Factual package intelligence from PyPI
Automated Data Engineering specialist for Fabric Spark workloads - intelligent configuration analysis and optimization recommendations
pip install sparkwise
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.3.0>=10.0.0>=6.0>=4.0.0sparkwise publishes 1 wheel and 1 source archive for version 1.4.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .