Cardiac Electrophysiology

What is openCARP?

openCARP is an open cardiac electrophysiology simulator for in-silico experiments. Its source code is public and the software is freely available for academic purposes. openCARP is easy to use and offers single cell as well as multiscale simulations from ion channel to organ level. Additionally, openCARP includes a wide variety of functions for pre- and post-processing of data as well as visualization. The python-based CARPutils framework enables the user to develop and share simulation pipelines, i.e. automating in-silico experiments including all modeling/simulation steps.


openCARP online user meeting

This year's openCARP user meeting was held on 11th of November 2020 between 2 pm and 6 pm CET as an online workshop. We were overwhelmed by the participation of the community with more than 90 researchers joining.

Recordings of the plenary sessions are online in our openCARP YouTube channel. Mor...

User meeting now partly planned as online workshop

We are currently designing a concept of having some input that we have planned for our first user meeting (cancelled because of the CoViD-19 restrictions) as online workshop. We will inform you in more detail via the newsletter and on this news page when we have more detailed plans.

openCARP released

We have just released openCARP. Come and join our community!

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User Meeting

Due to the pandemic, we decided to have our yearly user meeting as online workshop. It will take place on 11 Nov 20 from 2 pm to 6 pm CET. Further information about the workshop can be found in the section openCARP user meeting. Stay informed and subsribe to our newsletter!

Quick facts

To ensure input compatibility with CARP/CARPentry allowing to reproduce a larger number of published studies, the user interface of openCARP has been designed to be backwards compatible, thus facilitating the re-use and replication of a large number of previous studies and carefully crafted in silico experiments. The underlying code basis has been redeveloped from scratch. As this software is a community project, you are welcome to contribute.

Our aim is to increase the productivity in our research field. We believe that you should invest your time in actually solving a scientific problem (rather than spending your precious time developing yet another simulator). With openCARP, you can import CellML-based EP models to avoid error-prone and time-demanding manual implementation. Additionally, we will offer the service to upload in silico experiments (based on CARPutils) of your published studies to share it with your colleagues for a more transparent and better reproducable cardiac modeling research.

The openCARP collaboration

The implementation of openCARP builds on two decades of experience gained from the proprietary predecessors, the Cardiac Arrhythmia Research Package (CARP) developed by Ed Vigmond and Gernot Plank and acCELLerate developed by Gunnar Seemann and Axel Loewe. Both simulators have been used in 100+ scientific studies. Gunnar Seemann (Freiburg, Germany) and Axel Loewe (Karlsruhe, Germany) received funding from the German Research Foundation (DFG) to develop a sustainable cardiac simulator. They asked Ed Vigmond (Bordeaux, France) and Gernot Plank (Graz, Austria) to join forces which they agreed to in March 2018. Since then, we have been developing openCARP and have released the first version in March 2020. Beside the four group leaders, the core developer Aurel Neic from NumeriCor joined the openCARP steering committee in November 2019.

Liryc KIT    UHZ Med-Uni-Graz numeriCor


If you use this software, please cite it as follows:

Plank, G., Loewe A., Neic. A et al. (2021). The openCARP Simulation Environment for Cardiac Electrophysiology. bioRxiv preprint, doi:10.1101/2021.03.01.433036

author = {Gernot Plank and Axel Loewe and Aurel Neic and Christoph Augustin and Yung-Lin Huang and Matthias A.F. Gsell and Elias Karabelas, Mark Nothstein, Jorge Sanchez and Anton J Prassl and Gunnar Seemann and Edward J Vigmond},
title = {The {openCARP} Simulation Environment for Cardiac Electrophysiology},
pages = {under review, bioRxiv preprint available},
doi = {10.1101/2021.03.01.433036}, 
year = {2021}

Please check this information regularly, the citation will be updated after peer review.

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