andalus 0.1.1

Applied Nuclear Data Assimilation using Least sqUareS (ANDALUS) is an Open Source data assimilation tool for improving predictions of nuclear applications.

ANDALUS

Applied Nuclear Data Assimilation using Least sqUareS (ANDALUS) is an Open Source data assimilation tool for improving predictions of nuclear applications.

• Created by Daan Houben
  • PyPI: https://pypi.org/user/daan1392/
• PyPI package: https://pypi.org/project/andalus/
• Free software: MIT License

Features

• TODO

Documentation

Documentation is built with Zensical and deployed to GitHub Pages.

• Live site: https://daan1392.github.io/andalus/
• 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/andalus.git
cd andalus

# 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 andalus.

Run tests:

uv run pytest

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

just qa

Author

ANDALUS was created in 2026 by Daan Houben.

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