JAX vs PyTorch
The best value in each numeric row is marked. Sponsorship has no effect on any of them.
| Criteria |
JAX
68
86.0
=
|
PyTorch
9
94.1
=
|
|---|---|---|
| Score | 86.0 | 94.1 (best) |
| Release freshness | 94.3 | 94.9 (best) |
| Adoption signals | 76.0 | 83.6 (best) |
| Release freshness |
Updated 49 days ago
|
Updated 47 days ago
|
| Latest version | jax-v0.11.2 · 2026-09-17 | 197412 · 2026-09-19 |
| Pricing | Free | Free |
| License | Open source | Open source |
| Platforms | ||
| Linux | ✓ | ✓ |
| macOS | ✓ | ✓ |
| API only | ✓ | ✓ |
| Windows | - | ✓ |
| Features | ||
| Integrations | ||
Rank receipt: JAX
#68 overall · #4 in category
86.0/100
- Platform readiness +34.0 85.0 × 40%
- Release freshness +33.0 94.3 × 35%
- Adoption signals +19.0 76.0 × 25%
Rank receipt: PyTorch
#9 overall · #1 in category
94.1/100
- Platform readiness +40.0 100.0 × 40%
- Release freshness +33.2 94.9 × 35%
- Adoption signals +20.9 83.6 × 25%
Component values are before weighting. Read the full formula