@tom_doerr: https://deck.gl maps raw data into stacks of visual layers, streamlining the creation of high-performance, interactive …
Summary
deck.gl is a GPU-powered framework that enables the creation of high-performance, interactive spatial visualizations for large datasets through composable visual layers.
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https://t.co/DF4053ZHwL maps raw data into stacks of visual layers, streamlining the creation of high-performance, interactive spatial visualizations for large datasets.
https://t.co/6K1XFb3P2A https://t.co/znSKgUWmh1
Home | deck.gl
Source: https://deck.gl/
deck.gl is a GPU-powered framework for visual exploratory data analysis of large datasets.
A Layered Approach to Data Visualization
deck.gl allows complex visualizations to be constructed by composing existing layers, and makes it easy to package and share new visualizations as reusable layers. We already offer acatalog of proven layersand we have many more in the works.
High-Precision Computations in the GPU
By emulating 64 bit floating point computations in the GPU, deck.gl renders datasets with unparalleled accuracy and performance.
React Friendly
deck.gl APIs are designed to reflect the reactive programming paradigm. Whether using Vanilla JS or the React interface, it can handle efficient WebGL2/WebGPU rendering under heavy data load.
Integration with Base Map Providers
While deck.gl works standalone without a base map, it plays nicely with your favorite base map libraries such as Google Maps, Mapbox, ArcGIS, MapLibre, and more. Where the base map library permits, deck.gl may interleave with 3D map layers to create seamless visualizations.
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