Showing 8 of 8 projects
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
An open-source Python framework to evaluate, test, and monitor ML and LLM systems with 100+ built-in metrics.
A flexible and expressive API for performing statistical data validation on dataframe-like objects.
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
A Python package that automatically accelerates pandas and Modin DataFrame apply operations by choosing the fastest available method.
Jupyter magics and kernels for interactively working with remote Spark clusters via Livy, Lighter, or Ilum.
A lightweight and intuitive Go library for data manipulation, statistics, and machine learning using DataFrames.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.