IL
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
7.1k 1.3k +0/wk
GitHub
data-analysis data-science machine-learning python statistics
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scikit-learn-contrib/imbalanced-learn has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | imbalanced-learn | vectorbt | guess | autoscraper |
|---|---|---|---|---|
| Stars | 7.1k | 7.1k | 7.1k | 7.1k |
| Forks | 1.3k | 913 | 200 | 719 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | MIT | MIT |
Capability Radar vs vectorbt
imbalanced-learn
vectorbt
Maintenance Activity 95
Last code push 16 days ago.
Community Engagement 94
Fork-to-star ratio: 18.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.