In the context of data visualization and analysis of geospatial data is crucial to define a method to integrate various tools. The objective in this thesis is to visualize solar data which can be considered like a key factor in understanding and optimizing solar energy usage. This work explores the integration of GRASS GIS, GeoServer, MapStore, and Actinia to create a streamlined workflow for managing, processing, and visualizing solar data,through a web-based mapping platform. GRASS GIS is an open-source GIS software, employed to process spatial data. The core of this project is Actinia which is a cloud-based processing engine built to integrate GRASS GIS.