Factual package intelligence from PyPI
Data structures, algorithms and educational resources for bioinformatics.
pip install scikit-bio
PyPI declares 48 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.20.0>=3.4.2>=4.0.3>=2.0>=1.5.0>=1.9.0>=3.6.0>=2.1.16>=0.14.0>=0.5.0>=1.3The compact report shows 12 of 48 declarations. The interactive dependency graph loads the complete metadata.
scikit-bio publishes 29 wheels and 1 source archive for version 0.7.3. Wheel platform tags: macosx_10_13_x86_64, macosx_10_15_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64, manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64, win_amd64, win_arm64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
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 32 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .