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Modular toolkit for Data Engineering with PySpark and Delta Lake — schema management, auditing, profiling, normalization, JSON handling, window functions, and Delta Lake operations.
pip install pyspark-data-toolkit
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.1.2>=3.5.0>=2.0.0pyspark-data-toolkit publishes 1 wheel and 1 source archive for version 0.3.10.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 73 releases with files. The first dated release is ; 73 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.