Python-build-standalone Alternatives

python-build-standalone reviews and mentions

• OpenAI to Acquire Astral
  3 projects | news.ycombinator.com | 19 Mar 2026

  Curious how well upstream contributors or projects get contributed for these sort of headline-gathering acquisitions (probably not at all, unfortunately).

  OpenClaw notably was built around Mario Zechner's https://github.com/badlogic/pi-mono; uv I believe was highly adapted from Armin Ronacher's https://github.com/astral-sh/rye, and uses indygreg's https://github.com/astral-sh/python-build-standalone (both of which were eventually transferred to Astral).

• Uv is the best thing to happen to the Python ecosystem in a decade
  10 projects | news.ycombinator.com | 29 Oct 2025

  No, uv installs pythons available from https://github.com/astral-sh/python-build-standalone by default, which are quite good and have a wide variety of versions available, even on unusual platforms. If those don’t suit your needs, uv can be configured to use (and in some cases install or download, though that gets hairy) other versions you have installed yourself: https://docs.astral.sh/uv/concepts/python-versions/#managed-...

• uv: Cargo-like Python Tool That Replaces pipx, pyenv, and more
  3 projects | dev.to | 10 Sep 2025

  Astral capitalized on a very promising project called python-build-standalone and now maintains it. These are Python builds that work without installers.

• Fedora change aims for 99% package reproducibility
  6 projects | news.ycombinator.com | 11 Apr 2025

  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

• Uv overtakes Poetry (for Wagtail users)
  8 projects | news.ycombinator.com | 17 Mar 2025

  Yeah it has precompiled Python binaries. They're custom standalone builds of CPython: https://github.com/astral-sh/python-build-standalone

• Performance of the Python 3.14 tail-call interpreter
  8 projects | news.ycombinator.com | 10 Mar 2025

  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
  1 project | news.ycombinator.com | 23 Feb 2025
• UV has a killer feature you should know about
  14 projects | news.ycombinator.com | 12 Jan 2025

  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
  1 project | news.ycombinator.com | 31 Aug 2024
• Python Has Too Many Package Managers
  5 projects | news.ycombinator.com | 8 Jul 2024

  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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