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JAX vs PyTorch

The best value in each numeric row is marked. Sponsorship has no effect on any of them.

Comparison of JAX vs PyTorch
Criteria JAX
69 88.0 =
PyTorch
17 91.8 =
Score 88.0 91.8 (best)
Release freshness 100.0 100.0
Adoption signals 76.0 83.6 (best)
Release freshness
Updated 3 days ago
Updated 1 day ago
Latest version jax-v0.11.2 · 2026-09-17195987 · 2026-09-19
Pricing FreeFree
License Open sourceOpen source
Platforms
Linux ✓ ✓
macOS ✓ ✓
API only ✓ ✓
Windows - ✓
Features
Integrations
Rank receipt: JAX
#69 overall · #4 in category
88.0/100
  1. Release freshness +50.0 100.0 × 50%
  2. Adoption signals +38.0 76.0 × 50%
Data from GitHub Last sync Computed on Sponsorship weight 0%, never counted Read the full formula
Rank receipt: PyTorch
#17 overall · #2 in category
91.8/100
  1. Release freshness +50.0 100.0 × 50%
  2. Adoption signals +41.8 83.6 × 50%
Data from GitHub Last sync Computed on Sponsorship weight 0%, never counted Read the full formula

Component values are before weighting. Read the full formula