nub: A Rendering and Interaction Library for Visual Computing in Processing

The nub library is introduced as an open-source tool for rendering and interaction in the Processing language. Designed for visual computing research, it features a functional and declarative API that simplifies the creation of hierarchical node trees. By decoupling rendering from interaction, the library supports customizable workflows for diverse scenarios, including multi-view scene management, view-frustum culling, gesture-based navigation, and shadow mapping. Seamless integration with Processing ensures compatibility across desktop, Python, and Android platforms. Rich examples and detailed documentation demonstrate its capabilities, making it accessible to researchers, educators, and creative programmers. The framework’s extensibility and focus on usability provide a robust foundation for teaching and experimentation in visual computing.

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Publication Details

Journal
Journal of Open Research Software
Published
2025-01-01
DOI
https://doi.org/10.5334/jors.477
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

nub: A Rendering and Interaction Library for Visual Computing in Processing

Jean Pïerre Charalambos
Journal of Open Research Software
Computer Graphics and Visualization Techniques
article

nub: A Rendering and Interaction Library for Visual Computing in Processing

Jean Pïerre Charalambos
article en

Abstract

The nub library is introduced as an open-source tool for rendering and interaction in the Processing language. Designed for visual computing research, it features a functional and declarative API that simplifies the creation of hierarchical node trees. By decoupling rendering from interaction, the library supports customizable workflows for diverse scenarios, including multi-view scene management, view-frustum culling, gesture-based navigation, and shadow mapping. Seamless integration with Processing ensures compatibility across desktop, Python, and Android platforms. Rich examples and detailed documentation demonstrate its capabilities, making it accessible to researchers, educators, and creative programmers. The framework’s extensibility and focus on usability provide a robust foundation for teaching and experimentation in visual computing.

Journal of Open Research SoftwareVol. 13
Universidad Nacional de Colombia (CO)
Openalex Percentile: Top 90%
Computer Graphics and Visualization Techniques
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