yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
9.4k
Stars
1.8k
Forks
59.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact93.0
Velocity35.8
Health39.3
Growth Metrics
7-Day Stars
+10
30-Day Stars
+35
Acceleration
1.18x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Popular Alternatives & Competitors
Top projects in the same category (Multimodal AI) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
66%
Moderate Confidence
License
AGPL-3.0
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
59.6
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 11 open issues for 9,450 stars (0.1%).
- Maintenance cadence: Last push 255 days ago.
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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