pyspark-antipattern is a command-line static analysis tool that identifies performance antipatterns in PySpark code. It helps data engineers and developers improve code quality and efficiency by integrating with CI/CD pipelines and pre-commit hooks.
pyspark-antipattern is a Code review & quality product. It focuses on detecting and preventing performance antipatterns in PySpark code before deployment. It is built as an open-source project for data engineers. pyspark-antipattern is open source under the MIT license. pyspark-antipattern is available on the web and the command line.
pyspark-antipattern first shipped in 2026. Development happens publicly on GitHub with 30 stars and 145 commits in the last 90 days. Key capabilities include static analysis, performance linting, and pySpark integration.
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