CH
AstraZeneca/chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
773 101 +0/wk
GitHub
biology chemistry deep-chemistry deep-learning drug drug-discovery drug-interaction drug-pair geometric-deep-learning geometry graph-neural-network machine-learning
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AstraZeneca/chemicalx has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | chemicalx | CourseraMachineLearning | IntroNeuralNetworks | knime-core |
|---|---|---|---|---|
| Stars | 773 | 773 | 773 | 772 |
| Forks | 101 | 310 | 210 | 160 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | MATLAB | Python | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | NOASSERTION |
Capability Radar vs CourseraMachineLearning
chemicalx
CourseraMachineLearning
Maintenance Activity 0
Last code push 941 days ago.
Community Engagement 65
Fork-to-star ratio: 13.1%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.