Factual package intelligence from PyPI
An intuitive library that seamlessly adds plotting capabilities and functionality to any model objects or outputs, compatible with tools like scikit-learn, XGBoost, TensorFlow, and more.
pip install scikit-plots
PyPI declares 129 unique dependency rules for this release. Environment markers are shown when supplied by the project.
!=1.24.0,>=1.20 when python_version < "3.9">=2.0.0 when python_version >= "3.9">=1.7.0!=3.6.1,>=3.4>=1.2.0>=1.3.0rc1>=1.2.0>=3.1.0The compact report shows 8 of 129 declarations. The interactive dependency graph loads the complete metadata.
scikit-plots publishes 74 wheels and 1 source archive for version 0.4.0.post11. Wheel platform tags: macosx_10_15_x86_64, macosx_12_0_arm64, macosx_14_0_arm64, macosx_14_0_x86_64, manylinux_2_27_aarch64.manylinux_2_28_aarch64, manylinux_2_27_x86_64.manylinux_2_28_x86_64, musllinux_1_2_aarch64, musllinux_1_2_x86_64, win_amd64, win_arm64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.8, 3.9.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 13 releases with files. The first dated release is ; 11 releases fall 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.