Persistent homology of chromatic Delaunay filtrations

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  • License: GNU General Public License v3 or later (GPLv3+) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc...)
  • Author: Abhinav Natarajan
  • Tags topological data analysis, TDA, chromatic Delaunay, computational geometry, computational topology, persistent homology
  • Requires: Python >=3.12
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Chalc

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Chalc is a Python package to compute chromatic Delaunay filtrations from labelled datasets in Euclidean space. Chromatic Delaunay filtrations are a family of combinatorial objects that capture spatial relations among the classes of a labelled dataset. You can find more details on the math behind chromatic Delaunay filtrations in the following papers:

Chromatic Alpha Complexes
Morse Theory for Chromatic Delaunay Triangulations

For instructions on how to install and use chalc, read the documentation.

[!IMPORTANT] Since the release of NumPy 2.0, versions of chalc older than 2.0.0 won't work correctly. This is due to a bug in these package versions related to dependency specification. If you are using an older version of chalc, please make sure to install a compatible version of NumPy (≥ 1.24.2 and < 2.0.0).

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  • License: GNU General Public License v3 or later (GPLv3+) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc...)
  • Author: Abhinav Natarajan
  • Tags topological data analysis, TDA, chromatic Delaunay, computational geometry, computational topology, persistent homology
  • Requires: Python >=3.12
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