Optimizing Canvas-Based Charting Libraries: Strategies for High Performance Rendering

Authors

  • Ravi Babu Dasari

Keywords:

Canvas rendering optimization, data visualization performance, immediate-mode graphics, interactive charting libraries, web-based visual analytics

Abstract

The use of canvas-based charting libraries has revolutionized web-based data visualization by allowinginteractive exploration of large datasets that are disruptive to the conventional style of rendering. Theoptimisation of performance in these systems covers the underlying issues such as overheads ofimmediate-mode rendering, complexity of memory management, hurdles of interactivity implementation, and cross-device compatibility

References

Alex Bekker, "Big Data Visualization: Value It Brings and Techniques It Requires," ScienceSoft, 2025. [Online]. Available: https://www.scnsoft.com/data/big-data-visualization-techniques

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Published

2026-01-05

How to Cite

Ravi Babu Dasari. (2026). Optimizing Canvas-Based Charting Libraries: Strategies for High Performance Rendering . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 65–75. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4610

Issue

Vol. 35 No. 1 (2026): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.