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

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Τίτλος: nub: A Rendering and Interaction Library for Visual Computing in Processing.
Συγγραφείς: Charalambos, Jean Pierre
Πηγή: Journal of Open Research Software; 2025, Vol. 13 Issue 1, p1-7, 7p
Θεματικοί όροι: Rendering (Computer graphics), Visual programming (Computer science), Visual communication, Computer systems, Open source software, Computer software, Application program interfaces
Περίληψη: 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Open Research Software is the property of Ubiquity Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: nub: A Rendering and Interaction Library for Visual Computing in Processing.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Charalambos%2C+Jean+Pierre%22">Charalambos, Jean Pierre</searchLink>
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  Data: Journal of Open Research Software; 2025, Vol. 13 Issue 1, p1-7, 7p
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  Data: <searchLink fieldCode="DE" term="%22Rendering+%28Computer+graphics%29%22">Rendering (Computer graphics)</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+programming+%28Computer+science%29%22">Visual programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+communication%22">Visual communication</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Application+program+interfaces%22">Application program interfaces</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Open Research Software is the property of Ubiquity Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 2025
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