tigerlab-ai/tiger

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

404
Stars
27
Forks
38.3
Radar Score
Stable
Momentum

Scoring Breakdown

Impact52.7
Velocity24.2
Health35.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook

Why it ranks

Modest but positive momentum.

RAG · vector databaseTop 64% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
73%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
38.3
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Maintenance cadence: Last push 1075 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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