yuanzhang7/Awesome-Generative-Models-in-Pathology
The official GitHub page for the survey paper "Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges".
28
Stars
4
Forks
22.2
Radar Score
Declining
Momentum
Scoring Breakdown
Impact10.3
Velocity18.7
Health46.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—
Why it ranks
Modest but positive momentum.
Top 94% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
22.2
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.