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scikit-learn vs TensorFlow

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

Comparison of scikit-learn vs TensorFlow
Criteria scikit-learn
33 90.2 =
TensorFlow
153 69.2 =
Score 90.2 (best) 69.2
Release freshness 100.0 (best) 50.1
Adoption signals 80.5 88.4 (best)
Release freshness
Updated 8 days ago
Stale: 197 days without a release
Latest version 1.9.1 · 2026-09-11v2.21.0 · 2026-03-06
Pricing FreeFree
License Open sourceOpen source
Platforms
Linux ✓ ✓
macOS ✓ ✓
Windows ✓ ✓
API only ✓ ✓
Features
Integrations
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
Rank receipt: TensorFlow
#153 overall · #5 in category
69.2/100
  1. Release freshness +25.1 50.1 × 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