Factual package intelligence from PyPI
dbt for unstructured data — declarative pipelines for documents, text, and ML preprocessing
pip install dbt-ml
PyPI declares 41 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.40>=8.1>=48.0.1>=1.0>=25>=3.1>=1.0>=16>=2.7>=6>=0.21The compact report shows 12 of 41 declarations. The interactive dependency graph loads the complete metadata.
dbt-ml publishes 1 wheel and 1 source archive for version 0.2.9. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 releases with files. The first dated release is ; 4 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.