yakew7/Fair-Code
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Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.
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Activity25
Community25
Maintenance9
Popularity19
#ai-fairness#algorithmic-bias#bias-detection#bias-mitigation#criminal-justice#explainable-ai#fairlearn#fairness#healthcare#hiring#jupyter#lending#machine-learning#open-source#python#responsible-ai#scikit-learn#tenant-screening#welfare
Should you contribute to yakew7/Fair-Code?
yakew7/Fair-Code has a FoundDev health score of 78/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in HTML, so prior HTML experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
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0d ago
