Installation

voiage can be installed from PyPI using pip, or directly from the source code if you want the latest development version or intend to contribute.

Prerequisites

Python 3.10-3.14.
pip and setuptools (usually included with Python).

We recommend using a virtual environment (e.g., via venv or conda) to manage project dependencies.

Using pip (Recommended)

For the current published release, install it from PyPI using:

pip install voiage

A full development installation can be done by cloning the repository and installing the dev dependencies: .. code-block:: bash

git clone https://github.com/edithatogo/voiage.git cd voiage uv sync –extra dev

Dependencies

voiage relies on the following core libraries: * NumPy, SciPy, Pandas, and xarray for data structures and numerical computing. * NumPyro for Bayesian modeling. * scikit-learn and statsmodels for statistical modeling and machine learning. * Typer for the command-line interface.

Examples and validation notebooks are available under examples/.