Factual package intelligence from PyPI
Extract structured data from PDFs and images by passing a schema.
pip install lift-pdf
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=8.1.0>=1.2.0>=0.4.11>=2.40.0>=12.2.0>=2.14.1>=2.13.4>=5.9.0>=1.2.2The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
lift-pdf publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.12, 3.13.
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 lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .