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A mass spectrometry toolkit for deep learning with Transformer models.
pip install depthcharge-ms
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.0.0>=0.19.0>=12.0.1>=0.7.5>=4.7.2>=1.18.1>=0.48.0>=4.9.1>=0.4.1>=4.65.0>=1.1.4>=2.1.1>=2.4.0>=0.3.6>=2023.03.1>=9.4.0>=0.4.1>=0.18.1The compact report shows 18 of 27 declarations. The interactive dependency graph loads the complete metadata.
depthcharge-ms publishes 1 wheel and 1 source archive for version 0.4.10. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 19 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 .