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SBOM for scikit-plots 0.4.0.post11

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.

CycloneDX PEP 740 attested No known vulnerabilities

License: BSD 3-Clause License Copyright (c) 2024-present, The scikit-plots developers All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ---- This binary distribution of NumPy also bundles the following software: Name: OpenBLAS Files: numpy/.dylibs/libscip…
Requires Python: >=3.8
PyPI: scikit-plots 0.4.0.post11
changelog: https://scikit-plots.github.io/dev/whats_new/index.html
documentation: https://scikit-plots.github.io
download: https://github.com/scikit-plots/scikit-plots/tags
homepage: https://scikit-plots.github.io
issues: https://github.com/scikit-plots/scikit-plots/issues
repository: https://github.com/scikit-plots/scikit-plots

Available SBOMs

Read from .dist-info/sboms/ in each wheel.

scikit_plots-0.4.0.post11-cp310-cp310-musllinux_1_2_aarch64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp310-cp310-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp311-cp311-musllinux_1_2_aarch64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp311-cp311-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp312-cp312-musllinux_1_2_aarch64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp312-cp312-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp313-cp313-musllinux_1_2_aarch64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp313-cp313-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp313-cp313t-musllinux_1_2_aarch64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp313-cp313t-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp314-cp314-musllinux_1_2_aarch64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp314-cp314-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

scikit_plots-0.4.0.post11-cp39-cp39-musllinux_1_2_x86_64.whl

Attested

Publisher: GitHub Source: scikit-plots/scikit-plots Workflow: ci_wheels_pypi.yml

auditwheel.cdx.json

CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities

Known vulnerabilities

Components listed in these SBOMs, matched against the OSV database as of 2026-11-10.

OSV has no known vulnerabilities for the components these SBOMs list.

Access via TEA

Use the Transparency Exchange API to fetch this SBOM programmatically:

pip install libtea
python -m libtea https://pypi.sbomify.com pkg:pypi/[email protected]