exoatlas: friendly Python code for exoplanet populations
Instrumentation and Methods for Astrophysics
2025-07-04 v1 Earth and Planetary Astrophysics
Solar and Stellar Astrophysics
Abstract
Planets are complicated. Understanding how they work requires connecting individual objects to the context of broader populations. Exoplanets are easier to picture next to their closest Solar System archetypes, and planets in the Solar System are richer when seen alongside a growing community of known exoplanets in the Milky Way. The `exoatlas` toolkit provides a friendly Python interface for retrieving and working with populations of planets, aiming to simplify the process of placing worlds in context.
Keywords
Cite
@article{arxiv.2507.02210,
title = {exoatlas: friendly Python code for exoplanet populations},
author = {Zach K. Berta-Thompson and Patcharapol Wachiraphan and Autumn Stephens and Mirielle Caradonna and Catriona Murray and Valerie Arriero and Jackson Avery and Girish M. Duvvuri and Sebastian Pineda},
journal= {arXiv preprint arXiv:2507.02210},
year = {2025}
}
Comments
Submitted to the Journal of Open Source Software. Please try it at https://zkbt.github.io/exoatlas/ and submit GitHub Issues with bugs or suggestions for improvement!