Factual package intelligence from PyPI
Deep learning toolkit for m6A site prediction (CNN + lightweight Transformer).
pip install m6aformer
PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 30 declarations. The interactive dependency graph loads the complete metadata.
m6aformer publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .