MySoftRank
Sign in

PyTorch vs JAX

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

Comparison of PyTorch vs JAX
Criteria PyTorch
17 91.8 =
JAX
69 88.0 =
Score 91.8 (best) 88.0
Release freshness 100.0 100.0
Adoption signals 83.6 (best) 76.0
Release freshness
Updated today
Updated 2 days ago
Latest version 195987 · 2026-09-19jax-v0.11.2 · 2026-09-17
Pricing FreeFree
License Open sourceOpen source
Platforms
Linux ✓ ✓
macOS ✓ ✓
API only ✓ ✓
Windows ✓ -
Features
Integrations
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
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

Component values are before weighting. Read the full formula