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Implement the metadata ETL process to extract metadata from offline research data (HDF5 files) and inject it to the metadata catalog
pip install metadata-etl
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=1.0.1<2.0.0,>=1.4.0<3.0.0,>=2.11.1<8.0.0,>=7.4.1<0.8.0,>=0.7.2<4.0.0,>=3.10.0<2.0.0,>=1.26.4<0.4.0,>=0.3.0<2.0.0,>=1.1.0<2.0.0,>=1.5.0<4.0.0,>=3.2.2<3.0.0,>=2.0.0The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
metadata_etl publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .