nix-cde
python-build-standalone
nix-cde | python-build-standalone | |
---|---|---|
9 | 11 | |
29 | 1,553 | |
- | - | |
6.4 | 9.1 | |
6 days ago | 14 days ago | |
Nix | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nix-cde
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The Magic Nix Cache
This is what I'm using with gitlab: https://github.com/takeda/nix-cde/blob/master/contrib/gitlab...
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Using Nix as an alternative to dev containers in VScode.
I myself use https://github.com/takeda/nix-cde it just wraps other projects in an opinionated way and contains the boiler plate that I would normally use otherwise.
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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/…
There's a project that does this with using Nix: https://github.com/takeda/nix-cde (this is a wrapper around https://github.com/nix-community/poetry2nix)
- Docker multi-stage build with Poetry
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Python 3.11 delivers.
I personally use this: https://github.com/takeda/nix-cde it has the benefit of a reproducible build environment, but unfortunately anything involving Nix has a steep learning curve.
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The perfect way to handle project-specific developer configs
I use this myself: https://github.com/takeda/nix-cde
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Asdf – the language tool version manager
I don't use NixOS myself, but have Nix installed on my Mac, and it seems to provide all functionality of package or version managers I needed.
I think though it is more complex because it is a programming language that provides this functionality instead of purpose build tool like asdf.
For my needs I created a framework for development: https://github.com/takeda/nix-cde to avoid cruft of including the same things over and over in my projects.
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Use `Python -m Pip`
Not an OP, but I became a big fan of using poetry for managing dependencies. For managing python version I started using Nix package manager. It allows to describe all dependencies via code, but with time that code became a boilerplate, so I created this: https://github.com/takeda/nix-cde
It works very well for me so far.
python-build-standalone
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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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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.
[1] https://github.com/indygreg/python-build-standalone
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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.
What are some alternatives?
hasql-interpolate
iron.nvim - Interactive Repl Over Neovim
aws-lambda-python-runtime-interface-client
pyenv - Simple Python version management
nixml - NIX + YAML for easy to use reproducible environments
eclectica - ☀️ Cool and eclectic version manager for any language
globus-timer-cli - CLI for interacting with the Timer API
semver - Semantic Versioning Specification
m1-terraform-provider-helper - CLI to support with downloading and compiling terraform providers for Mac with M1 chip
Visual Studio Code - Visual Studio Code
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
evcxr