awslabs / deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Summary
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| Main Code: 8,219 LOC (95 files) = SCALA (99%) + JAVA (<1%) | |||
| Duplication: 6% | |||
| File Size: 0% long (>1000 LOC), 63% short (<= 200 LOC) | |||
| Unit Size: 1% long (>100 LOC), 65% short (<= 10 LOC) | |||
| Conditional Complexity: 1% complex (McCabe index > 50), 80% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (11 components) | ||
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3 years, 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) | |||
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Features of interest:
TODOs
11 files |
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Latest commit date: 2021-09-07
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