SVEDV
SVEDV (Surface Value Embedded Data Visualization) is an open‑source software platform designed for the interactive exploration of volumetric and surface data across scientific and engineering domains. Developed by the Visualization Laboratory at the University of Meridian, the project was first released as a research prototype in 2017 and has since evolved into a stable, cross‑platform toolkit. The core architecture leverages WebGL for efficient GPU‑accelerated rendering and exposes an API that can be accessed directly from Python, MATLAB, and JavaScript environments, making it accessible to both researchers and application developers.
A major milestone in SVEDV’s development was the release of version 2.0 in 2020, which introduced a
SVEDV has been adopted in several research groups, particularly in neuroimaging, where it is used to visualize