Autonomous Visualization System (AVS) Launch
We’ve officially launched AVS, our web-based 3D visualization toolkit for building applications from self-driving and robotics data. This announcement represents the culmination of 2 years of collaboration between the Advanced Technologies Group (ATG) and Visualization teams at Uber. Read more in our Featured Story section below, as well as our recent article on the Uber Engineering Blog.
kepler.gl’s New Sharing Capabilities
New capabilities have been unlocked, enabling users to share their map data analysis with others quickly.
Sharing Maps Powered by Dropbox
We’re introducing Dropbox integration to the kepler.gl website to allow users to quickly create shareable links in their maps. The map data and configuration are stored on users’ Dropbox accounts, which allows users to manage their visualization data.
kepler.gl Dropbox Integration
Exporting as Single HTML File
kepler.gl Plugin for Tableau
The team is also working on allowing kepler.gl to be consumed by popular analytics tools such as Jupyter Notebook and Tableau. With these new functionalities, users will be able to import data from DataFrame, setting up map configurations and sharing their maps without leaving Jupyter Notebook and Tableau. To design the kepler.gl extension for Tableau, we’re working with Tableau Zen master Chris Demartini and Allan Walker from Mapbox. These features are in the final development stage and will be released in April 2019. Be on the lookout for an upcoming meetup at Mapbox during which we'll highlight these features!
kepler.gl Extension for Tableau
kepler.gl for Jupyter Notebook Python Package
Manifold is a model-agnostic visual debugging tool for machine learning developed by the team. It makes use of in-browser computation capacity of TensorFlow.js, and allows interactive dataset dissecting based on ML model prediction outcomes, helping ML practitioners to identify problematic data slices or feature values that contribute to a sub-ideal model performance, and thereby facilitate their model iteration process. Currently, the team is working on an external release of Manifold, in response to the numerous requests we received from the ML community since we published its method on Uber Engineering Blog.
deck.gl 6.4 Release
We released version 6.4 of deck.gl and luma.gl, the last milestone planned for the 6.x series visualization frameworks. The release includes enhancements to many core deck.gl layers. The Text Layer now supports better control of the font rendering quality, including font weight and raster size, as well as crisper font rendering at all zoom levels using the Signed Distance Field font rendering technique. The Scatterplot Layer now supports drawing both strokes and fills, and outline width can be controlled per-instance. The Contour Layer now supports rendering IsoBands in addition to IsoLines. We added support for flattened binary data to both Path and Polygon Layers. In addition to layer enhancements, this release included bug fixes and feature improvements in deck.gl’s Orthographic View for InfoVis use cases. See the full list of release highlights in the deck.gl What’s New and Upgrade Guide for more information.
H3 is an open source library for easily dividing the globe into a hierarchical grid of hexagons. We released H3 version 3.4.0, including support for drawing grid-based lines and getting the set of base cells (allowing efficient iteration of all indexes).