Magnetic point group (MPG) tensor analysis toolkit

The pythmpg package provides tools for enumerating symmetry properties of all 122 magnetic point groups (MPGs), and for counting the number of independent components of arbitrary-rank tensors under those symmetries as classified by their Jahn symbol.

A major feature of the package is its ability to export data in the form of a .csv file that can be used to build a spreadsheet capable of screening for MPGs based on whether they have certain symmetries or support specified tensor properties. A broader community of users can then use standard spreadsheet tools, such as sorting on columns and hiding columns and rows, to achieve similar ends, without the need to access the Python codes themselves.

Resources

• Source: https://github.com/pythmpg/pythmpg
• Documentation: https://pythmpg.readthedocs.io/en/latest/
• Zenodo Repository: https://zenodo.org/records/18672613

Installation

PythMPG is available through PyPI.

pip install pythmpg

To install from source in editable mode:

git clone https://github.com/pythmpg/pythmpg.git
cd pythmpg
pip install -e .

PythMPG ≥ 1.0.0 requires Python ≥ 3.12 and the core dependency:

• numpy ≥ 2.0

Citation

If you use the code in your paper, please cite us

@software{Urru_Python_Magnetic_Point_2026,
author = {Urru, Andrea and Birol, Turan and Cole, Trey and Vanderbilt, David},
doi = {10.5281/zenodo.18672613},
license = {GPL-3.0-or-later},
month = jun,
title = {{Python Magnetic Point Group (PythMPG)}},
url = {https://zenodo.org/records/18672613},
version = {1.0.0},
year = {2026}
}