You can use Black within a GitHub Actions workflow without setting your own Python environment. Great for enforcing that your code matches the Black code style.
This action is known to support all GitHub-hosted runner OSes. In addition, only published versions of Black are supported (i.e. whatever is available on PyPI).
Finally, this action installs Black with the colorama extra so the --color flag
should work fine.
Create a file named .github/workflows/black.yml inside your repository with:
name: Lint
on: [push, pull_request]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- uses: psf/black@stableWe recommend the use of the @stable tag, but per version tags also exist if you prefer
that. Note that the action's version you select is independent of the version of Black
the action will use.
The version of Black the action will use can be configured via version or read from
the pyproject.toml file. version can be any
valid version specifier
or just the version number if you want an exact version. To read the version from the
pyproject.toml file instead, set use_pyproject to true. This will first look into
the tool.black.required-version field, then the dependency-groups table, then the
project.dependencies array and finally the project.optional-dependencies table. The
action defaults to the latest release available on PyPI. Only versions available from
PyPI are supported, so no commit SHAs or branch names.
If you want to include Jupyter Notebooks, Black must be installed with the jupyter
extra. Installing the extra and including Jupyter Notebook files can be configured via
jupyter (default is false).
You can also configure the arguments passed to Black via options (defaults to
'--check --diff') and src (default is '.'). Please note that the
--check flag is required so that the workflow fails if Black
finds files that need to be formatted.
Here's an example configuration:
- uses: psf/black@stable
with:
options: "--check --verbose"
src: "./src"
jupyter: true
version: "21.5b1"If you want to match versions covered by Black's
stability policy, you can use the compatible release operator
(~=):
- uses: psf/black@stable
with:
options: "--check --verbose"
src: "./src"
version: "~= 22.0"If you want to read the version from pyproject.toml, set use_pyproject to true.
Note that this requires Python >= 3.11, so using the setup-python action may be
required, for example:
- uses: actions/setup-python@v5
with:
python-version: "3.13"
- uses: psf/black@stable
with:
options: "--check --verbose"
src: "./src"
use_pyproject: true