A simple interface to cardiac cellular electrophysiology
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.
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 full details, see http://myokit.org/install.
After installation, to quickly test if Myokit works, type
python -m myokit run example
myokit run example
To open an IDE window, type
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-1.27.4-py2-none-any.whl (1.1 MB) Copy SHA256 hash SHA256||Wheel||py2||Aug 12, 2018|
|myokit-1.27.4.tar.gz (1.0 MB) Copy SHA256 hash SHA256||Source||None||Aug 12, 2018|