1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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Updated
Jul 16, 2024 - Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Next generation of automated data exploratory analysis and visualization platform.
Visualize and compare datasets, target values and associations, with one line of code.
🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Feature exploration for supervised learning
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Automate Data Exploration and Treatment
Automatically find issues in image datasets and practice data-centric computer vision.
Data Explorer by Keen - point-and-click interface for analyzing and visualizing event data.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
🦘 Explore multimedia datasets at scale
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎
light and fast implementation of web pivot table / pivot chart components.
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
A collection of Jupyter notebooks exploring different datasets.
Code review for data in dbt
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