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