T3
wanmeihuali/taichi_3d_gaussian_splatting
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
748 72 +0/wk
GitHub
3d-reconstruction 3d-rendering computer-graphics computer-vision machine-learning nerf python pytorch real-time-rendering taichi
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
wanmeihuali/taichi_3d_gaussian_splatting has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | taichi_3d_gaussian_splatting | stable-diffusion-docker | panda-gym | DNABERT |
|---|---|---|---|---|
| Stars | 748 | 748 | 748 | 748 |
| Forks | 72 | 132 | 135 | 178 |
| Weekly Growth | +0 | -1 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | AGPL-3.0 | MIT | Apache-2.0 |
Capability Radar vs stable-diffusion-docker
taichi_3d_gaussian_splatting
stable-diffusion-docker
Maintenance Activity 0
Last code push 758 days ago.
Community Engagement 48
Fork-to-star ratio: 9.6%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.