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PyTorch vs scikit-learn

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

Comparison of PyTorch vs scikit-learn
Criteria PyTorch
17 91.8 =
scikit-learn
33 90.2 =
Score 91.8 (best) 90.2
Release freshness 100.0 100.0
Adoption signals 83.6 (best) 80.5
Release freshness
Updated today
Updated 8 days ago
Latest version 195987 · 2026-09-191.9.1 · 2026-09-11
Pricing FreeFree
License Open sourceOpen source
Platforms
Linux ✓ ✓
macOS ✓ ✓
Windows ✓ ✓
API only ✓ ✓
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: scikit-learn
#33 overall · #3 in category
90.2/100
  1. Release freshness +50.0 100.0 × 50%
  2. Adoption signals +40.2 80.5 × 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