← Back to Leaderboard
Project comparison
Segmentation Models.pytorch vs N8n
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Segmentation Models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
11.5K
Stars
0
Weekly
51/100
Health
N8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
187.5K
Stars
0
Weekly
67/100
Health
Quick Take
Adoption
N8n has the larger GitHub footprint with 187.5K stars.
Momentum
Segmentation Models.pytorch is currently growing faster at 0 stars this week.
Maintenance
N8n has the stronger health score at 67/100.
Side-by-side Metrics
| Signal | Segmentation Models.pytorch | N8n |
|---|---|---|
| GitHub stars | 11.5K | 187.5K |
| Weekly growth | 0 | 0 |
| Health score | 51 | 67 |
| Contributors | 78 | 629 |
| Commits per week | 8.9 | 143.4 |
| Open issues | 78 | 1.5K |
| Language | Python | TypeScript |
| License | MIT | NOASSERTION |
| Last commit | 1d ago | 16h ago |
| Last release | v0.5.0 | stable |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.