subinium/Awesome-Scientific-LLM-Benchmarks
A curated, accuracy-first list of benchmarks for evaluating LLMs on scientific reasoning and discovery — math, physics, chemistry, materials, biology, and agentic science.
31
Stars
2
Forks
27.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact9.8
Velocity30.7
Health51.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
TypeScript
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🛡️ 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
B
Based on maintenance, issue response, and release cadence.
Radar Score
27.6
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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