SBOM for svv-accelerated 0.0.57

svVascularize (svv): A synthetic vascular generation, modeling, and simulation package

CycloneDX No known vulnerabilities

Package information

Author
Zachary Sexton
License
MIT
Requires Python
>=3.9
PyPI
svv-accelerated 0.0.57

Available SBOMs

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

svv_accelerated-0.0.57-cp310-cp310-musllinux_1_2_aarch64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp310-cp310-musllinux_1_2_x86_64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp311-cp311-musllinux_1_2_aarch64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp311-cp311-musllinux_1_2_x86_64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp312-cp312-musllinux_1_2_aarch64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp312-cp312-musllinux_1_2_x86_64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp313-cp313-musllinux_1_2_aarch64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp313-cp313-musllinux_1_2_x86_64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp39-cp39-musllinux_1_2_aarch64.whl

Valid
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

svv_accelerated-0.0.57-cp39-cp39-musllinux_1_2_x86_64.whl

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]