PyTorch vs funNLP
The best value in each numeric row is marked. Sponsorship has no effect on any of them.
| Criteria |
PyTorch
9
94.1
=
|
funNLP
252
48.5
=
|
|---|---|---|
| Score | 94.1 (best) | 48.5 |
| Release freshness | 94.9 (best) | 0.0 |
| Adoption signals | 83.6 (best) | 82.0 |
| Release freshness |
Updated 47 days ago
|
Stale: 909 days without a release
|
| Latest version | 197412 · 2026-09-19 | v1.0.0 · 2024-05-10 |
| Pricing | Free | Free |
| License | Open source | Open source |
| Platforms | ||
| Linux | ✓ | ✓ |
| API only | ✓ | ✓ |
| macOS | ✓ | - |
| Windows | ✓ | - |
| Web | - | ✓ |
| 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: funNLP
#252 overall · #7 in category
48.5/100
- Platform readiness +28.0 70.0 × 40%
- Release freshness +0.0 0.0 × 35%
- Adoption signals +20.5 82.0 × 25%
Component values are before weighting. Read the full formula