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SBOM for gsply 0.4.6

Ultra-fast Gaussian Splatting PLY + SPZ I/O library - pure Python with NumPy and Numba. Features 11x faster GPU transfers and automatic format state tracking for seamless conversions.

CycloneDX PEP 740 attested No known vulnerabilities
License
MIT
Requires Python
>=3.10
PyPI
gsply 0.4.6
Documentation
https://github.com/OpsiClear/gsply#readme
Homepage
https://github.com/OpsiClear/gsply
Issues
https://github.com/OpsiClear/gsply/issues
Repository
https://github.com/OpsiClear/gsply

Available SBOMs

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

gsply-0.4.6-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: OpsiClear/gsply Workflow: publish.yml Environment: pypi
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

gsply-0.4.6-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: OpsiClear/gsply Workflow: publish.yml Environment: pypi
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

gsply-0.4.6-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: OpsiClear/gsply Workflow: publish.yml Environment: pypi
auditwheel.cdx.json
CycloneDX/1.4 application/vnd.cyclonedx+json no known vulnerabilities
Download

gsply-0.4.6-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Attested
Publisher: GitHub Source: OpsiClear/gsply Workflow: publish.yml Environment: pypi
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.

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