Cutting edge technology meets beautiful data visualization.
Industrial-grade frameworks to supercharge your next big idea.

Our Frameworks

A suite of open-source visualization frameworks

deck.gl

react first
A high-performance WebGL 2 rendering framework for big data visualizations that integrates perfectly with reactive applications.

luma.gl

pure javascript
A comprehensive set of WebGL 2 components targeting high-performance rendering and GPGPU computing.

react-map-gl

react only
A comprehensive React wrapper for mapbox-gl. Designed to work seamlessly as a basemap for geospatial visualizations.

react-vis

react only
A composable, deeply customizable charting library

Kepler.gl

Kepler.gl is a powerful web-based geospatial data analysis tool. Built on a high performance rendering engine and designed for large-scale data sets.

Visit Site

Movement

A free tool that shares dynamic insights about traffic and mobility in cities where Uber operates.

Visit Site

Uber Advanced Technologies Group

A platform that enables engineers and across ATG to quickly inspect, debug, and explore data collected by our self driving cars.

Read more

AVS

Autonomous Visualization System: a fast, powerful, web-based 3D visualization toolkit for building applications from autonomous and robotics data.

Read more

Vis Academy

Learn from the experts and get started quickly.

math.gl

react-first
A compact, modern, and well documented library targeting the needs of 3D graphics.

mjolnir.js

javascript
Management of browser events and gestures in a portable, modern way.

viewport-mercator-project

javascript
A library that collects 3D enabled web mercator projection math and tests.

probe.gl

javascript
JavaScript console instrumentation and benchmarking for browser and node.js

h3

c
javascript
A hexagonal hierarchical geospatial indexing system

nebula.gl

javascript
A suite of 3D-enabled data editing overlays, suitable for deck.gl

loaders.gl

javascript
A suite of framework-independent loaders (i.e. parsers) for 3D geometries and assets, as well as geospatial formats.