CA
CAREamics/careamics
A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN etc.), with a focus on user-experience and documentation.)
128 21 +1/wk
GitHub
deep-learning denoising n2v python restoration
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
CAREamics/careamics has +1 stars this period . 7-day velocity: 0.8%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | careamics | TFClassify-Unity-Barracuda | azula | sup3r |
|---|---|---|---|---|
| Stars | 128 | 128 | 129 | 130 |
| Forks | 21 | 32 | 10 | 35 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | C# | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | MIT | MIT | BSD-3-Clause |
Capability Radar vs TFClassify-Unity-Barracuda
careamics
TFClassify-Unity-Barracuda
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 82
Fork-to-star ratio: 16.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 87
+1 stars this period — 0.78% growth rate.
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.