SC
atomistic-machine-learning/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
914 251 +0/wk
GitHub
condensed-matter machine-learning molecular-dynamics neural-network quantum-chemistry
Trend
0
Star & Fork Trend (35 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
atomistic-machine-learning/schnetpack has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | schnetpack | graspnet-baseline | course-gitbook | proteinnet |
|---|---|---|---|---|
| Stars | 914 | 914 | 913 | 913 |
| Forks | 251 | 211 | 192 | 138 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | N/A | MIT |
Capability Radar vs graspnet-baseline
schnetpack
graspnet-baseline
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 100
Fork-to-star ratio: 27.5%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.