scikit-learn vs TensorFlow
The best value in each numeric row is marked. Sponsorship has no effect on any of them.
| Criteria |
scikit-learn
22
92.5
=
|
TensorFlow
177
74.7
=
|
|---|---|---|
| Score | 92.5 (best) | 74.7 |
| Release freshness | 92.5 (best) | 36.1 |
| Adoption signals | 80.5 | 88.4 (best) |
| Release freshness |
Updated 55 days ago
|
Stale: 244 days without a release
|
| Latest version | 1.9.1 · 2026-09-11 | v2.21.0 · 2026-03-06 |
| Pricing | Free | Free |
| License | Open source | Open source |
| Platforms | ||
| Linux | ✓ | ✓ |
| macOS | ✓ | ✓ |
| Windows | ✓ | ✓ |
| API only | ✓ | ✓ |
| Features | ||
| Integrations | ||
Rank receipt: scikit-learn
#22 overall · #3 in category
92.5/100
- Platform readiness +40.0 100.0 × 40%
- Release freshness +32.4 92.5 × 35%
- Adoption signals +20.1 80.5 × 25%
Rank receipt: TensorFlow
#177 overall · #5 in category
74.7/100
- Platform readiness +40.0 100.0 × 40%
- Release freshness +12.6 36.1 × 35%
- Adoption signals +22.1 88.4 × 25%
Component values are before weighting. Read the full formula