Install and Run Python Applications in Isolated Environments
pipx — Install and Run Python Applications in Isolated Environments
Source Code: https://github.com/pipxproject/pipx
For comparison to other tools including pipsi, see Comparison to Other Tools.
python3 -m pip install --user pipx python3 -m pipx ensurepath
Upgrade pipx with
python3 -m pip install -U pipx.
Shell completions are available by following the instructions printed with this command:
For more details, see the installation instructions.
Overview: What is
pipx is a tool to help you install and run end-user applications written in Python. pipx is not a tool for development or publishing of your code -- it's only for consuming already published packages.
If you are familiar macOS's
pip, it's kind of like that but is only focused on installing packages that have entry points.
pipx does not ship with pip, but installing it is often an important part of bootstrapping your system.
Python and PyPI allow developers to distribute code with "console script entry points". These scripts let users call into Python code from the command line, effectively acting like standalone applications.
pipx is a tool to install and run any of these thousands of Python applications available on PyPI in a safe, convenient, and reliable way. In a way, it turns Python Package Index (PyPI) into a big app store for Python applications. Not all Python packages have entry points, but many do.
pipx is not a tool to install a library and
import it in your Python code.
pipx enables you to:
- Safely install packages to isolated environments, while globally exposing their CLI entry points so you can run them from anywhere (see the
installcommand). This guarantees no dependency conflicts and clean uninstalls!
- Easily list, upgrade, and uninstall packages that were installed with pipx
- Run the latest version of a Python application in a temporary environment (see the
Best of all, pipx runs with regular user permissions, never calling
sudo pip install (you aren't doing that, are you? 😄).
Walkthrough: Installing a Package and its Applications With
You can globally install an application by running
pipx install PACKAGE
This automatically creates a virtual environment, installs the package, and adds the package's associated applications (entry points) to a location on your
PATH. For example,
pipx install pycowsay makes the
pycowsay command available globally, but sandboxes the pycowsay package in its own virtual environment. pipx never needs to run as sudo to do this.
>> pipx install pycowsay installed package pycowsay 2.0.3, Python 3.7.3 These apps are now globally available - pycowsay done! ✨ 🌟 ✨ >> pipx list venvs are in /home/user/.local/pipx/venvs apps are exposed on your $PATH at /home/user/.local/bin package pycowsay 2.0.3, Python 3.7.3 - pycowsay # Now you can run pycowsay from anywhere >> pycowsay mooo ____ < mooo > ==== \ \ ^__^ (oo)\_______ (__)\ )\/\ ||----w | || ||
Walkthrough: Running an Application in a Temporary, Sandboxed Environment
I find this handy when I occasionally run an app and want to use the latest version of it, but don't necessarily need it installed on my computer. You may want to do this when you are initializing a new project and want to set up the right directory structure, when you want to view the help text of an application, or if you simply want to run an app in a one-off case.
For example, the blog post How to set up a perfect Python project uses
pipx run to kickstart a new project withcookiecutter.
A nice side benefit is that you don't have to remember to upgrade the app it since
pipx run will automatically run a recent version for you.
Okay, let's see what this looks like in practice!
pipx run APP [ARGS...]
This will install the package in an isolated, temporary directory and invoke the app. Try it!
pipx run pycowsay moo
Notice that you don't need to execute any install commands to run the app.
Re-running the same app is quick because pipx caches Virtual Environments on a per-app basis. The caches only last a few days, and when they expire, pipx will again use the latest version of the package. This way you can be sure you're always running a new version of the package without having to manually upgrade.
You can run .py files directly, too.
pipx run https://gist.githubusercontent.com/cs01/fa721a17a326e551ede048c5088f9e0f/raw/6bdfbb6e9c1132b1c38fdd2f195d4a24c540c324/pipx-demo.py pipx is working!
"I'm a big fan of pipx. I think pipx is super cool."
"Thanks for improving the workflow that pipsi has covered in the past. Nicely done!"
"This tool filled in the gap that was missing with pipenv and Virtual Environmentwrapper."
pipx was inspired by pipsi and npx.
- Bjorn Neergaard
- Diego Fernandez
- Jason R. Coombs
- Paul Moore
- Tzu-ping Chung
- Shawn Hensley
Logo by @IrishMorales.
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