”SciBlend: Advanced Data Visualization Workflows” by José Marín at Blender Conference 2025

Scientific data visualization is essential for analysis, communication, and storytelling in research. While Blender offers a powerful rendering engine and a flexible 3D environment, its steep learning curve and general-purpose interface can hinder scientific workflows.

To address this gap, José present SciBlend, a Python-based toolkit that extends Blender for data visualization, providing specialized tools for multiple computational data files import, annotation, shading, and scene composition, enabling both photorealistic (Cycles) and real-time (EEVEE) rendering of large-scale and time-varying data.

By combining a streamlined workflow with physically based rendering, SciBlend supports advanced visualization tasks while preserving essential scientific attributes. Comparative evaluations across multiple case studies show improvements in rendering performance, clarity, and reproducibility relative to traditional tools. This modular and user-oriented design offers a robust solution for creating publication-ready visuals of complex computational data.

Song: Odyssey
Composer: jiglr
Website: https://soundcloud.com/jiglrmusic
License: Creative Commons (BY-SA 3.0) https://creativecommons.org/licenses/by-sa/3.0/
Music powered by BreakingCopyright: https://breakingcopyright.com

–

Learn more about Blender Conference 2025 at https://conference.blender.org/2025/

#b3d #BCON25