jmaczan/tiny-vllm

Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM

1.2k
Stars
104
Forks
50.1
Radar Score
Stable
Momentum

Scoring Breakdown

Impact62.1
Velocity35.0
Health51.9

Growth Metrics

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

Why it ranks

Modest but positive momentum.

LLM Frameworks · inference engineTop 41% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
76%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
50.1
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 0 open issues for 1,190 stars (0.0%).
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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