Skip to main content

A simple interface to cardiac cellular electrophysiology

Project description

travis appveyor codecov Documentation Status

Myokit

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 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

Project details


Download files

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page