google/torchax
torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.
Star & Fork Trend (18 data points)
Multi-Source Signals
Growth Velocity
google/torchax has +1 stars this period . 7-day velocity: 1.0%.
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| Metric | torchax | nntrainer | chatgpt-auto-refresh | odak |
|---|---|---|---|---|
| Stars | 206 | 206 | 206 | 206 |
| Forks | 28 | 115 | 13 | 61 |
| Weekly Growth | +1 | +0 | -1 | +0 |
| Language | Python | C++ | JavaScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | NOASSERTION | MPL-2.0 |
Capability Radar vs nntrainer
Last code push 1 days ago.
Fork-to-star ratio: 13.6%. Active community forking and contributing.
Issue data not yet available.
+1 stars this period — 0.49% growth rate.
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.