WebGL2-powered, highly performant large-scale data visualization
deck.gl is designed to simplify high-performance, WebGL-based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leverage deck.gl's extensible architecture to address custom needs.
deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at them with views: e.g. map, first-person, orthographic.
deck.gl handles a number of challenges out of the box:
- Performant rendering and updating of large data sets
- Interactive event handling such as picking, highlighting and filtering
- Cartographic projections and integration with major basemap providers
- A catalog of proven, well-tested layers
Deck.gl is designed to be highly customizable. All layers come with flexible APIs to allow programmatic control of each aspect of the rendering. All core classes such are easily extendable by the users to address custom use cases.
npm install deck.gl
pip install pydeck
- deckgl-typings (Typescript)
- mapdeck (R)
- vega-deck.gl (Vega)
- earthengine-layers (Google Earth Engine)
- deck.gl-native (C++)
- deck.gl-raster (Computation on rasters)
- API documentation for the latest release
- Website demos with links to source
- Interactive playground
- deck.gl Codepen demos
- deck.gl Observable demos
- vis.gl Medium blog
- deck.gl Slack workspace
Data sources are listed in each example.