AR
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
5.9k 1.3k +3/wk
GitHub
adversarial-attacks adversarial-examples adversarial-machine-learning ai artificial-intelligence attack blue-team evasion extraction inference machine-learning poisoning
Trend
3
Star & Fork Trend (43 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Trusted-AI/adversarial-robustness-toolbox has +3 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | adversarial-robustness-toolbox | chainer | gluon-cv | VLM-R1 |
|---|---|---|---|---|
| Stars | 5.9k | 5.9k | 5.9k | 5.9k |
| Forks | 1.3k | 1.4k | 1.2k | 378 |
| Weekly Growth | +3 | +0 | +0 | +2 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs chainer
adversarial-robustness-toolbox
chainer
Maintenance Activity 36
Last code push 118 days ago.
Community Engagement 100
Fork-to-star ratio: 22.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 43
+3 stars this period — 0.05% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.