Factual package intelligence from PyPI
A Python package for creating feature transformations in applications of machine learning to materials science.
pip install dscribe
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
dscribe publishes 42 wheels and 1 source archive for version 2.1.2. Wheel platform tags: macosx_10_13_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux_2_24_x86_64.manylinux_2_28_x86_64, musllinux_1_2_x86_64, win32, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
PyPI lists 30 releases 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 . The preceding dated release was .
1 historical release is fully yanked in PyPI metadata.