University of Applied Sciences St. Pölten Prototype and Demo of the SoniScope prototype SoniScope is the prototypical implementation of a concept for audio-visual analysis of multivariate data, running inside Jupyter. It combines a scatterplot with an interactive parameter mapping sonification, thereby conveying additional information about items that were selected with a visual lens. SoniScope provides several options for the shape of its lens and the sorting of the selected items for subsequent sonification. Non-visible attributes are sonified via pitch and onset times of 0D auditory marks. For the SoniScope framework, we present a system architecture built on the basis of three well-established software frameworks: Project Jupyter for data analysis, D3.js for visualization, and SuperCollider for sonification. This contains a Jupyter notebook, a python package with a Jupyter widget, its source code, and demo data. Setup instructions can be found in README.md. en research Data sonification visualization visual analytics audio-visual analytics prototype Jupyter Enge, Kajetan (St. Pölten University of Applied Sciences) Rind, Alexander (St. Pölten University of Applied Sciences) Iber, Michael (St. Pölten University of Applied Sciences) Höldrich, Robert (St. Pölten University of Applied Sciences) Aigner, Wolfgang (St. Pölten University of Applied Sciences)