ANDALUS

Applied Nuclear Data Assimilation using Least sqUareS

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

Features

• Perform sensitivity and uncertainty quantification suing first order approximation.
• Use the Generalized Linear Least Squares equation to infer multi-group nuclear data.

Documentation

Documentation is built with Sphynx 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

Development

To set up for local development:

# Clone your fork
git clone git@github.com:your_name_here/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.

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

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