Factual package intelligence from PyPI
This tool provides the state-of-the-art models for aspect term extraction (ATE), aspect polarity classification (APC), and text classification (TC).
pip install pyabsa
PyPI declares 49 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.0.0>=0.16>=0.9.6>=2.3.5<4.30.0>=1.0.0The compact report shows 25 of 49 declarations. The interactive dependency graph loads the complete metadata.
pyabsa publishes 1 wheel and 0 source archives for version 2.4.3. Wheel platform tags: any.
Declared Python classifiers: 3.10.
PyPI lists 222 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 .
2 historical releases are fully yanked in PyPI metadata.