yakew7/Fair-Code

Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.

46
Stars
22
Forks
40.1
Radar Score
Rising
Momentum

Scoring Breakdown

Impact20.6
Velocity53.5
Health52.5

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
HTML

Why it ranks

Strong momentum — adoption is accelerating week over week.

AI Safety & Alignment · bias detectionTop 61% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
40.1
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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