awslabs / dgl-lifesci
Python package for graph neural networks in chemistry and biology
Summary
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| Main Code: 9,866 LOC (101 files) = PY (99%) + YML (<1%) + YAML (<1%) Secondary code: Test: 2,825 LOC (22); Generated: 0 LOC (0); Build & Deploy: 30 LOC (4); Other: 9,872 LOC (256); |
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| Duplication: 13% | |||
| File Size: 0% long (>1000 LOC), 61% short (<= 200 LOC) | |||
| Unit Size: 24% long (>100 LOC), 32% short (<= 10 LOC) | |||
| Conditional Complexity: 3% complex (McCabe index > 50), 44% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (13 components) | ||
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1 year, 8 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2022-01-30
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2
commits
(30 days)
1
contributors
(30 days) |
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