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TensorFlow vs scikit-learn

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

Comparison of TensorFlow vs scikit-learn
Criteria TensorFlow
152 69.2 =
scikit-learn
33 90.2 =
Score 69.2 90.2 (best)
Release freshness 49.9 100.0 (best)
Adoption signals 88.4 (best) 80.5
Release freshness
Stale: 198 days without a release
Updated 9 days ago
Latest version v2.21.0 · 2026-03-061.9.1 · 2026-09-11
Pricing FreeFree
License Open sourceOpen source
Platforms
Linux ✓ ✓
macOS ✓ ✓
Windows ✓ ✓
API only ✓ ✓
Features
Integrations
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
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