ME
materialyzeai/megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
555 163 +0/wk
GitHub
deep-learning graph-networks keras machine-learning materials-science tensorflow
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
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Growth Velocity
materialyzeai/megnet has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | megnet | go-deep | bayesian-neural-network-pytorch | MATLAB-Deep-Learning-Model-Hub |
|---|---|---|---|---|
| Stars | 555 | 555 | 555 | 555 |
| Forks | 163 | 67 | 87 | 117 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Jupyter Notebook | Go | Python | MATLAB |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | MIT | MIT | NOASSERTION |
Capability Radar vs go-deep
megnet
go-deep
Maintenance Activity 0
Last code push 1078 days ago.
Community Engagement 100
Fork-to-star ratio: 29.4%. 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.