cachai 0.1.4

Customizable visualization toolkit for science

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Welcome! cachai (Custom Axes and CHarts Advanced Interface) is a fully customizable Python visualization toolkit designed to deliver polished, publication-ready plots built on top of Matplotlib. Currently, the package includes the ChordDiagram module as its primary feature. For details on the toolkit's capabilities, motivations and future projections, refer to this paper.

The code documentation is currently hosted in Read the Docs. To contribute or report bugs, please visit the issues page.

Fun fact:

"Cachai" (/kɑːˈtʃaɪ/) is a slang word from Chilean informal speech, similar to saying "ya know?" or "get it?" in English. Don't know how to pronounce it? Think of "kah-CHAI" (like "cut" + "chai" tea, with stress on "CHAI").

Please visit the following links to learn more about cachai:

• Installation Guide
• Getting Started
• Examples

Installing cachai

All official releases of cachai are published on PyPI. To install, simply run:

pip install cachai

Requirements

cachai has been tested on Python >= 3.10.

This Python packages are mandatory:

• numpy >= 2.0.0
• matplotlib >= 3.9.0
• pandas >= 2.3.0
• scipy >= 1.13.0
• seaborn >= 0.12.0

Citing cachai

If cachai contributed to a project that resulted in a publication, please cite this paper.

Example citation format (bibtex):

@article{Beltrán_2025,
         doi       = {10.3847/2515-5172/adf8df},
         url       = {https://dx.doi.org/10.3847/2515-5172/adf8df},
         year      = {2025},
         month     = {aug},
         publisher = {The American Astronomical Society},
         volume    = {9},
         number    = {8},
         pages     = {216},
         author    = {Beltrán, D. and Dantas, M. L. L.},
         title     = {CACHAI’s First Module: A Fully Customizable Chord Diagram for Astronomy and Beyond},
         journal   = {Research Notes of the AAS},
}