DE
snap-stanford/deepsnap
Python library assists deep learning on graphs
570 56 +0/wk
GitHub
deep-learning graph-neural-networks pytorch
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
snap-stanford/deepsnap 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 | deepsnap | fire-detection-cnn | torchlayers | ML-HFT |
|---|---|---|---|---|
| Stars | 570 | 570 | 570 | 569 |
| Forks | 56 | 173 | 44 | 130 |
| Weekly Growth | +0 | +0 | +0 | -1 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | N/A |
Capability Radar vs fire-detection-cnn
deepsnap
fire-detection-cnn
Maintenance Activity 26
Last code push 136 days ago.
Community Engagement 49
Fork-to-star ratio: 9.8%. Lower fork ratio may indicate passive usage.
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.