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purkinje-learning-myocardial-mesh

A Python library for modeling, manipulating, and analyzing Purkinje fiber networks embedded in myocardial meshes — useful in computational cardiology, electrophysiology modeling, and bioengineering research.


Features

  • Parse and manipulate myocardial mesh data
  • Integrate Purkinje network geometries
  • Designed for computational simulation environments
  • Structured for maintainability and versioned releases
  • Automated testing with pytest and CI-friendly config

Installation

pip install myocardial-mesh

For development:

pip install -e ".[dev]"

Dependencies and development requirements are managed via pyproject.toml.


Usage

Here’s a basic example (assumes functional API in myocardial_mesh or similar module):

from myocardial_mesh import load_mesh, attach_purkinje_network

mesh = load_mesh("data/mesh.vtk")
network = attach_purkinje_network(mesh)
network.simulate()

Versioning & Release

This project uses release-please to automate versioning and changelog generation.
Follow Conventional Commits to trigger releases.

Example commit:

feat: add new Purkinje-mesh attachment algorithm

License

This project is licensed under the terms of the MIT license.

Metadata

Release files for myocardial-mesh 0.1.1

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Source distribution for myocardial-mesh 0.1.1
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Built distribution (wheel)

Table of built distributions (wheels) for myocardial-mesh 0.1.1
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myocardial_mesh-0.1.1-py3-none-any.whl Python 3 none any Details for myocardial_mesh-0.1.1-py3-none-any.whl

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