andalus 0.1.2

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

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 [e-mail]: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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