aws-samples / amazon-deequ-glue
Automated data quality suggestions and analysis with Deequ on AWS Glue
Summary
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| Main Code: 3,013 LOC (26 files) = JS (36%) + SCALA (25%) + YAML (15%) + YML (8%) + GRAPHQL (7%) + PY (4%) + CSS (1%) + HTML (<1%) Secondary code: Test: 6 LOC (1); Generated: 0 LOC (0); Build & Deploy: 163 LOC (1); Other: 2,867 LOC (17); |
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| Duplication: 28% | |||
| File Size: 0% long (>1000 LOC), 61% short (<= 200 LOC) | |||
| Unit Size: 21% long (>100 LOC), 41% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 69% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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1 year, 5 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: 2021-12-16
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