EI
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
9.5k 397 +2/wk
GitHub
cupy deep-learning einops jax mlx numpy pytorch tensor tensorflow
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
arogozhnikov/einops has +2 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 | models |
|---|---|---|---|---|
| Stars | 9.5k | 9.5k | 9.4k | 9.5k |
| Forks | 397 | 1.0k | 1.0k | 1.6k |
| Weekly Growth | +2 | +4 | -1 | -3 |
| Language | Python | Python | C++ | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | Apache-2.0 | Apache-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
+2 stars this period — 0.02% 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.