GI
Snapchat/GiGL
Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference for Graph Neural Networks
67 13 +0/wk
GitHub
gnn graph graph-machine-learning graph-neural-network large-scale machine-learning pytorch-geometric
Trend
0
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Snapchat/GiGL has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | GiGL | symbolfit | vox-serve | awesome-ai-anatomy |
|---|---|---|---|---|
| Stars | 67 | 67 | 66 | 68 |
| Forks | 13 | 6 | 8 | 5 |
| Weekly Growth | +0 | +0 | +0 | +37 |
| Language | Python | Python | Python | D2 |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | Apache-2.0 | MIT |
Capability Radar vs symbolfit
GiGL
symbolfit
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 97
Fork-to-star ratio: 19.4%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.