OS
wkentaro/osam
Get up and running with SAM1,2,3, EfficientSAM, YOLO-World, and other promptable vision models locally.
86 14 +0/wk
GitHub
computer-vision deep-learning foundation-models onnx segment-anything
Trend
0
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
wkentaro/osam 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 | osam | minimind-notes | aprender | muna-py |
|---|---|---|---|---|
| Stars | 86 | 87 | 85 | 84 |
| Forks | 14 | 10 | 13 | 6 |
| Weekly Growth | +0 | -1 | +1 | +0 |
| Language | Python | Python | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs minimind-notes
osam
minimind-notes
Maintenance Activity 100
Last code push 4 days ago.
Community Engagement 81
Fork-to-star ratio: 16.3%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.