π Modern Python project Cookiecutter template
Each time you start a new Python project, you shouldn't start from scratch. Ideally, you'd start with a standard project structure and set of tools and integrations to help facilitate writing quality Python code.
This modern Python Cookiecutter template is the tool that will help you do just that.
-
poetry
to manage dependencies -
structlog
for logging -
mypy
for static typing -
pytest
,hypothesis
,mutmut
for testingpytest-cov
for coverage reportspytest-mock
for mockspytest-xdist
for distributed testingpytest-randomly
to randomly order tests
-
tox
for testing automation -
sphinx
for docsmyst-parser
for markdown docs- selectable theme
-
pdb++
for debugging -
pre-commit
hooks with various hooks (mypy / black /ruff
/deptry
) -
dockerfile
for development, testing, and production -
dunamai
for versioning -
custom
Justfile
(runjust
) -
stay up-to-date w/ configured
dependabot
-
github-actions
with ci (leveragingtox
), publish to pypi workflows w/release-drafter
integration-
- optional
codecov
integration for code coverage
- optional
-
publish
workflow (to test.pypi.org / pypi.org) w/release-drafter
integration -
auto approve / merge
workflow -
with these additional workflows:
-
-
optional
direnv
.envrc (with pyenv layout)
Install Cookiecutter
poetry add cookiecutter
# pip install cookiecutter
# pipenv install cookiecutter
Optional: Install Cruft
poetry add cruft
# pip install cruft
# pipenv install cruft
cookiecutter gh:ryankanno/cookiecutter-py
Note: If you want to use the auto approve / merge Dependabot workflow, make
sure to create tags major
, minor
, patch
so that Dependabot can tag its
PRs. The workflow won't merge anything with a major
tag.
cruft create https://github.com/ryankanno/cookiecutter-py/
Coming soon to a README near you!
To build the container:
DOCKER_BUILDKIT=1 docker build .
To run the container (if you've installed the defaults):
docker run <image_id or tag> python -m surf.surf
If you enable the PyPi workflow, versioning will happen via dunamai
within the Github pipeline.
If instead, you prefer to version your package, please do it via poetry version $(dunamai from any)
as recommended in their documentation.
See the open issues for a list of proposed features (and known issues).
- add mutmut example to template
- add hypothesis example to template
- add licenses
- add typeguard
- version releases
- update docs
- include cookiecutter var descriptions
- update default/initial template doc structure
- add publish docs workflow
- investigate uv
- migrate to uv
- plan for 1.0
Contributions are very much appreciated.
- Fork the project
- Create your feature branch (
git checkout -b feature/new-cookiecutter-feature
) - Commit your changes (
git commit -m 'Added a new feature'
) - Push to the feature branch (
git push origin feature/new-cookiecutter-feature
) - Open a PR! π
Distributed under the MIT License. See LICENSE
for more information.
Ryan Kanno - @ryankanno
Project Link: https://github.com/ryankanno/cookiecutter-py