TP
lab-cosmo/torch-pme
Particle-mesh based calculations of long-range interactions in PyTorch
78 9 +0/wk
GitHub
electrostatics fast-fourier-transform machine-learning material-science molecular-dynamics particle-mesh-ewald pytorch
Trend
0
Star & Fork Trend (8 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lab-cosmo/torch-pme has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | torch-pme | AI-for-Chemical-Engineers | scitex-python | robot-control-stack |
|---|---|---|---|---|
| Stars | 78 | 78 | 78 | 78 |
| Forks | 9 | 12 | 20 | 7 |
| Weekly Growth | +0 | +0 | +1 | +1 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | NOASSERTION | AGPL-3.0 | AGPL-3.0 |
Capability Radar vs AI-for-Chemical-Engineers
torch-pme
AI-for-Chemical-Engineers
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 58
Fork-to-star ratio: 11.5%. 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 BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.