Deck.gl: Large-scale Web-based Visual Analytics Made Easy
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Abstract (arXiv)
In this paper, we demonstrate how deck.gl, an open-source project born out of data-heavy visual analytics applications, has grown into the robust visualization framework it is today. We begin by explaining why we built another data visualization framework in the first place. Then, we summarize our design goals (distilled from our interactions with users) and discuss how they guided the development of the framework's main features. We use two real-world applications of deck.gl to showcase how it can be applied to simplify the creation of data-heavy visualizations. We also discuss our lessons learned as we continue to improve the framework for the larger visualization community.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Oct 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1.
2 papers.
- 2025A Review on Large Language Models for Visual Analytics19 Mar 2025
- 2022Exploring Descriptions of Movement Through Geovisual Analytics1 Mar 2022