AA
breimanntools/aaanalysis
Python framework for interpretable protein prediction
83 5 +0/wk
GitHub
explainability feature-engineering feature-selection intepretable-machine-learning intrepretability machine-learning positive-unlabeled-learning protein-prediction
Trend
0
Star & Fork Trend (14 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
breimanntools/aaanalysis 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 | aaanalysis | test-automation-skills-agents | software-mentions | fedbiomed |
|---|---|---|---|---|
| Stars | 83 | 83 | 83 | 82 |
| Forks | 5 | 16 | 12 | 15 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Jupyter Notebook | Java | JavaScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | MIT | Apache-2.0 | NOASSERTION |
Capability Radar vs test-automation-skills-agents
aaanalysis
test-automation-skills-agents
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 30
Fork-to-star ratio: 6.0%. Lower fork ratio may indicate passive usage.
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.