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Project comparison
Scikit Learn vs N8n
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Scikit Learn
scikit-learn: machine learning in Python
66.0K
Stars
0
Weekly
52/100
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
Scikit Learn is currently growing faster at 0 stars this week.
Maintenance
N8n has the stronger health score at 67/100.
Side-by-side Metrics
| Signal | Scikit Learn | N8n |
|---|---|---|
| GitHub stars | 66.0K | 187.5K |
| Weekly growth | 0 | 0 |
| Health score | 52 | 67 |
| Contributors | 3.5K | 629 |
| Commits per week | 19.8 | 143.4 |
| Open issues | 2.0K | 1.5K |
| Language | Python | TypeScript |
| License | BSD-3-Clause | NOASSERTION |
| Last commit | 15h ago | 15h ago |
| Last release | 1.8.0 | stable |
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