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A WebGL2-powered, highly performant framework for large-scale data visualization.
npm install deck.gl
deck.gl offers an extensive catalog of pre-packaged visualization "layers", including ScatterplotLayer, ArcLayer, TextLayer, GeoJsonLayer, etc. The input to a layer is usually an array of JSON objects. Each layer offers highly-flexible API to customize how the data should be rendered.
Example constructing a deck.gl ScatterplotLayer:
import {ScatterplotLayer} from '@deck.gl/layers';
/**
* data is an array of object in the shape of:
* {
* "name":"Montgomery St. (MONT)",
* "address":"598 Market Street, San Francisco CA 94104",
* "entries":"43430",
* "exits":"45128",
* "coordinates":[-122.401407,37.789256]
* }
*/
const scatterplotLayer = new ScatterplotLayer({
id: 'bart-stations',
data: 'https://github.com/visgl/deck.gl-data/blob/master/website/bart-stations.json',
getRadius: d => Math.sqrt(d.entries) / 100,
getPosition: d => d.coordinates,
getColor: [255, 228, 0],
});
import DeckGL from 'deck.gl';
<DeckGL width="100%" height="100%" longitude={-122.4} latitude={37.78} zoom={8} controller={true} layers={[scatterplotLayer]} />
import {Deck} from '@deck.gl/core';
const deck = new Deck({
container: document.body,
width: '100vw',
height: '100vh',
longitude: -122.4,
latitude: 37.78,
zoom: 8,
controller: true,
layers: [scatterplotLayer]
});
Questions? Submit an issue on our GitHub page.
FAQs
A suite of 3D-enabled data visualization overlays, suitable for react-map-gl
The npm package deck.gl receives a total of 109,494 weekly downloads. As such, deck.gl popularity was classified as popular.
We found that deck.gl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 10 open source maintainers collaborating on the project.
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