deck.gl is a powerful WebGL-powered framework for visualizing large datasets in a 2D or 3D environment. It provides a set of customizable layers that allow developers to create complex visualizations with ease, making it an excellent choice for applications that require high-performance data visualization, especially in mapping and geospatial contexts. While deck.gl is a robust solution for data visualization, there are several alternatives in the ecosystem that cater to different needs and use cases. Here are a few notable alternatives:

• d3 is a widely-used JavaScript library for producing dynamic, interactive data visualizations in web browsers. It utilizes HTML, SVG, and CSS to bring data to life, offering a low-level API that gives developers complete control over the visualization process. While d3 can be more complex and requires a deeper understanding of web technologies, it is incredibly flexible and can be used to create a wide variety of visualizations, from simple charts to complex interactive graphics.
• leaflet is a leading open-source JavaScript library for mobile-friendly interactive maps. It is lightweight and easy to use, making it a popular choice for developers looking to integrate maps into their applications. Leaflet provides a simple API for adding markers, popups, and layers, making it suitable for applications that require basic mapping functionalities without the overhead of more complex libraries.
• mapbox-gl is a powerful JavaScript library for interactive, customizable maps powered by Mapbox. It allows developers to create visually stunning maps with vector tiles and WebGL rendering. Mapbox-gl is particularly well-suited for applications that require detailed and interactive mapping capabilities, making it a great alternative for projects that need advanced geospatial visualizations.
• plotly.js is a high-level, declarative charting library that enables the creation of interactive charts and graphs. It supports a wide range of chart types and is particularly useful for applications that require complex data visualizations, such as scientific and financial data. Plotly.js is a great choice for developers looking for a straightforward way to create interactive visualizations without diving deep into the intricacies of lower-level libraries.
• react-vis is a React-based library for creating data visualizations. It provides a set of reusable components that make it easy to build various types of charts and graphs. React-vis is ideal for developers who are already using React and want to quickly integrate visualizations into their applications without extensive configuration.
• victory is another React-based library for building interactive data visualizations. It offers a modular approach, allowing developers to create complex visualizations with ease. Victory is particularly well-suited for applications that require responsive and customizable charts, making it a good alternative for React developers focused on data visualization.

To explore how these libraries compare, check out the following link: Comparing d3 vs deck.gl vs leaflet vs mapbox-gl vs plotly.js vs react-vis vs victory.