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Myokit: A simple interface to cardiac cellular electrophysiology

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Myokit

Myokit is an open-source Python-based toolkit that facilitates modeling and simulation of cardiac cellular electrophysiology.

For details and downloads, see myokit.org

For the latests documentation, see docs.myokit.org

Please note: The github repository contains the development version of Myokit, official releases are found here.

Quick-start guide

To install Myokit, follow the guidelines on the download pages.

After installation, to quickly test if Myokit works, open a terminal or command window, navigate to the myokit directory and type

python myo run example

To open an IDE window, type

python myo

To see what else the myo script can do, type

python myo -h

Adding icons etc.

If you're a Gnome or KDE user, you may wish to install a Myokit icon to your menu, add the mime-type information for Myokit .mmt files or add syntax highlighting for gtksourceview (Gedit). Scripts to do this are located in

./install/gnome-kde

Windows users can install icons using the Myokit installer for Windows.

Using Myokit as a library

If you want to be able to access Myokit from outside the Myokit directory (so that import myokit will work in any Python program), run:

python setup.py develop

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  • Python 85.0%
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  • C++ 2.5%
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