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The application of data visualization to exploratory analysis has proven its effectiveness in different scientific fields. Unfortunately, each discipline suffers from specific problems, making it difficult to apply general solutions. VMetaFlow is a graphical meta-framework for our MEta Language for Visualization. It was created to facilitate the design of interactive coordinated views applications for visual exploration of data using different technologies. The platform is conceived as an abstraction layer placed over existing data visualization and processing environments, enabling their integration. The data analysis workflow can be seamlessly defined using data-flow diagrams (DFD). Unlike most data-flow diagram-based data mining applications, VMetaFlow allows users to include visualizations as part of the analysis process and not just as a tool to display final results.

VMetaFlow was designed to fulfill the following requirements:

Non-functional requirement:



Demo and Sources

GitHub repository: https://github.com/vg-lab/MeLVin

Development Team

Nicusor Cosmin-Toader: cosmin.toader |at| urjc.es
Marcos Garcia-Lorenzo: marcos.garcia |at| urjc.es


The research leading to these results has received funding from the following entities: The European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. HBP604102 (785907 - SGA2), the Spanish Government under grants C080020-09 (Cajal Blue Brain Project, Spanish partner of the Blue Brain Project initiative from EPFL) and TIN2017-83132-C2-1-R (VIANA).