Factual package intelligence from PyPI
CLASV is a pipeline designed for rapidly predicting Lassa virus lineages using a Random Forest model.
pip install clasv
PyPI declares 41 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.20,>=1.18 when python_version < "3.8"<1.24,>=1.21 when python_version >= "3.8" and python_version < "3.12">=1.26 when python_version >= "3.12"<1.79 when python_version < "3.7"<1.81 when python_version >= "3.7" and python_version < "3.8"<1.85 when python_version >= "3.8" and python_version < "3.13">=1.85 when python_version >= "3.13"<1.2,>=1.1 when python_version < "3.7"<1.5,>=1.3 when python_version >= "3.7" and python_version < "3.8"<2.0,>=1.5 when python_version >= "3.8" and python_version < "3.9"<2.3,>=2.1 when python_version >= "3.9"<1.6 when python_version < "3.7"The compact report shows 12 of 41 declarations. The interactive dependency graph loads the complete metadata.
CLASV publishes 1 wheel and 1 source archive for version 1.0.6. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.8, 3.9.
PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .