ant-research/awesome-mllm-guardrails
A curated list of LLM/MLLM guardrails, safety benchmarks, guard models, jailbreak attacks, moderation datasets, and evaluation tools.
25
Stars
4
Forks
30.5
Radar Score
Stable
Momentum
Scoring Breakdown
Impact9.4
Velocity36.8
Health55.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Safety & Alignment · guardrailsTop 81% 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
A
Based on maintenance, issue response, and release cadence.
Radar Score
30.5
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.
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