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
177 74.7 =
scikit-learn
22 92.5 =
Score 74.7 92.5 (best)
Release freshness 36.1 92.5 (best)
Adoption signals 88.4 (best) 80.5
Release freshness
Stale: 244 days without a release
Updated 55 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
#177 overall · #5 in category
74.7/100
  1. Platform readiness +40.0 100.0 × 40%
  2. Release freshness +12.6 36.1 × 35%
  3. Adoption signals +22.1 88.4 × 25%
Data from GitHub Last sync Computed on Sponsorship weight 0%, never counted Read the full formula
Rank receipt: scikit-learn
#22 overall · #3 in category
92.5/100
  1. Platform readiness +40.0 100.0 × 40%
  2. Release freshness +32.4 92.5 × 35%
  3. Adoption signals +20.1 80.5 × 25%
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