pbs-installer
Installer for Python Build Standalone
Install
pbs-installer on PyPI
pip
pip install pbs-installeruv
uv add pbs-installerpoetry
poetry add pbs-installerPackage facts
| License | MIT (permissive) |
| Python support | supports the current Python release (>=3.9) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | none |
| Maintenance | actively maintained — 6 days since the last release |
| Last repo commit | |
| First released | |
| Popularity | one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-13) |
Evidence: pbs_installer-2026.8.7-py3-none-any.whl
About pbs-installer
from the package's own PyPI description — quoted content, verbatim
pbs-installer
An installer for @indygreg's python-build-standalone
The list of python versions are kept sync with the upstream automatically, via a periodically GitHub Action.
AI interpretation — verify before relying
AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page
Installs python-build-standalone, a pre-built Python runtime distribution, with automatic version synchronization to upstream releases.
Low friction: pure Python wheel with no runtime dependencies. Active maintenance with a release 6 days ago and regular upstream synchronization via GitHub Actions.
MIT permissive license allows unrestricted use, modification, and distribution in both open and closed projects.
Usage
pip install pbs-installer==2026.8.7
from pbs_installer import install
install()
Requires Python 3.9 or later.
Verdict: A lightweight, actively maintained installer for python-build-standalone with permissive MIT licensing and no dependencies. Suitable for projects needing portable Python runtimes, though actual availability depends on platform support from the upstream project.
Needs verification
- Which Python versions can be installed and whether coverage spans all major platforms (Linux, macOS, Windows)
- Performance or compatibility trade-offs compared to system Python or other distribution methods
- Specific API and usage patterns beyond the basic install function
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