AU
jcmgray/autoray
Abstract your array operations.
169 11 +0/wk
GitHub
array dask deep-learning jax lazy machine-learning numpy python pytorch tensor tensorflow
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jcmgray/autoray has +0 stars this period . 7-day velocity: 0.6%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | autoray | DARE | TinyTorch | wildlife-datasets |
|---|---|---|---|---|
| Stars | 169 | 170 | 168 | 168 |
| Forks | 11 | 4 | 26 | 21 |
| Weekly Growth | +0 | +3 | +0 | +0 |
| Language | Python | Python | C++ | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | MIT |
Capability Radar vs DARE
autoray
DARE
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 33
Fork-to-star ratio: 6.5%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.