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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 +0/wk
GitHub
deep-learning force-field molecular-simulation neural-network pytorch quantum-chemistry quantum-mechanics
Trend 3

Star & Fork Trend (37 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

aiqm/torchani has +0 stars this period . 7-day velocity: 0.2%.

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Metric torchani tab-ddpm awesome-ml-model-compression Mengzi
Stars 543 543543543
Forks 137 1326262
Weekly Growth +0 +0+0+0
Language Python PythonN/AN/A
Sources 1 111
License MIT MITMITApache-2.0

Capability Radar vs tab-ddpm

torchani
tab-ddpm
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 30

No measurable growth in the current period (first-day cold start expected).

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.