The openCARP simulation environment for cardiac electrophysiology

Background and Objective: Cardiac electrophysiology is a medical specialty with long rich tradition of computational modeling. Nevertheless, no community standard for cardiac simulation software has evolved yet. Here, we present the openCARP environment as one solution that could foster needs large parts this community. Methods Results: Python-based carputils framework allow developing sharing pipelines which automate in silico experiments including all modeling steps to increase reproducibility productivity. The continuously expanding user supported by tailored infrastructure. Documentation training material facilitate access complementary research tool new users. After brief historic review, paper summarizes requirements high-usability simulator describes how fulfills them. We introduce workflow multi-scale example atrial fibrillation simulations on single cell, tissue, organ body level finally outline future development potential. Conclusion: As an open simulator, can advance field making state-of-the-art accessible. In combination framework, it offers scientific contributes towards increasing use, transparency, standardization experiments.