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).
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
myokit run example
To open an IDE window, type
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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|myokit-1.28.0-py2-none-any.whl (1.1 MB) Copy SHA256 hash SHA256||Wheel||py2|
|myokit-1.28.0.tar.gz (1.1 MB) Copy SHA256 hash SHA256||Source||None|