PyTorch vs scikit-learn
The best value in each numeric row is marked. Sponsorship has no effect on any of them.
| Criteria |
PyTorch
9
94.1
=
|
scikit-learn
22
92.5
=
|
|---|---|---|
| Score | 94.1 (best) | 92.5 |
| Release freshness | 94.9 (best) | 92.5 |
| Adoption signals | 83.6 (best) | 80.5 |
| Release freshness |
Updated 47 days ago
|
Updated 55 days ago
|
| Latest version | 197412 · 2026-09-19 | 1.9.1 · 2026-09-11 |
| Pricing | Free | Free |
| License | Open source | Open source |
| Platforms | ||
| Linux | ✓ | ✓ |
| macOS | ✓ | ✓ |
| Windows | ✓ | ✓ |
| API only | ✓ | ✓ |
| Features | ||
| Integrations | ||
Rank receipt: PyTorch
#9 overall · #1 in category
94.1/100
- Platform readiness +40.0 100.0 × 40%
- Release freshness +33.2 94.9 × 35%
- Adoption signals +20.9 83.6 × 25%
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%
Component values are before weighting. Read the full formula