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<p align="right"> <a href="https://npmjs.org/package/@luma.gl/core"> <img src="https://img.shields.io/npm/v/@luma.gl/core.svg?style=flat-square" alt="version" /> </a> <a href="https://github.com/visgl/luma.gl/actions?query=workflow%3Atest+branch%3Amaster"> <img src="https://github.com/visgl/luma.gl/workflows/test/badge.svg?branch=master" alt="build" /> </a> <a href="https://npmjs.org/package/@luma.gl.core"> <img src="https://img.shields.io/npm/dm/@luma.gl/core.svg?style=flat-square" alt="downloads" /> </a> <a href='https://coveralls.io/github/visgl/luma.gl?branch=master'> <img src='https://img.shields.io/coveralls/visgl/luma.gl.svg?style=flat-square' alt='Coverage Status' /> </a> </p> <h1 align="center">luma.gl | <a href="https://luma.gl">Docs</a></h1> <h5 align="center">luma.gl: High-performance Toolkit for WebGL-based Data Visualization</h5>

Overview

luma.gl is a GPU toolkit for the Web focused primarily on data visualization use cases. luma.gl aims to provide support for GPU programmers that need to work directly with shaders and want a low abstraction API that remains conceptually close to the WebGPU and WebGL APIs. Some features of luma.gl include:

Unlike other common WebGL APIs, the developer can choose to use the parts of luma.gl that support their use case and leave the others behind.

While generic enough to be used for general 3D rendering, luma.gl's mandate is primarily to support GPU needs of data visualization frameworks in the vis.gl suite, such as:

Installation, Running Examples etc

For details, please refer to the extensive online website.