multiversum 0.1.0

A helper package to conduct multiverse analyses in Python

multiversum

multiversum is a package designed to make it easy to conduct multiverse analyses in Python. The package is intended to seemlessly integrate into a normal analysis or ML workflow and can also be added to an existing pipeline.

Installation

Install this library using pip:

pip install multiversum

Usage

The package always works with two different files: The multiversum.toml ✨️, specifying the different dimensions (and their options) and the universe.ipynb ⭐️ containing the actual analysis code. The universe file is then evaluated (in parallel) using different dimension-combinations.

An example using a machine learning workflow in scikit-learn can be found here.

Development

To contribute to this library, first checkout the code. Then create a new virtual environment:

cd multiversum
python -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

python -m pip install -e '.[test]'

To run the tests:

python -m pytest

Formatting

Ruff is used for formatting and linting. Formatting can be automatically checked / applied wherever possible via ruff check . --fix && ruff format.