<tt>CACHAI</tt>’s First Module: A Fully Customizable Chord Diagram for Astronomy and Beyond

Abstract We introduce Chord D iagram , the first module of Custom Axes and CHarts Advanced Interface (C achai ), a fully customizable visualization toolkit for P ython . Chord D iagram creates publication-ready chord diagrams with fine control over edge styles, node colors, and layout, addressing key limitations of existing tools. Features include per-element styling, correlation thresholding, targeted highlighting, adaptive node spacing, log-scaled link thickness, and more. While broadly applicable, we showcase its use in astronomy by visualizing (anti-)correlations among stellar parameters and kinematics. Chord D iagram forms the foundation of the C achai suite, available via pip ( https://pypi.org/project/cachai ), and at https://github.com/DD-Beltran-F/cachai , where the user can find a detailed documentation and examples.

Authors

Publication Details

Journal
Research Notes of the AAS
Published
2025-08-11
DOI
https://doi.org/10.3847/2515-5172/adf8df
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

<tt>CACHAI</tt>’s First Module: A Fully Customizable Chord Diagram for Astronomy and Beyond

M. L. L. Dantas, D. Beltrán
Research Notes of the AAS
Scientific Computing and Data Management
article

<tt>CACHAI</tt>’s First Module: A Fully Customizable Chord Diagram for Astronomy and Beyond

M. L. L. Dantas, D. Beltrán
article en

Abstract

Abstract We introduce Chord D iagram , the first module of Custom Axes and CHarts Advanced Interface (C achai ), a fully customizable visualization toolkit for P ython . Chord D iagram creates publication-ready chord diagrams with fine control over edge styles, node colors, and layout, addressing key limitations of existing tools. Features include per-element styling, correlation thresholding, targeted highlighting, adaptive node spacing, log-scaled link thickness, and more. While broadly applicable, we showcase its use in astronomy by visualizing (anti-)correlations among stellar parameters and kinematics. Chord D iagram forms the foundation of the C achai suite, available via pip ( https://pypi.org/project/cachai ), and at https://github.com/DD-Beltran-F/cachai , where the user can find a detailed documentation and examples.

Research Notes of the AASVol. 9(8)
Openalex Percentile: Top 80%
Scientific Computing and Data Management
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