huak
pip
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huak
- Why is poetry such a mess?
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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/…
Curious question, since both are written in Rust (thus performance-wise both will be great) what other differences are there between rye and huak ?
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My Goldilocks Python Setup: pyenv, pipx, and pip-tools
and https://github.com/cnpryer/huak if it's stable will replace it for me :)
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Looking for a dev-tools mentor
Hi! I'm working on https://github.com/cnpryer/huak. I really want to recreate what I enjoy about using Cargo but for the Python ecosystem.
- Huak – A Python package manager written in Rust. The Cargo for Python
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Astral, the company behind Ruff
Here’s an issue to track major feature status https://github.com/cnpryer/huak/issues/602
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[Code Review] I finished a refactor of lib.rs recently and would love feedback
Thanks for the feedback! https://github.com/cnpryer/huak/pull/590
- A Python package manager written in Rust inspired by Cargo
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Thank GOD for Poetry!
Yea I love that you found poetry and have enjoyed it so much. If you’re into package managers I’d really appreciate some of your feedback on Huak :). I just started it, but experiences like yours have given me the urge to build one.
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Huak - A Python Package manager written in Rust
I want you to tear me apart though so feel free to pick apart the architecture.md docs https://github.com/cnpryer/huak/blob/master/architecture.md
pip
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How to Create Virtual Environments in Python
Whenever you are working on a Python project that has external dependencies installed with pip, it is strongly recommended to first create a virtual environment.
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Boring Python: dependency management (2022)
Unfortunately that feature is easy to break: https://github.com/pypa/pip/issues/9644
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pip VS instld - a user suggested alternative
2 projects | 9 Dec 2023
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sudo pip install should be illegal
I think I did my part https://github.com/pypa/pip/issues/6409
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Can't seem to install Python YAML support
$ sudo pip install y$ sudo pip install yaml WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip. Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue. To avoid this problem you can invoke Python with '-m pip' instead of running pip directly. ERROR: Could not find a version that satisfies the requirement yaml (from versions: none) ERROR: No matching distribution found for yaml
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Bun v0.6.0 – Bun's new JavaScript bundler and minifier
What are you implying will happen?
Using the build-in tools, you can save the exact versions of dependencies (i.e. a lock file) using "pip freeze >dependencies.txt". This should give you the exact same set of packages in two years' time.
If you want to be even more sure, you can also store hashes in the lock file. This has to be generated by a separate tools at the moment [1][2] but can be consumed by the built-in tools [3], so "pip install -r requirements.txt" is still all you need in two years' time.
[1] https://github.com/pypa/pip/issues/4732
[2] https://pip-tools.readthedocs.io/en/latest/#using-hashes
[3] https://pip.pypa.io/en/stable/topics/secure-installs/#hash-c...
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My Goldilocks Python Setup: pyenv, pipx, and pip-tools
Here’s the issue, https://github.com/pypa/pip/issues/11664. I think the idea would be to have some file/json description of environment that could be passed to pip to allow it to fully cross compile. They are open to supporting it just needs contributor to be found to implement it and go through review/discussion.
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Remote Code Execution Vulnerability in Google They Are Not Willing to Fix
To be fair the only alternative is fixing Python, and even then you still would have to wait a good 5 years at least for all the old Python versions to dwindle.
It doesn't look like the fixing effort is progressing very quickly: https://github.com/pypa/pip/issues/8606
To their credit, at least they didn't close it "works as intended" which I imagine a lot of projects would.
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Pip 23.1 Released - Massive improvement to backtracking
Another good benchmark to trying to resolve apache-airflow[all]==1.10.13 using the state of PyPi on 2020-12-02, I give instructions here on how to reproduce that workflow: https://github.com/pypa/pip/issues/11836. Including a benchmark how how many extra packages your resolver should visit.
- will upgrading pip break things?
What are some alternatives?
rye - a Hassle-Free Python Experience
mamba - The Fast Cross-Platform Package Manager
poetry-plugin-export - Poetry plugin to export the dependencies to various formats
Poetry - Python packaging and dependency management made easy
nixpkgs - Nix Packages collection & NixOS
PDM - A modern Python package and dependency manager supporting the latest PEP standards
chruby - Changes the current Ruby
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
governance - The Conda & Conda-Incubator Governance Policy
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
backpack - 🎒 CLI to create starters from repos + Templates 🤖 + Actions 🚀
wheel - Adoption analysis of Python Wheels: https://pythonwheels.com/