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).
FAQs
Persistent homology of chromatic Delaunay filtrations
We found that chalc demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
