Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
2.9k
Stars
907
Forks
55.5
Radar Score
Rising
Momentum
Scoring Breakdown
Impact78.7
Velocity41.0
Health38.6
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Safety & Alignment · bias detectionTop 31% globally
Popular Alternatives & Competitors
Top projects in the same category (AI Safety & Alignment) — compare side by side.
🛡️ 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
C
Based on maintenance, issue response, and release cadence.
Radar Score
55.5
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.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.