A simple interface to cardiac cellular electrophysiology
Project description
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).
Existing Myokit installations can be upgraded using
pip install --upgrade myokit
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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