Factual package intelligence from PyPI
Sherlock-lit helps you get everything an Abstract hides with a fast technical description card (Research questions, contribution, possible future works) of an NLP paper before reading it.
pip install sherlock-lit
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
sherlock-lit publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .