Python Snap Packaging — Core Concepts
What snaps are
Snaps are a universal Linux packaging format created by Canonical. A snap is a compressed SquashFS filesystem image containing your application, its runtime dependencies, and metadata. When installed, the snap is mounted read-only and runs in a sandboxed environment with controlled access to system resources.
For Python developers, snaps solve the “but it works on my machine” problem by bundling a specific Python version and all pip dependencies into a single distributable package.
The snapcraft.yaml file
Every snap project needs a snapcraft.yaml that describes how to build and package the application:
name: my-python-app
version: '1.0.0'
summary: A useful Python CLI tool
description: |
A longer description of what the tool does,
displayed in the Snap Store listing.
grade: stable # or 'devel' for pre-release
confinement: strict # sandboxed (recommended for store)
base: core22 # Ubuntu 22.04 runtime
apps:
my-python-app:
command: bin/my-python-app
plugs:
- network # Allow network access
- home # Allow access to ~/
parts:
my-python-app:
plugin: python
source: .
python-packages:
- requests
- click
Build the snap:
# Install snapcraft
sudo snap install snapcraft --classic
# Build
snapcraft
# Output: my-python-app_1.0.0_amd64.snap
How the Python plugin works
Snapcraft’s python plugin automates Python packaging:
- Installs Python from the base snap (core22 includes Python 3.10).
- Creates a virtual environment inside the snap.
- Installs your package using pip (reads
setup.py,pyproject.toml, or explicitpython-packages). - Bundles everything into the snap’s filesystem.
For projects using pyproject.toml:
parts:
my-app:
plugin: python
source: .
# Automatically reads pyproject.toml and installs the project
For requirements.txt-based projects:
parts:
my-app:
plugin: python
source: .
python-requirements:
- requirements.txt
Confinement and interfaces
Snaps run in a security sandbox. Your app gets access to resources through interfaces (called plugs and slots):
| Interface | What it allows |
|---|---|
network | Outbound network connections |
network-bind | Listen on ports (servers) |
home | Read/write to the user’s home directory |
removable-media | Access USB drives and mounted media |
desktop | Desktop integration (icons, notifications) |
x11 | Display windows using X11 |
apps:
my-server:
command: bin/my-server
daemon: simple # Run as a background service
plugs:
- network
- network-bind
Three confinement levels:
strict— full sandbox. Required for Snap Store publishing.devmode— sandbox violations are logged but allowed. Good for development.classic— no sandbox, full system access. Requires Snap Store approval.
Publishing to the Snap Store
# Register your snap name
snapcraft register my-python-app
# Login
snapcraft login
# Upload and release
snapcraft upload my-python-app_1.0.0_amd64.snap --release=stable
The Snap Store supports channels for release management:
edge— latest commits, possibly broken.beta— feature-complete but not fully tested.candidate— release candidate.stable— production-ready.
Users install from a channel:
sudo snap install my-python-app # stable (default)
sudo snap install my-python-app --channel=beta # beta
Automatic updates
One of snaps’ strongest features: automatic background updates. When you push a new version to the Snap Store, all installed instances update automatically within a few hours. Users do not need to do anything.
If an update causes problems, snaps support automatic rollback — the system reverts to the previous version.
When snaps make sense for Python apps
Good use cases:
- CLI tools you want to distribute broadly on Linux.
- Background services (daemons) that need auto-updates.
- Desktop applications with GUI that need system integration.
- DevOps tools deployed across many Linux servers.
Less ideal for:
- Libraries — snaps are for applications, not importable packages (use PyPI for those).
- macOS/Windows — snaps are Linux-only.
- Minimal containers — Docker images are better for container-native deployments.
Common misconception
“Snaps are just like Docker containers.”
While both provide isolation, they serve different purposes. Docker containers are for server workloads and typically run headless services. Snaps are for end-user software — they integrate with the desktop, appear in app launchers, handle auto-updates, and work with the user’s filesystem. A snap can be a GUI app, a CLI tool, or a daemon, all with desktop integration that Docker does not provide.
One thing to remember: Snaps give Python developers a path to distributing self-contained, auto-updating Linux applications through the Snap Store — with sandboxing that protects both the user’s system and your app from dependency conflicts.
See Also
- Python Appimage Distribution An AppImage is like a portable app on a USB stick — download one file, double-click it, and your Python program runs on any Linux computer without installing anything.
- Python Briefcase Native Apps Imagine a travel agent who repacks your suitcase for each country's customs — Briefcase converts your Python app into proper native packages for every platform.
- Python Flatpak Packaging Flatpak wraps your Python app in a safe bubble that works on every Linux system — like a snow globe that keeps your program perfect inside.
- Python Mypyc Compilation Your type hints are not just for documentation — mypyc turns them into speed boosts by compiling typed Python into fast C extensions.
- Python Nuitka Compilation What if your Python code could run as fast as a race car instead of a bicycle? Nuitka translates Python into C to make that happen.