AZ
probabilists/azula
Diffusion models in PyTorch
129 10 +0/wk
GitHub
deep-learning diffusion-models generative-model torch
Trend
0
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
probabilists/azula has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | azula | careamics | FinBERT-QA | sup3r |
|---|---|---|---|---|
| Stars | 129 | 128 | 130 | 130 |
| Forks | 10 | 21 | 30 | 35 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | N/A | BSD-3-Clause |
Capability Radar vs careamics
azula
careamics
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 39
Fork-to-star ratio: 7.8%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.