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JAX vs TensorFlow

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

Comparison of JAX vs TensorFlow
Criteria JAX
69 88.0 =
TensorFlow
152 69.2 =
Score 88.0 (best) 69.2
Release freshness 100.0 (best) 49.9
Adoption signals 76.0 88.4 (best)
Release freshness
Updated 3 days ago
Stale: 198 days without a release
Latest version jax-v0.11.2 · 2026-09-17v2.21.0 · 2026-03-06
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: TensorFlow
#152 overall · #5 in category
69.2/100
  1. Release freshness +24.9 49.9 × 50%
  2. Adoption signals +44.2 88.4 × 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