arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
9.6k
Stars
408
Forks
58.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact88.3
Velocity36.4
Health42.1
Growth Metrics
7-Day Stars
+4
30-Day Stars
+17
Acceleration
1.14x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Top 99% globallyLast push 77d ago+4 stars / 7d+17 stars / 30d
🛡️ 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
58.6
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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