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, using PyQt5 for Myokit's GUI components, run:
pip install myokit[pyqt]
to use PySide2 instead, run:
pip install myokit[pyside]
If you're not planning to use the GUI components (for example to run simulations on a server), you can simply install with
pip install myokit
On Linux and Windows, start menu icons can be added by running
python -m myokit icons
To run single-cell simulations, CVODE must be installed (but Windows users can skip this step, as binaries are included in the pip install). In addition, Myokit needs a working C/C++ compiler to be present on the system.
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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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size myokit-1.29.0-py2-none-any.whl (1.1 MB) | File type Wheel | Python version py2 | Upload date | Hashes View hashes |
| Filename, size myokit-1.29.0.tar.gz (1.1 MB) | File type Source | Python version None | Upload date | Hashes View hashes |
