Factual package intelligence from PyPI
Transform entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
pip install entity-embed
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<8.0,==7.1.2<9.0,>=8.6.0<1.2,>=0.1.7>=1.19.0>=4.0.2<1.3,>=1.1.6<1.0,>=0.9.98>=2020.11.13<1.9,>=1.7.1<0.10,>=0.8>=0.8.2<0.10>=4.53.0entity-embed publishes 1 wheel and 1 source archive for version 0.0.6. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .