nix-cde
zpy
nix-cde | zpy | |
---|---|---|
9 | 35 | |
29 | 67 | |
- | - | |
6.4 | 9.1 | |
6 days ago | 4 days ago | |
Nix | Shell | |
MIT License | Do What The F*ck You Want To Public 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.
zpy
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This Week In Python
zpy – Zsh helpers for Python venvs, with uv or pip-tools
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Canonical blocked installing, or uninstalling pip packages on Ubuntu 23.04, what it can be done to solve these issues?
If your interactive shell is zsh, you could give my project zpy a try, particularly the function pipz that it provides, which is a lightweight pipx clone with great completions and good speed.
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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/…
I can immediately see some things rye is doing differently, like keeping the venvs themselves free of pip and pip-tools. I wonder in your explorations if you've tried rtx for managing python installations, or my own zpy wrapper of pip-tools+venv (which can also replace pipx).
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How do I build up my package's extra dependencies from groups of dependencies in a pyproject.toml?
My patterns in this regard aren't exactly mainstream, as I use flit+pip-tools+zpy (the latter being my own Zsh interface for Python dependency and environment operations), but FWIW here's how I go about nested requirements.
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What is your workflow for managing virtual environments for personal projects?
For managing venvs and dependencies and apps, I use my own frontend to pip-tools + venv, zpy. And for running tasks which require an activated venv, I use nox.
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One Does Not Simply 'pip install'
If anyone's interested in a pipx clone with excellent tab completion, I would appreciate any feedback on pipz, a function of my zsh plugin for python environment and dependency management: zpy
https://github.com/andydecleyre/zpy
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pipenv or virtualenv ?
For concise and practical interactive usage of those tools, with excellent tab completion, I made the Zsh frontend zpy.
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How to know what a package depend on when pip is installing it?
I also use my own Zsh wrapper functions with it, so for example: https://i.imgur.com/YX8bWy8.png
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I moved away from Poetry for Python
I'm a big fan of (and small contributor to) pip-tools, but both poetry and pipenv offer management of more stuff, which understandably appeals to folks seeking a simple comprehensible workflow.
Pip-tools is also a bit lower level, offering flexibility and compatibility which I relish, but also requiring more attention from the user to set things up as they wish.
If you or anyone else enjoying pip-tools is a Zsh user and interested in trying out my higher level functions to ease interactive use of pip-tools, venvs, and also isolated app installs (like pipx), I would love some feedback on zpy: https://github.com/AndydeCleyre/zpy
I'm very happy to answer any questions about it right here or as GitHub issues.
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Any recent updates in dependency management?
This is FAR from some big mainstream thing, but I use (and am happy to answer any questions about) my own Zsh frontend to venv+pip-tools+pip, zpy.
What are some alternatives?
hasql-interpolate
hatch - Modern, extensible Python project management
aws-lambda-python-runtime-interface-client
agkozak-zsh-prompt - A fast, asynchronous Zsh prompt with color ASCII indicators of Git, exit, SSH, virtual environment, and vi mode status. Framework-agnostic and customizable.
nixml - NIX + YAML for easy to use reproducible environments
wheezy.template - A lightweight template library.
globus-timer-cli - CLI for interacting with the Timer API
taskipy - the complementary task runner for python
m1-terraform-provider-helper - CLI to support with downloading and compiling terraform providers for Mac with M1 chip
zplug - :hibiscus: A next-generation plugin manager for zsh
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
tox-pin-deps - Run tox environments with strictly pinned dependencies (and no project or code changes).