KA
NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
5.1k 620 +0/wk
GitHub
3d-deep-learning artificial-intelligence camera-api cuda differentiable-lighting differentiable-rendering gaussian-splatting interactive-visualizations neural-networks nvidia-warp physics-simulation pytorch
Trend
0
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NVIDIAGameWorks/kaolin has +0 stars this period . 7-day velocity: -0.0%.
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| Metric | kaolin | AutoGPTQ | graph-based-deep-learning-literature | mace |
|---|---|---|---|---|
| Stars | 5.1k | 5.0k | 5.0k | 5.0k |
| Forks | 620 | 537 | 785 | 824 |
| Weekly Growth | +0 | +3 | +1 | +0 |
| Language | Python | Python | Jupyter Notebook | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | Apache-2.0 |
Capability Radar vs AutoGPTQ
kaolin
AutoGPTQ
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 61
Fork-to-star ratio: 12.2%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.