EI

arogozhnikov/einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

9.5k 397 +1/wk
GitHub
cupy deep-learning einops jax mlx numpy pytorch tensor tensorflow
Trend 3

Star & Fork Trend (19 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

arogozhnikov/einops has +1 stars this period . 7-day velocity: 0.0%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric einops cleanrl oneflow FlexLLMGen
Stars 9.5k 9.5k9.4k9.4k
Forks 397 1.0k1.0k593
Weekly Growth +1 +3-1-1
Language Python PythonC++Python
Sources 1 111
License MIT NOASSERTIONApache-2.0Apache-2.0

Capability Radar vs cleanrl

einops
cleanrl
Maintenance Activity 76

Last code push 48 days ago.

Community Engagement 68

Fork-to-star ratio: 4.2%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 41

+1 stars this period — 0.01% growth rate.

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.