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.

2.8k 907 -1/wk

GitHub

ai artificial-intelligence bias bias-correction bias-detection bias-finder bias-reduction codait deep-learning discrimination fairness fairness-ai

Trend 0

Star & Fork Trend (26 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 2.8k

forks 907

Growth Velocity

Trusted-AI/AIF360 has -1 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	AIF360	hercules	whisper-timestamped	MTBook
Stars	2.8k	2.8k	2.8k	2.8k
Forks	907	290	209	753
Weekly Growth	-1	+1	+1	+0
Language	Python	Go	Python	TeX
Sources	1	1	1	1
License	Apache-2.0	NOASSERTION	AGPL-3.0	N/A

Capability Radar vs hercules

AIF360

hercules

Maintenance Activity 20

Last code push 146 days ago.

Community Engagement 100

Fork-to-star ratio: 32.6%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.