brutus
Et tu, Brute?
brutus is a Python package for Bayesian inference of stellar properties, distances, and extinctions from photometry. It supports individual star fitting, cluster analysis, and 3D dust mapping.
Documentation: brutus.readthedocs.io
Installation
pip install astro-brutus
Requires Python 3.9+ on Linux, macOS, or Windows with WSL.
Windows users: Due to the healpy dependency, brutus requires WSL (Windows Subsystem for Linux) on Windows.
Development Install
git clone https://github.com/joshspeagle/brutus.git
cd brutus
pip install -e ".[dev]"
Data Files
Download required stellar models and dust maps:
from brutus import fetch_grids, fetch_isos, fetch_dustmaps
fetch_grids() # MIST stellar grids
fetch_isos() # MIST isochrones
fetch_dustmaps() # 3D dust maps
Data files are also available from the Harvard Dataverse.
Citation
If you use brutus, please cite Speagle et al. (2025).
License
MIT License. See LICENSE for details.
Contact
- Author: Joshua S. Speagle (j.speagle@utoronto.ca)
- Issues: GitHub Issues
Acknowledgments
brutus uses MIST stellar evolution models and Bayestar dust maps. We thank the developers for making their data publicly available.
2 maintainers
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