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Friday, 26 May 2023

Uber开源的数据可视化框架deck.gl



deck.gl 是由 Uber 开源的基于 WebGL 的可视化图层。专门用于大规模探索和可视化数据集。提供了一组高性能的数据可视化叠加层。为数据可视化用例提供测试、高性能的图层,如 2 维和 3 维的散点图等。

deck.gl为用户专注于以下关键方面:

    性能:基于最新的WebGL技术,获得大数据集(数百万点或顶点)的高性能呈现,包括动态聚合和视觉探索等功能。
    精度:多亏我们定制的fp64数学库,在GPU上实现了高精度数值计算。据我们所知,当前基于WebGL的其他库并没有提供此功能,而该功能对地理数据集的完全交互至关重要。
    可扩展性:使用最新的编码标准,丰富的库生态系统,以及能够轻松地调试和分析WebGL应用程序的设置。

[repo owner=”uber” name=”deck.gl”]
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WebGL2 powered visualization framework

deck.gl

WebGL2-powered, highly performant large-scale data visualization

docs

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.

Flavors

Script Tag

<script src="https://unpkg.com/deck.gl@latest/dist.min.js"></script>

NPM Module

npm install deck.gl

Pure JS

React

Python

pip install pydeck

Third-Party Goodies

Learning Resources

Contributing

deck.gl is part of vis.gl, an OpenJS Foundation project. Read the contribution guidelines if you are interested in contributing.

Attributions

Data sources

Data sources are listed in each example.

The deck.gl project is supported by

BrowserStack

from https://github.com/visgl/deck.gl

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