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python-build-standalone discussion
python-build-standalone reviews and mentions
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Fedora change aims for 99% package reproducibility
For Python, take a look at the musl builds in python-build-standalone[1], which are statically linked.
I also have a tiny collection of statically linked utilities available here[2].
[1] https://github.com/astral-sh/python-build-standalone
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Uv overtakes Poetry (for Wagtail users)
Yeah it has precompiled Python binaries. They're custom standalone builds of CPython: https://github.com/astral-sh/python-build-standalone
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Performance of the Python 3.14 tail-call interpreter
Trying to assess the performance of a python build is extremely difficult as there are a lot of build tricks you can do to improve it. Recently the astral folks ran into this showing how the conda-forge build is notable faster than most others:
https://github.com/astral-sh/python-build-standalone/pull/54...
I'd be interested to know how the tail-call interpreter performs with other build optimisations that exist.
- Python-build-standalone: redistributable builds of Python
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UV has a killer feature you should know about
https://github.com/astral-sh/python-build-standalone is by the same people as uv, so it's hardly random. The releases there include ones with profile-guided optimisation and link time optimisation [1], which are used by default for some platforms and Python versions (and work seems underway to make them usable for all [2]). I don't see any recommendation against using their binaries or mention of optimising for portability at the cost of performance on the page you link or the pages linked from it that I've looked at.
[1] https://github.com/astral-sh/uv/blob/main/crates/uv-python/d... (search for pgo)
[2] https://github.com/astral-sh/uv/issues/8015
- Python-build-standalone: Produce redistributable builds of Python
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Python Has Too Many Package Managers
It is young, and it does use established tools under the hood, but I think you should take another look:
- It manages the portable python version downloads depending on what you've pinned in your pyproject or the standard version: https://github.com/indygreg/python-build-standalone
- It uses Hatch, uv (or piptools), venv etc.
- It has a sane set of commands and should work even if they swap out some of the underlying tools.
- Its fast and have a great coverage of PEPs.
I've used it now for a few versions and I think its the best meta-packaging/python management tool out there. I
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Mise is a polyglot tool version manager
It also replaces "just" as a task manager for me which is very pleasant.
The fact that the python plugin uses precompiled Python binaries by default instead of building them from source remove common issues I had with the asdf's python plugin at work with missing dependencies.
Just so you know, I encountered two little quirks that needed a fix:
- [Backspace Key Doesn't work in Python REPL](https://github.com/indygreg/python-build-standalone/blob/mai...)
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Pyenv – lets you easily switch between multiple versions of Python
These builds are an alternative: https://github.com/indygreg/python-build-standalone
Those are what Rye and hatch use.
Drawbacks: late availability of patch versions, various quirks from how they are built (missing readline, missing some build info that self-compiled C python modules might need.)
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Show HN: Pywebview 5
Bundling Python isn't too bad if you find the right tools for it.
I really like https://github.com/indygreg/python-build-standalone and https://github.com/indygreg/PyOxidizer
A bundled, built standalone Python can be 16 to 32MB (including the full standard library, which you can strip down to just the bits you use to save size). Not tiny, but probably not worth switching programming languages over.
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A note from our sponsor - SaaSHub
www.saashub.com | 11 Jul 2025
Stats
astral-sh/python-build-standalone is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.
The primary programming language of python-build-standalone is Python.
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