Autoenv
pipx
Autoenv | pipx | |
---|---|---|
6 | 38 | |
5,555 | 8,844 | |
- | 3.0% | |
5.9 | 9.3 | |
14 days ago | 6 days ago | |
Shell | Python | |
MIT License | MIT 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.
Autoenv
- Autoenv: Directory-Based Environments
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How do people manage virtual environments so that they don't take up too much space?
the way I manage (2) is with a kind of DIY pipenv system i've come up with. i have a tool installed in my terminal called autoenv. when i navigate to a new directory, if there's a .env file in it, autoenv executes it. that's basically all autoenv does. I have a .env in my home folder that, among other things, activates my "master" venv. when I create a new project that I want to have its own venv, I just add a .env file to that folder to activate it. otherwise, the master venv is active whenever I roam around my filesystem, functionally serving as a default environment i reuse.
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Introducing pyautoenv: Activate and deactive python environments as you move around the file system
Inspired by autoenv, pyautoenv hooks into the cd command in your shell and will automatically activate a poetry or venv Python environment if that environment is defined in the directory you're cd-ing into. Zsh, Bash, and PowerShell are supported.
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After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments
There is an autoenv tool you can use to automatically activate a python virtualenv when you cd into a directory but it’s a little annoying to set up https://github.com/hyperupcall/autoenv
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Repeatedly typing export FLASK_ENV=development and export FLASK_APP=hello.py before running flask
But IMO the best solution by far is to use autoenv. There is autoenv for bash and autoenv for zsh.
- How to activate an environment forever?
pipx
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Keep your AWS CLI config fresh with Cog
Use pipx to install Cog and my aws-sso-config-builder tool in the same environment:
- pipx
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Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
Given how useful pre-commit is across projects I generally recommend installing via pip install --user, making it part of a tooling virtual environment, or using pipx:
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pipx VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Pipx – Install and Run Python Applications in Isolated Environments
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Packaging a self contained CLI application for any environment?
I would recommend going with PipX. You toss in a setup.py file, put your project on github, and then anyone on any OS can pipx install your project. It's a glorious thing. The only thing they need is 1) some supported version of Python installed, 2) pipx installed. They can even get updates by calling pipx upgrade.
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Some confusion with system version and pyenv
See https://github.com/pypa/pipx/issues/278
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List of software package management systems
Good overview. There are quite a few on there I was not aware of. That said, I am not sure the organizational schema makes a tone of sense. I would assume most users that come across this would be looking for a package manager for a specific platform and then weighing the options of binary/source/etc., instead of the other way around.
Also, pipx (https://github.com/pypa/pipx) would be a good addition to the list. I'd add it but I'm not sure where it would go. Maybe every section? It's cross platform and handles both binary and source based app distributions.
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After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments
Pip is pretty simple and useful for me - you have your own environment for every script/program, requirements.txt is simple to understand too... It's kinda good solution for regular users... For more complex projects we have Poetry, PipX, that was inspired by NPM(x), I think...
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Apple Unveils MacBook Pro Featuring M2 Pro and M2 Max
What benefit would joining your cult bestow upon me that brew does not already?
My brew list is intentionally very short and my faffing about desire is limited.
Generally I use brew to pull in asdf (https://github.com/asdf-vm/asdf) to install programming languages/tooling, it works flawlessly.
I use Pipx (https://github.com/pypa/pipx) to install python thingies (such as yt-dlp) as a cli. Go and Rust handle binaries in their languages beautifully and without issues.
What are some alternatives?
Pipenv - Python Development Workflow for Humans.
Poetry - Python packaging and dependency management made easy
opstrat - Option visualization python package
pyenv - Simple Python version management
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
rez - An integrated package configuration, build and deployment system for software
dust - A more intuitive version of du in rust
virtualenvwrapper
private-pypi - private pypi server
virtualenv - Virtual Python Environment builder
Pyjion