PO
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
3.5k 596 +0/wk
GitHub
machine-learning probabilistic-graphical-models python pytorch
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jmschrei/pomegranate has +0 stars this period . 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | pomegranate | ALAE | Reco-papers | hub |
|---|---|---|---|---|
| Stars | 3.5k | 3.5k | 3.5k | 3.5k |
| Forks | 596 | 552 | 814 | 1.6k |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | Apache-2.0 |
Capability Radar vs ALAE
pomegranate
ALAE
Maintenance Activity 0
Last code push 399 days ago.
Community Engagement 85
Fork-to-star ratio: 17.0%. 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.