Aequitas

An open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools

Fair Machine Learning (Bias Mitigation)
started in 2018
923 commits
23 contributors

Rank

2920 9

Git Repositories

Started

2018-02-13 2,670 days ago

GitHub Stars

706 #3,027

Weekly commits since inception
2018 2021 2025

Weekly contributors since inception
2018 2021 2025

Recent Project Activity

Time Period Commits Contributors
Past 30 days 0 commits #2,504 0 contributors #2,504
Past 90 days 2 commits #2,698 2 contributors #2,287
Past 365 days 12 commits #2,951 5 contributors #2,543
Past 1095 days 66 commits #3,210 11 contributors #2,900
All time 923 commits 23 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
18 Duncan Parkes
0 0 0 0 1
18 Beatriz Malveiro
0 0 0 0 1
18 Skyler Wharton
0 0 0 0 1
Showing 21 to 23 of 23 results
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Contributing Companies

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