A Cookiecutter template for building Python apps that will run under Linux, packaged as an AppImage.
The easiest way to use this project is to not use it at all - at least, not
directly. Briefcase is a tool that
uses this template, rolling it out using data extracted from a
pyproject.toml
configuration file.
However, if you do want use this template directly...
Install cookiecutter. This is a tool used to bootstrap complex project templates:
$ pip install cookiecutter
Run
cookiecutter
on the template:$ cookiecutter https://github.com/beeware/briefcase-linux-appimage-template
This will ask you for a number of details of your application, including the name of your application (which should be a valid PyPI identifier), and the Formal Name of your application (the full name you use to describe your app). The remainder of these instructions will assume a name of
my-project
, and a formal name ofMy Project
.Obtain a Python Linux support package for x86_64, and extract it into the
My Project/My Project.AppDir/usr
directory generated by the template. This will give you a self-contained Python install. If installed correctly, there should be aMy Project/My Project.AppDir/usr/bin/python3
binary, as well as some other Python-related files.Alternatively, you can download the `Python-Linux-support`_ project, and build your own versions of these frameworks. You will need to do this if you need to build for an architecture other than x86_64.
Add your code to the template, into the
My Project/My Project.AppDir/usr/app
directory. At the very minimum, you need to have anapp/<app name>/__main__.py
file that defines an entry point that will start your application.If your code has any dependencies, they should be installed into the
My Project/My Project.AppDir/usr/app_packages
directory.
If you've done this correctly, a project with a formal name of My Project
,
with an app name of my-project
should have a directory structure that
looks something like:
My Project/ My Project.AppDir/ usr/ app/ my_project/ __init__.py __main__.py app.py app_packages/ ... bin/ python3 ... lib/ ... share/ ... com.example.my-project.desktop briefcase.toml
This directory can then be compiled into an AppImage using linuxdeploy. Download the linuxdeploy AppImage, and make the binary executable:
$ chmod +x linuxdeploy-x86_64.AppImage
Then compile your AppDir directory (substituting your release version number):
$ VERSION=1.2.3 ./linuxdeploy-x86_64.AppImage --appdir=My\ Project/My\ Project.AppDir -o appimage -d My\ Project/My\ Project.AppDir/com.example.my-project.desktop
This will produce My Project-1.2.3-x86_64.AppImage
. This image can given
to any other Linux user, and should run without installing any other
dependencies.
Of course, running Python code isn't very interesting by itself.
To do something interesting, you'll need to work with the native system libraries to draw widgets and respond to user input. The GTK+ GUI library provides Python bindings that you can use to build a user interface. Alternatively, you could use a cross-platform widget toolkit that supports Windows (such as Toga) to provide a GUI for your application.
If you have any external library dependencies (like Toga, or anything other
third-party library), you should install the library code into the
app_packages
directory. This directory is the same as a site_packages
directory on a desktop Python install.