HD
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
3.1k 531 +0/wk
GitHub
cluster-analysis clustering clustering-algorithm clustering-evaluation machine-learning machine-learning-algorithms
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
scikit-learn-contrib/hdbscan has +0 stars this period . 7-day velocity: 0.0%.
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| Metric | hdbscan | xlearn | Deep-Learning-with-PyTorch-Tutorials | sweetviz |
|---|---|---|---|---|
| Stars | 3.1k | 3.1k | 3.1k | 3.1k |
| Forks | 531 | 515 | 1.3k | 288 |
| Weekly Growth | +0 | +0 | +1 | +1 |
| Language | Jupyter Notebook | C++ | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | Apache-2.0 | N/A | MIT |
Capability Radar vs xlearn
hdbscan
xlearn
Maintenance Activity 97
Last code push 12 days ago.
Community Engagement 86
Fork-to-star ratio: 17.1%. 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 BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.