Deck.gl: Large-scale Web-based Visual Analytics Made Easy
It addresses the problem of building complex visual analytics for users in data-intensive domains, but is incremental as it builds on existing visualization frameworks.
The paper presents deck.gl, an open-source framework for creating large-scale web-based visual analytics, developed from user interactions and applied to simplify data-heavy visualizations in real-world applications.
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.