Factual package intelligence from PyPI
Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently th
pip install pymatgen-core
PyPI declares 37 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.3.2>=6.1.0>=3.8>=2026.7.16>=2.7<3,>=1.25.0 when python_version < "3.13"<3,>=2.1.0 when python_version >= "3.13"<4,>=3.10>=3.3.3>=2>=5.0The compact report shows 12 of 37 declarations. The interactive dependency graph loads the complete metadata.
pymatgen-core publishes 20 wheels and 1 source archive for version 2026.7.27. Wheel platform tags: 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, win32, win_amd64.
Declared Python classifiers: 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 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 .
2 historical releases are fully yanked in PyPI metadata.