Factual package intelligence from PyPI
Cython-accelerated MDL histogram density estimation with dynamic programming, implementing Kontkanen & Myllymaki's algorithm (JMLR 2007).
pip install mdl-density-histogram
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3,>=2.2MDL-Density-Histogram publishes 40 wheels and 1 source archive for version 1.2.1. 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, musllinux_1_2_aarch64, musllinux_1_2_x86_64, win_amd64, win_arm64.
Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.
PyPI lists 15 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .