/pymagnitude) (π₯ 3.6K / month Β· π¦ 14 Β· β±οΈ 25.05.2020):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 240K Β· β 9 Β· β±οΈ 06.01.2021):
```
- pip install pymagnitude
+ docker pull milvusdb/milvus
```
PyNNDescent (π₯21 Β· β 370) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
+PyNNDescent (π₯23 Β· β 370 Β· π) - A Python nearest neighbor descent for approximate nearest.. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 10 Β· π 44 Β· π 57 - 49% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 10 Β· π 44 Β· π¦ 180 Β· π 57 - 47% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 32K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 46K / month Β· π¦ 3 Β· β±οΈ 19.11.2020):
```
pip install pynndescent
```
-- [Conda](https://anaconda.org/conda-forge/pynndescent) (π₯ 24K Β· β±οΈ 19.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pynndescent) (π₯ 32K 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
+Magnitude (π₯21 Β· β 1.4K Β· π€) - A fast, efficient universal vector embedding utility package. MIT
+
+- [GitHub](https://github.com/plasticityai/magnitude) (π¨βπ» 4 Β· π 98 Β· π¦ 170 Β· π 75 - 33% open Β· β±οΈ 17.07.2020):
+
+ ```
+ git clone https://github.com/plasticityai/magnitude
+ ```
+- [PyPi](https://pypi.org/project/pymagnitude) (π₯ 3.1K / month Β· π¦ 14 Β· β±οΈ 25.05.2020):
+ ```
+ pip install pymagnitude
+ ```
+NGT (π₯19 Β· β 620) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 10 Β· π 69 Β· π 76 - 9% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 11 Β· π 69 Β· π 76 - 9% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 2.5K / month Β· π¦ 3 Β· β±οΈ 23.09.2020):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 2.1K / month Β· π¦ 3 Β· β±οΈ 23.09.2020):
```
pip install ngt
```
@@ -8084,14 +8010,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/kakao/n2
```
-- [PyPi](https://pypi.org/project/n2) (π₯ 290 / month Β· π¦ 2 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/n2) (π₯ 270 / month Β· π¦ 2 Β· β±οΈ 16.10.2020):
```
pip install n2
```
Show 2 hidden projects...
-- NearPy (π₯20 Β· β 660 Β· π) - Python framework for fast (approximated) nearest neighbour search in.. MIT
+- NearPy (π₯19 Β· β 660 Β· π) - Python framework for fast (approximated) nearest neighbour search in.. MIT
- PySparNN (π₯11 Β· β 840 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
@@ -8104,12 +8030,12 @@ _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₯ 150 Β· π¦ 2K Β· π 2.1K - 6% open Β· β±οΈ 28.01.2021):
+- [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 03.02.2021):
```
git clone https://github.com/pymc-devs/pymc3
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 100K / month Β· π¦ 290 Β· β±οΈ 21.01.2021):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 89K / month Β· π¦ 290 Β· β±οΈ 21.01.2021):
```
pip install pymc3
```
@@ -8120,12 +8046,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
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 850 Β· π¦ 1 Β· π 950 - 45% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 400 Β· π 850 Β· π¦ 1 Β· π 950 - 45% open Β· β±οΈ 04.02.2021):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 290K / month Β· π¦ 250 Β· β±οΈ 29.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 270K / month Β· π¦ 250 Β· β±οΈ 29.12.2020):
```
pip install tensorflow-probability
```
@@ -8136,40 +8062,40 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
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» 32 Β· π 600 Β· π¦ 860 Β· π 340 - 19% open Β· β±οΈ 27.01.2021):
+- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 32 Β· π 630 Β· π¦ 870 Β· π 340 - 19% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 99K / month Β· π¦ 210 Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 79K / month Β· π¦ 210 Β· β±οΈ 03.02.2021):
```
pip install hmmlearn
```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 59K Β· β±οΈ 22.01.2021):
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 60K Β· β±οΈ 22.01.2021):
```
conda install -c conda-forge hmmlearn
```
Pyro (π₯28 Β· β 6.7K Β· π) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
+Pyro (π₯28 Β· β 6.7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [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):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 100 Β· π 810 Β· π¦ 380 Β· π 820 - 17% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 8.8K / month Β· π¦ 36 Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 13K / month Β· π¦ 36 Β· β±οΈ 17.11.2020):
```
pip install pyro-ppl
```
GPyTorch (π₯28 Β· β 2.3K) - A highly efficient and modular implementation of Gaussian Processes.. MIT
-- [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):
+- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 67 Β· π 320 Β· π¦ 200 Β· π 840 - 24% open Β· β±οΈ 29.01.2021):
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 27K / month Β· π¦ 8 Β· β±οΈ 19.01.2021):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 26K / month Β· π¦ 8 Β· β±οΈ 19.01.2021):
```
pip install gpytorch
```
@@ -8181,7 +8107,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/rlabbe/filterpy
```
-- [PyPi](https://pypi.org/project/filterpy) (π₯ 16K / month Β· π¦ 210 Β· β±οΈ 10.10.2018):
+- [PyPi](https://pypi.org/project/filterpy) (π₯ 21K / month Β· π¦ 210 Β· β±οΈ 10.10.2018):
```
pip install filterpy
```
@@ -8192,7 +8118,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPflow (π₯27 Β· β 1.4K) - Gaussian processes in TensorFlow. Apache-2
-- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 68 Β· π 390 Β· π¦ 210 Β· π 690 - 12% open Β· β±οΈ 13.01.2021):
+- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 68 Β· π 390 Β· π¦ 220 Β· π 690 - 12% open Β· β±οΈ 03.02.2021):
```
git clone https://github.com/GPflow/GPflow
@@ -8201,70 +8127,74 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 8K Β· β±οΈ 06.11.2018):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 8.1K Β· β±οΈ 06.11.2018):
```
conda install -c conda-forge gpflow
```
pomegranate (π₯26 Β· β 2.6K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
+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¦ 390 Β· π 570 - 5% open Β· β±οΈ 09.01.2021):
+- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 61 Β· π 470 Β· π¦ 390 Β· π 580 - 6% open Β· β±οΈ 09.01.2021):
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 18K / month Β· π¦ 56 Β· β±οΈ 09.01.2021):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 15K / month Β· π¦ 56 Β· β±οΈ 09.01.2021):
```
pip install pomegranate
```
-- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 43K Β· β±οΈ 01.11.2020):
+- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 44K 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₯ 52 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₯ 53 Β· π¦ 180 Β· π 720 - 31% open Β· β±οΈ 02.02.2021):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 19K / month Β· π¦ 12 Β· β±οΈ 30.12.2020):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 18K / month Β· π¦ 12 Β· β±οΈ 30.12.2020):
```
pip install pgmpy
```
SALib (π₯24 Β· β 430) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT
+PyStan (π₯24 Β· β 910 Β· π) - Temporary home for PyStan version 3. Documentation: https://pystan-.. ISC
-- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 24 Β· π 140 Β· π 230 - 19% open Β· β±οΈ 20.01.2021):
+- [GitHub](https://github.com/stan-dev/pystan) (π¨βπ» 5 Β· π 200 Β· π 91 - 6% open Β· β±οΈ 20.01.2021):
```
- git clone https://github.com/SALib/SALib
+ git clone https://github.com/stan-dev/pystan
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 11K / month Β· π¦ 44 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/pystan) (π₯ 480K / month Β· π¦ 340 Β· β±οΈ 16.01.2021):
```
- pip install salib
+ pip install pystan
```
-- [Conda](https://anaconda.org/conda-forge/salib) (π₯ 57K Β· β±οΈ 24.10.2020):
+- [Conda](https://anaconda.org/conda-forge/pystan) (π₯ 860K Β· β±οΈ 25.08.2020):
```
- conda install -c conda-forge salib
+ conda install -c conda-forge pystan
```
scikit-posthocs (π₯21 Β· β 170) - Pairwise Multiple Comparisons (Post Hoc) Tests in Python. MIT
+SALib (π₯24 Β· β 430) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. 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/SALib/SALib) (π¨βπ» 24 Β· π 140 Β· π 220 - 18% open Β· β±οΈ 20.01.2021):
```
- git clone https://github.com/maximtrp/scikit-posthocs
+ git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 8.2K / month Β· π¦ 3 Β· β±οΈ 12.10.2020):
+- [PyPi](https://pypi.org/project/salib) (π₯ 9.9K / month Β· π¦ 44 Β· β±οΈ 19.11.2020):
```
- pip install scikit-posthocs
+ pip install salib
+ ```
+- [Conda](https://anaconda.org/conda-forge/salib) (π₯ 57K Β· β±οΈ 24.10.2020):
+ ```
+ conda install -c conda-forge salib
```
bambi (π₯20 Β· β 540) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [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):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 15 Β· π 50 Β· π¦ 10 Β· π 150 - 16% open Β· β±οΈ 26.01.2021):
```
git clone https://github.com/bambinos/bambi
@@ -8274,21 +8204,21 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pip install bambi
```
pyhsmm (π₯18 Β· β 480) - Bayesian inference in HSMMs and HMMs. MIT
+scikit-posthocs (π₯20 Β· β 170) - Pairwise Multiple Comparisons (Post Hoc) Tests in Python. MIT
-- [GitHub](https://github.com/mattjj/pyhsmm) (π¨βπ» 13 Β· π 150 Β· π¦ 17 Β· π 94 - 36% open Β· β±οΈ 24.08.2020):
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 7 Β· π 18 Β· π₯ 16 Β· π¦ 110 Β· π 35 - 8% open Β· β±οΈ 19.10.2020):
```
- git clone https://github.com/mattjj/pyhsmm
+ git clone https://github.com/maximtrp/scikit-posthocs
```
-- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 34 / month Β· π¦ 4 Β· β±οΈ 10.05.2017):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 7.6K / month Β· π¦ 3 Β· β±οΈ 12.10.2020):
```
- pip install pyhsmm
+ pip install scikit-posthocs
```
Funsor (π₯18 Β· β 160) - Functional tensors for probabilistic programming. Apache-2
+