PH
NVIDIA/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
2.7k 634 +7/wk
GitHub
deep-learning machine-learning nvidia-gpu nvidia-warp physics pytorch
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NVIDIA/physicsnemo has +7 stars this period . 7-day velocity: 0.6%.
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| Metric | physicsnemo | Open-Interface | Top-AI-Conferences-Paper-with-Code | benchmarking-gnns |
|---|---|---|---|---|
| Stars | 2.7k | 2.6k | 2.6k | 2.7k |
| Forks | 634 | 270 | 601 | 458 |
| Weekly Growth | +7 | +2 | +0 | +0 |
| Language | Python | Python | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | GPL-3.0 | N/A | MIT |
Capability Radar vs Open-Interface
physicsnemo
Open-Interface
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 100
Fork-to-star ratio: 23.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 56
+7 stars this period — 0.26% growth rate.
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.