NUAA-AL/ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
Star & Fork Trend (17 data points)
Multi-Source Signals
Growth Velocity
NUAA-AL/ALiPy 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 | ALiPy | Nemotron | smartcore | bertsearch |
|---|---|---|---|---|
| Stars | 900 | 899 | 902 | 898 |
| Forks | 116 | 192 | 92 | 200 |
| Weekly Growth | +0 | +18 | +1 | +0 |
| Language | Python | Jupyter Notebook | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs Nemotron
Last code push 259 days ago.
Fork-to-star ratio: 12.9%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.