AirField 0.3.1

Dataclasses that describe how Pydantic model fields should be presented in any UI context: web forms, CLI prompts, data tables, notebooks, API docs, charts.

AirField

Dataclasses that describe how Pydantic model fields should be presented in any UI context: web forms, CLI prompts, data tables, notebooks, API docs, charts.

• GitHub: https://github.com/feldroy/AirField/
• PyPI package: https://pypi.org/project/AirField/
• Created by: Audrey M. Roy Greenfeld | GitHub https://github.com/feldroy | PyPI https://pypi.org/user/audreyr/
• Free software: MIT License

Features

• TODO

Documentation

Documentation is built with Zensical and deployed to GitHub Pages.

• Live site: https://feldroy.github.io/AirField/
• Preview locally: just docs-serve (serves at http://localhost:8000)
• Build: just docs-build

API documentation is auto-generated from docstrings using mkdocstrings.

Docs deploy automatically on push to main via GitHub Actions. To enable this, go to your repo's Settings > Pages and set the source to GitHub Actions.

Development

To set up for local development:

# Clone your fork
git clone [e-mail]:your_username/AirField.git
cd AirField

# Install in editable mode with live updates
uv tool install --editable .

This installs the CLI globally but with live updates - any changes you make to the source code are immediately available when you run airfield.

Run tests:

uv run pytest

Run quality checks (format, lint, type check, test):

just qa

Author

AirField was created in 2026 by Audrey M. Roy Greenfeld.

Built with Cookiecutter and the audreyfeldroy/cookiecutter-pypackage project template.