google/paxml
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Star & Fork Trend (19 data points)
Multi-Source Signals
Growth Velocity
google/paxml has +0 stars this period . 7-day velocity: -0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | paxml | awesome-arabic | caiss | train-llm-from-scratch |
|---|---|---|---|---|
| Stars | 549 | 549 | 549 | 548 |
| Forks | 70 | 100 | 66 | 110 |
| Weekly Growth | +0 | +2 | +0 | +0 |
| Language | Python | N/A | C++ | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | N/A | MIT |
Capability Radar vs awesome-arabic
Last code push 2 days ago.
Fork-to-star ratio: 12.8%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.