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Python-build-standalone Alternatives
Similar projects and alternatives to python-build-standalone
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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datasette
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WorkOS
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neutralinojs
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homebrew-core
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zpy
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poetry2nix
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better python-build-standalone alternative or higher similarity.
python-build-standalone reviews and mentions
Posts with mentions or reviews of python-build-standalone.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-25.
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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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ModuleNotFoundError, but it's there
I'm trying to build a "portable" Python package based on those available from https://github.com/indygreg/python-build-standalone/releases.
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Briefcase: Convert a Python project into a standalone native application
I'm a huge fan of https://github.com/indygreg/python-build-standalone which provides Python builds that CAN be moved around and work independently of any other Python installation.
I used that for my own Python+Electron app, which I wrote about here: https://til.simonwillison.net/electron/python-inside-electro...
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alternative to poetry/pip/pipenv/pyenv/venv/virtualenv/pdm/hatch/…
I used to build my own Pythons that are the same everywhere, now I use indygreg's Python builds. Rye will automatically download and manage Python builds from there. No compiling, no divergence.
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As if there weren't enough packaging tools already: mitsuhiko/rye: an experimental alternative to poetry/pip/pipenv/venv/virtualenv/pdm/hatch/…
One interesting tidbit is that it completely ignores your system Python installations, and instead uses precompiled installations of Python by indygreg from PyOxidizer. This means you don't have to deal with installing Python. It just auto downloads the right builds.
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How to install any version of Python on Northeastern's Linux server
wget https://github.com/indygreg/python-build-standalone/releases/download/20220630/cpython-3.10.5+20220630-x86_64_v3-unknown-linux-gnu-install_only.tar.gz -O - | tar -xz && mv python PortablePython
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Switching from pyenv, rbenv, goenv and nvm to asdf – yujinyuz
The lack of Ruby support instantly rings an alarm for me because CPython (on POSIX) also is not relocatable, but is listed as support. Turns pit Hermit is actually using a third-party build script[1] instead of the official one. While the python-build-standalone project is quite awesome and indeed is useful for a lot of things, it has enough quirks I would recommend against any generic package distributor to advertise as Python for general use. This in turn makes me lose most confidence on Hermit, unfortunately.
Be careful if you’re also interested in Hermit. These kinds of things bit you up way down the road when you least expect them to.
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How to make sure a python program runs on a computer that might not have internet connection to download the external libraries used?
If you really want to be sure, you can download an install_only standalone Python build from https://github.com/indygreg/python-build-standalone/releases and install the libraries with the included pip. Then just tar it again to archive it, and use the included python to run your project. The downloaded wheel you get with pip wheel may depend on the Python version so you just save the wheels you must make sure the Python point version is exactly the same.
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JupyterLab Desktop App now available
This is really interesting to see. I've been trying to solve a similar problem over the past few weeks - bundling up a Python web application as an installable Desktop app, in my case for https://datasette.io/desktop - so it's really interesting to see how they've approached the problem.
I ended up including a full copy of Python using https://github.com/indygreg/python-build-standalone - it looks like they've bundled Conda.
I wrote up detailed notes on how I solved the Python bundling problem in https://simonwillison.net/2021/Sep/8/datasette-desktop/#how-... and in https://til.simonwillison.net/electron/python-inside-electro...
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A note from our sponsor - WorkOS
workos.com | 18 Apr 2024
Stats
Basic python-build-standalone repo stats
10
1,510
9.1
13 days ago
indygreg/python-build-standalone is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of python-build-standalone is Python.
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