Vega & Vega-Lite
Visualization Grammars

Vega is a declarative format for creating, saving, and sharing visualization designs. With Vega, visualizations are described in JSON, and generate interactive views using either HTML5 Canvas or SVG.
new Vega 3.0 is a visualization grammar, a declarative language for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas or SVG.
new Vega-Lite 2.0 is a high-level visualization grammar. It provides a concise JSON syntax for supporting rapid generation of visualizations to support analysis. Vega-Lite 2 support interactive multi-view graphics. Specifications can be compiled to Vega.
Lyra is an interactive environment that enables custom visualization design. Without writing any code, designers can create visualizations on-par with hand-coded D3 and Processing.
Polestar is a web-based visualization specification interface, inspired by Tableau. Analysts can rapidly generate visualizations as part of the data exploration process.
Voyager is a visualization browser for open-ended data exploration. It provides a gallery of recommended visualizations, produced by Compass visualization recommender engine.
Compassql is a visualization recommendation engine. Given user query, it suggests visualizations, ranked by both data properties and perceptual principles.

Datalib is a JavaScript data utility library. It provides facilities for data loading, type inference, common statistics, and string templates. This is a standalone library useful for data-driven JavaScript applications on both the both the client (web browser) and server (e.g., node.js).

Vega's 3rd Party Integration

ggvis is a data visualization package for R that renders web-based visualizations using Vega. It features a syntax similar in spirit to ggplot2.

Vega.jl uses the Julia programming language to generate spec-compliant Vega 2.x visualizations. Vega.jl is integrated with Jupyter Notebook, and provides a high-quality visualization experience for scientific computing.

The MediaWiki Graph extension allows you to embed Vega visualizations on MediaWiki sites, including Wikipedia.

Cedar integrates Vega with the GeoServices from ArcGIS. It adds templated documents for reusable charts that programatically bind to new data sources.