SUND (Simulation Using Nonlinear Dynamic models) simulation toolbox¶
SUND is a python package for object-oriented modelling of ODE and DAE based model. This toolbox allows for the development of models with complex inputs, or with hierarchical structures in a simple way. In practice, the models can be seamlessly connected by defining inputs and outputs in the models.
Installation¶
To install the package, the easiest way is to us the Python package manager pip. Simply install the package hosted on our homepage:
uv add https://isbgroup.eu/sund-toolbox/releases/sund-latest.tar.gz
pip install https://isbgroup.eu/sund-toolbox/releases/sund-latest.tar.gz
Getting started¶
Start by checking the information about the model format. Then, have a look at the examples of the toolbox functionality or some model examples.
To get an introduction to the usage of the package it is easiest to do the Python version of the Systems Biology lab, used in teaching in Gunnar Cedersund's group. There, a walk through of the basic functions of the package is explained.
Project origin¶
This toolbox started with a master's thesis written by the original developer of the package (Gustav Magnusson). His original documentation about the different parts of the package can be found in this Prezi presentation: https://prezi.com/view/nmi8brNW9edOAjcZphtX/