myokit 1.28.0

A simple interface to cardiac cellular electrophysiology

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[Myokit](http://myokit.org) is an [open-source](https://github.com/MichaelClerx/myokit/blob/master/LICENSE.txt) Python-based toolkit that facilitates modeling and simulation of cardiac cellular electrophysiology. It’s hosted on [GitHub](https://github.com/MichaelClerx/myokit/) and available on [PyPi](https://pypi.org/project/myokit/). For the latest documentation, see [myokit.readthedocs.io](https://myokit.readthedocs.io/).

More information, including examples and an installation guide, is available on [myokit.org](http://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](https://computation.llnl.gov/projects/sundials/sundials-software) 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 full details, see [http://myokit.org/install](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

Note that you’ll need to have either PyQt4, PyQt5, or PySide installed for the IDE to work.

To see what else Myokit can do, type

myokit -h