The development of interactive visualization applications that are applicable to many real-world problems is a challenging affair. For every new project, developers need to follow the same repetitive steps of fetching the raw data, transforming the data into processable form, defining visual structures and then displaying them appropriately. To accelerate this, we propose the Versatile Visual Analytics Framework for Exploration and Research (VVAFER). VVAFER is planned to be an extensible visual analytics framework, upon which different applications can be developed with minimum overload at the development side. Through modular architecture, unified data formats, reusable templates and software components, developers will be able to quickly deploy and create their visualization applications by configuring existing templates with their own specific functionalities. In this paper, we describe our motivation for this future framework and its architectural design.
Moritz Zeumer, Jonas Gilg, Pawandeep Kaur Betz, Andreas Gerndt, "VVAFER — Versatile visual analytics framework for exploration and research" in Electronic Imaging, 2023, pp 402-1 - 402-9, https://doi.org/10.2352/EI.2023.35.1.VDA-402