Add Uber dataviz libaries

README.md

@@ -58,6 +58,7 @@ A curated list of awesome **open-source** data visualizations frameworks, librar
 ### Maps
 - [CARTO](https://github.com/CartoDB/cartodb) - CARTO is an open source tool that allows for the storage and visualization of geospatial data on the web.
 - [Cesium](https://github.com/AnalyticalGraphicsInc/cesium) - WebGL 3D globes and maps.
+- [Deck.gl](http://deck.gl/) - WebGL framework for visual exploratory data analysis of large datasets.
 - [DataMaps](https://github.com/markmarkoh/datamaps) - Interactive SVG maps using D3.js.
 - [Leaflet](http://leafletjs.com) - JavaScript library for mobile-friendly interactive maps.
 - [Mapael](https://github.com/neveldo/jQuery-Mapael) - jQuery plugin based on raphael.js to display vector maps.
@@ -146,6 +147,7 @@ Tools that are not tied to a particular platform or language.
 - [Charted](https://github.com/mikesall/charted) - A charting tool that produces automatic, shareable charts from any data file.
 - [Circos](http://circos.ca) - Visualizes data in a circular layout, ideal for exploring relationships between objects or positions. [Mirror on github](https://github.com/node/circos).
 - [Gephi](https://github.com/gephi/gephi) - An open-source platform for visualizing and manipulating large graphs
+- [Kepler.gl](http://kepler.gl/) - Geospatial analysis tool for large-scale data sets.
 - [Lightning](http://lightning-viz.org/) - A data-visualization server providing API-based access to reproducible, web-based, interactive visualizations.
 - [RAW](http://rawgraphs.io) - Create web visualizations from CSV or Excel files.
 - [Spark](https://github.com/holman/spark) - Sparklines for the shell. It have several [implementations in different languages](https://github.com/holman/spark/wiki/Alternative-Implementations).