VI
mehta-lab/VisCy
computer vision models for single-cell phenotyping
89 12 +0/wk
GitHub
bioimage-analysis computer-vision image-translation machine-learning representation-learning
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mehta-lab/VisCy 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 | VisCy | data-ethics-club | mowl | spectralquant |
|---|---|---|---|---|
| Stars | 89 | 89 | 88 | 90 |
| Forks | 12 | 13 | 4 | 11 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | NOASSERTION | BSD-3-Clause | MIT |
Capability Radar vs data-ethics-club
VisCy
data-ethics-club
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 67
Fork-to-star ratio: 13.5%. 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 BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.