mala-lab/Awesome-Anomaly-Detection-Foundation-Models

A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc

214
Stars
11
Forks
37.4
Radar Score
Stable
Momentum

Scoring Breakdown

Impact34.1
Velocity27.1
Health56.9

Growth Metrics

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

Why it ranks

Modest but positive momentum.

LLM FrameworksTop 68% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
37.4
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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