SBOM for mcpower 0.6.1

Monte Carlo Power Analysis for Statistical Models

CycloneDX PEP 740 attested No known vulnerabilities

Package information

License
GPL-3.0-or-later
Requires Python
>=3.10
PyPI
mcpower 0.6.1
Changelog
https://github.com/pawlenartowicz/MCPower/blob/main/CHANGELOG.md
Documentation
https://freestylerscientist.pl/mcpower/
Homepage
https://github.com/pawlenartowicz/MCPower
Issues
https://github.com/pawlenartowicz/MCPower/issues
Repository
https://github.com/pawlenartowicz/MCPower

Available SBOMs

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

mcpower-0.6.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: pawlenartowicz/MCPower Workflow: release.yml Environment: pypi
Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

mcpower-0.6.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: pawlenartowicz/MCPower Workflow: release.yml Environment: pypi
Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

mcpower-0.6.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: pawlenartowicz/MCPower Workflow: release.yml Environment: pypi
Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

mcpower-0.6.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: pawlenartowicz/MCPower Workflow: release.yml Environment: pypi
Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

mcpower-0.6.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: pawlenartowicz/MCPower Workflow: release.yml Environment: pypi
Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

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]