TR
mahmoodlab/TRIDENT
Toolkit for large-scale whole-slide image processing.
523 113 +2/wk
GitHub
deep-learning foundation-model foundation-models-for-pathology histology pathology whole-slide-image
Trend
3
Star & Fork Trend (9 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mahmoodlab/TRIDENT has +2 stars this period . 7-day velocity: 0.4%.
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Signal-backed technical analysis will be available soon.
| Metric | TRIDENT | best-data-science-resources | supervisely | Urban-Sound-Classification |
|---|---|---|---|---|
| Stars | 523 | 523 | 523 | 523 |
| Forks | 113 | 140 | 78 | 241 |
| Weekly Growth | +2 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs best-data-science-resources
TRIDENT
best-data-science-resources
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 100
Fork-to-star ratio: 21.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 63
+2 stars this period — 0.38% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.