vllm-project/speculators
A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM
943
Stars
283
Forks
0.0
Radar Score
Declining
Momentum
Scoring Breakdown
Impact0.0
Velocity0.0
Health0.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
97%
High 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
0.0
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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