SK
EducationalTestingService/skll
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
561 68 +0/wk
GitHub
hacktoberfest machine-learning python scikit-learn
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
EducationalTestingService/skll has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | skll | reaver | machine-learning | vectorhub |
|---|---|---|---|---|
| Stars | 561 | 561 | 561 | 561 |
| Forks | 68 | 87 | 729 | 55 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | GPL-3.0 | N/A |
Capability Radar vs reaver
skll
reaver
Maintenance Activity 0
Last code push 300 days ago.
Community Engagement 61
Fork-to-star ratio: 12.1%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.