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Myokit: A simple interface to cardiac cellular electrophysiology
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README.md

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Myokit

Myokit is an open-source Python-based toolkit that facilitates modeling and simulation of cardiac cellular electrophysiology. It's hosted on GitHub and available on PyPi. For the latest documentation, see myokit.readthedocs.io.

More information, including examples and an installation guide, is available on myokit.org.

Install

To install Myokit, run

pip install myokit

On linux and windows, start menu icons can then be added by running

python -m myokit icons

To run single-cell simulations, CVODE must be installed (windows binaries are included in the pip install). In addition, Myokit needs a working C/C++ compiler to be present on the system.

For the graphical parts (such as the IDE) to work, you'll also need to have either PyQt4, PyQt5, or PySide installed (PySide2 is not yet supported).

For full details, see http://myokit.org/install.

Quick-start guide

After installation, to quickly test if Myokit works, type

python -m myokit run example

or simply

myokit run example

To open an IDE window, type

myokit ide

To see what else Myokit can do, type

myokit -h
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