# SBOM for gaussian-splatting-mcmc 1.3.2 > Refactored python training code for 3D Gaussian Splatting as Markov Chain Monte Carlo The Python package gaussian-splatting-mcmc 1.3.2 ships 2 SBOM files (CycloneDX) inside its wheels, under `.dist-info/sboms/` ([PEP 770](https://peps.python.org/pep-0770/)). - Package URL (PURL): `pkg:pypi/gaussian-splatting-mcmc@1.3.2` - PyPI: https://pypi.org/project/gaussian-splatting-mcmc/1.3.2/ - Author: yindaheng98 - Homepage: ## SBOMs ### gaussian\_splatting\_mcmc-1.3.2-cp310-cp310-manylinux2014\_x86\_64.manylinux\_2\_17\_x86\_64.whl - [gaussian\_splatting\_mcmc-1.3.2.dist-info/sboms/auditwheel.cdx.json](https://pypi.sbomify.com/artifact/582b8ade-7a34-5cd4-839f-95d6e1988ddd/download): CycloneDX/1.4, `application/vnd.cyclonedx+json`, valid, no known vulnerabilities ### gaussian\_splatting\_mcmc-1.3.2-cp311-cp311-manylinux2014\_x86\_64.manylinux\_2\_17\_x86\_64.whl - [gaussian\_splatting\_mcmc-1.3.2.dist-info/sboms/auditwheel.cdx.json](https://pypi.sbomify.com/artifact/532f41dc-27ba-5325-8e30-14f5054fec04/download): CycloneDX/1.4, `application/vnd.cyclonedx+json`, valid, no known vulnerabilities ## Known vulnerabilities Components listed in these SBOMs, matched against the [OSV database](https://osv.dev/) as of 2026-11-10. OSV has no known vulnerabilities for the components these SBOMs list. ## Fetch it over TEA This SBOM is served over the [Transparency Exchange API](https://github.com/CycloneDX/transparency-exchange-api) (TEA). With the `libtea` client: ``` pip install libtea python -m libtea https://pypi.sbomify.com pkg:pypi/gaussian-splatting-mcmc@1.3.2 ``` Machine-readable copy of this page: https://pypi.sbomify.com/package/gaussian-splatting-mcmc/1.3.2.json --- From pypi-tea by sbomify: https://pypi.sbomify.com/package/gaussian-splatting-mcmc/1.3.2