poetry2nix
rules_python
poetry2nix | rules_python | |
---|---|---|
21 | 7 | |
731 | 498 | |
3.6% | 1.0% | |
9.7 | 9.5 | |
4 days ago | 3 days ago | |
Nix | Starlark | |
MIT License | Apache License 2.0 |
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.
poetry2nix
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Things I've learned about building CLI tools in Python
How about converting it to Nix derivation?
https://github.com/nix-community/poetry2nix
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Poetry2nix: mismatch cryptography sha256 but unable to modify
This looks really strange because I do not know how to solve it and also because it looks like the sha256 that I am setting is not the one that Nix will match. I read also https://github.com/nix-community/poetry2nix/issues/413 but I was not able to solve the problem.
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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)
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Issue building pycairo in python flake
{ description = "Application packaged using poetry2nix"; inputs.flake-utils.url = "github:numtide/flake-utils"; inputs.nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable"; inputs.poetry2nix = { url = "github:nix-community/poetry2nix"; inputs.nixpkgs.follows = "nixpkgs"; }; outputs = { self, nixpkgs, flake-utils, poetry2nix }: flake-utils.lib.eachDefaultSystem (system: let # see https://github.com/nix-community/poetry2nix/tree/master#api for more functions and examples. inherit (poetry2nix.legacyPackages.${system}) mkPoetryEnv; pkgs = import nixpkgs {inherit system;}; python = pkgs.python310; pythonEnv = mkPoetryEnv { inherit python; projectDir = ./.; preferWheels = true; }; in { #packages.default = mkPoetryEnv { # projectDir = ./.; # python = pkgs.python310; #}; devShells.default = pkgs.mkShell { buildInputs = [pythonEnv]; packages = [ poetry2nix.packages.${system}.poetry pkgs.cairo pkgs.pkg-config pkgs.gobject-introspection pkgs.tk ]; }; }); }
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Setting up Stabe Diffusion on NixOS
A cleaner way might be to use https://github.com/nix-community/poetry2nix which can load poetry.lock inside Nix. I still need to try it for torch, but it does seem like a clean way to use it.
- Ask HN: Is anyone successfully self-hosting Firefox Sync?
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How do I install dependencies for a python application
The README for poetry2nix (https://github.com/nix-community/poetry2nix) seems to indicate that all extras should be enabled by default.
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how to install Python packages not yet in the Nix repo?
if it's for a project you're working on, i'd recommend just using poetry2nix
- What is the point of containers in prod if one can use Nix everywhere?
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Issue when installing python packages
poetry2nix is another popular option.
rules_python
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Things I've learned about building CLI tools in Python
What's SV?
I honestly don't know why anyone would use that... as in what does Bazel do better than virtually anything else that can provide this functionality. But, I used to be an ops engineer in a big company which wanted everything to be Maven, regardless of whether it does it well or not. So we built and deployed with Maven a lot of weird and unrelated stuff.
Not impossible, but not anything I'd advise anyone to do on their free time.
Specifically wrt' the link you posted, if you look here: https://github.com/bazelbuild/rules_python/blob/main/python/... it says that only pure Python wheels are supported, but that's also a lie, they don't support half of the functionality of pure Python wheels.
So, definitely not worth using, since lots of functionality is simply not there.
- Python coverage in Bazel has been broken for nearly 6 years
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Build faster with Buck2: Our open source build system
Regarding bazel, the rules_python has a py_wheel rule that helps you creating wheels that you can upload to pypi (https://github.com/bazelbuild/rules_python/blob/52e14b78307a...).
If you want to see an approach of bazel to pypi taken a bit to the extreme you can have a look at tensorflow on GitHub to see how they do it. They don't use the above-mentioned building rule because I think their build step is quite complicated (C/C++ stuff, Vida/ROCm support, python bindings, and multiOS support all in one before you can publish to pypi).
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Incremental Builds for Haskell with Bazel
Python support in Bazel now looks more promising with `rules_python`: https://github.com/bazelbuild/rules_python
`rules_go` to my understanding is great too.
Over years, Bazel is not as opinionated as before, mostly because adoptions in different orgs force it to be so.
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Advantages of Monorepos
I have personally run converted build systems to Bazel, and use it for personal projects as well.
Bazel 1.0 was released in October 2019. If you were using it "a few years ago", I'm guessing you were using a pre-1.0 version. There's not some cutoff where Bazel magically got easy to use, and I still wouldn't describe it as "easy", but the problem it solves is hard to solve well, and the community support for Bazel has gotten a lot better over the past years.
https://github.com/bazelbuild/rules_python
The difficulty and complexity of using Bazel is highly variable. I've seen some projects where using Bazel is just super simple and easy, and some projects where using Bazel required a massive effort (custom toolchains and the like).
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Experimentations on Bazel: Python & FastAPI (1)
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") #------------------------------------------------------------------------------ # Python #------------------------------------------------------------------------------ # enable python rules http_archive( name = "rules_python", url = "https://github.com/bazelbuild/rules_python/releases/download/0.2.0/rules_python-0.2.0.tar.gz", sha256 = "778197e26c5fbeb07ac2a2c5ae405b30f6cb7ad1f5510ea6fdac03bded96cc6f", )
What are some alternatives?
mach-nix - Create highly reproducible python environments
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
flake-utils-plus - Use Nix flakes without any fluff.
pip-upgrade - Upgrade your pip packages with one line. A fast, reliable and easy tool for upgrading all of your packages while not breaking any dependencies
nixos-generators - Collection of image builders [maintainer=@Lassulus]
black - The uncompromising Python code formatter
age - A simple, modern and secure encryption tool (and Go library) with small explicit keys, no config options, and UNIX-style composability.
python-streams - A Library to support Writing concise functional code in python
spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
bazel-coverage-report-renderer - Haskell rules for Bazel.
nix - Nix, the purely functional package manager
TypeRig - Proxy API and Font Development Toolkit for FontLab