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.

• uv to manage dependencies

• structlog for logging

• mypy for static typing

• pytest, hypothesis, mutmut for testing

  • pytest-cov for coverage reports
  • pytest-mock for mocks
  • pytest-xdist for distributed testing
  • pytest-randomly to randomly order tests

• tox for testing automation

• sphinx for docs

  • myst-parser for markdown docs
  • selectable theme

• pdbp for debugging

• konch for shell configuration w/ ipython support

• pre-commit hooks with comprehensive tooling:

  • uv-lock for dependency management
  • mypy for type checking
  • ruff for linting and formatting
  • black for code formatting
  • blacken-docs for formatting code in docs
  • isort for import sorting
  • bashate for shell script linting
  • commitlint for commit message standards
  • detect-secrets for secret detection
  • typos for spell checking
  • deptry for dependency validation

• dockerfile for development, testing, and production

• dunamai for versioning

• custom Justfile (run just)

• stay up-to-date w/ configured dependabot

• github-actions with ci (leveraging tox), publish to pypi workflows w/ release-drafter integration

  • ci workflow (leveraging tox)

    • optional codecov integration for code coverage

  • publish workflow (to test.pypi.org / pypi.org) w/ release-drafter integration

  • auto approve / merge workflow

  • with these additional workflows:

    • codeql for security analysis
    • hadolint for Dockerfile linting
    • pr-size-labeling for PR size classification
    • pr-labeler for automated PR labeling
    • commitlint for commit message validation
    • trufflehog for secret scanning
    • docs for documentation publishing
    • release-drafter for automated release notes

• optional direnv .envrc (with use uv layout)

Install Cookiecutter

uv add cookiecutter
# pip install cookiecutter
# pipenv install cookiecutter

Optional: Install Cruft

uv 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/

The template includes a comprehensive Justfile with the following commands:

Development:

• just install - Install dependencies using uv
• just clean - Remove all build, test, and documentation artifacts

Testing & Quality:

• just tests - Run all tests (fast, no coverage)
• just tests -- path/to/test.py - Run specific tests
• just tests -- --durations=10 - Show slow test durations
• just coverage - Run tests with comprehensive coverage analysis
• just lint - Run all linting checks via tox
• just lint --fix - Auto-fix linting issues where possible
• just pre-commit - Run pre-commit hooks

Documentation & Distribution:

• just docs - Build Sphinx documentation
• just dist - Build distribution packages

Utilities:

• just tox -- <args> - Run tox with custom arguments
• just watch <recipe> - Watch files and re-run commands on changes (with desktop notifications)

All commands use uv as the package manager and integrate with tox environments for consistency.

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 uv 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
• add publish docs workflow
• update default/initial template doc structure
• investigate uv
• migrate to uv
• finalize v1.0.0

Contributions are very much appreciated.

1. Fork the project
2. Create your feature branch (git checkout -b feature/new-cookiecutter-feature)
3. Commit your changes (git commit -m 'Added a new feature')
4. Push to the feature branch (git push origin feature/new-cookiecutter-feature)
5. Open a PR! 🎆

Distributed under the MIT License. See LICENSE for more information.

Ryan Kanno - @ryankanno

Project Link: https://github.com/ryankanno/cookiecutter-py