TO
aiqm/torchani
TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.
543 137 +1/wk
GitHub
deep-learning force-field molecular-simulation neural-network pytorch quantum-chemistry quantum-mechanics
Trend
3
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
aiqm/torchani has +1 stars this period . 7-day velocity: 0.2%.
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| Metric | torchani | awesome-ml-model-compression | tab-ddpm | Mengzi |
|---|---|---|---|---|
| Stars | 543 | 543 | 543 | 543 |
| Forks | 137 | 62 | 132 | 62 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | N/A | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs awesome-ml-model-compression
torchani
awesome-ml-model-compression
Maintenance Activity 83
Last code push 36 days ago.
Community Engagement 100
Fork-to-star ratio: 25.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 51
+1 stars this period — 0.18% growth rate.
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.