Vega-Lite Ecosystem

This is an incomplete list of integrations, applications, and extensions of the Vega-Lite language and compiler. If you want to add a tool or library, edit this file and send us a pull request.

We mark featured plugins and tools with a .

Tools for Authoring Vega-Lite Visualizations

  • Vega-Editor, the online editor for Vega and Vega-Lite. You can also get an output Vega spec from a given Vega-Lite spec as well.
  • vega-desktop, a desktop app that lets you open .vg.json and .vl.json to see visualizations just like you open image files with an image viewer. This is useful for creating visualizations with Vega/Vega-Lite locally.
  • Voyager (2), visualization tool for exploratory data analysis that blends a Tableau-style specification interface (formerly Polestar) with chart recommendations (formerly the Voyager visualization browser) and generates Vega-Lite visualizations.
  • data.world Chart Builder, a chart builder that imports data from queries in data.world. The generated specs can be saved locally or uploaded back to data.world. Project is open source.
  • Vega Viewer and Vega Preview, Visual Studio Code extensions for viewing Vega and Vega-Lite visualizations.

Plug-ins for Vega-Lite

Bindings for Programming Languages

  • Altair exposes a Python API for building statistical visualizations that follows Vega-Lite syntax.
  • Elm-Vega generates Vega-Lite specifications in the pure functional language Elm.
  • Altair wrapper in R
  • ipyvega supports Vega and Vega-Lite charts in Jupyter Notebooks.
  • VegaLite.jl are Julia bindings to Vega-Lite
  • Vega-Lite “bindings” for R, create Vega-Lite visualizations in R.
  • vegaliteR, vega-lite htmlwidget for R.
  • Vegas brings visualizations to Scala and Spark using Vega-Lite.
  • vegawidget, low-level interface in R to render Vega and Vega-Lite specifications as htmlwidgets, including functions to interact with data, events, and signals in Shiny.
  • Hanami A Clojure(Script) library for creating domain specific interactive visualization applications. Exposes a parameterized template system that uses recursive transformation to finished Vega-Lite and Vega specs. Built with reagent (react) and re-com enabled.
  • Vizard tiny REPL client to visualize Clojure data in browser w/ Vega-Lite.
  • Oz is a Vega & Vega-Lite based visualization and scientific document toolkit for Clojure & ClojureScript (Reagent). Originally a fork of Vizard, Oz adds support for Vega, publishing/sharing, markdown & hiccup extensions for embedding Vega-Lite & Vega visualizations in html documents, static html output, and Jupyter notebooks.
  • Vizsla is a simple JavaScript API for Vega-Lite.

Programming / Data Science Environment that supports Vega-Lite

  • JupyterLab, an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.
  • nteract, interactive notebook application with Vega and Vega-Lite renderer.
  • Observable, an interactive JavaScript notebook. Embed example and exploration example.
  • data.world, upload .vg.json and .vl.json files along side your raw data, or embed Vega directly into comments and summary markdown.

Tools that use Vega-Lite

  • Lyra, an interactive, graphical Visualization Design Environment (VDE)
  • Saite Interactive exploratory graphics and ad hoc visualization application for Clojure(Script). Built on top of Hanami.
  • PdVega, lets you create interactive Vega-Lite plots for Pandas. Uses ipyvega.
  • Turi Create Apple’s tool to simplify the development of custom machine learning models.
  • mondrian-rest-ui, an experimental UI for mondrian-rest inspired by Polestar and CubesViewer.
  • Django Chartflo, charts for the lazy ones in Django
  • Vega-Lite for PowerBI is an example of a PowerBI custom visual built with Vega-Lite.
  • Sci-Hub stats browser provides coverage and usage statistics for Sci-Hub.
  • Iris, a conversational agent for data science.
  • dashcard: a simple Bootstrap-based UI for dynamic dashboarding using Vega-Lite and Mondrian via a REST API.
  • histbook, a versatile, high-performance histogram toolkit for Numpy.
  • Olmsted: a web application for biologists to explore and visualize the adapative immune system using deep sequenced B-cell receptor data. The app uses Vega’s interactive capabilities in the context of a React/Redux application to allow users to drill down into the data at multiple levels of granularity, and is currently being used by HIV researchers in the quest for a vaccine. Demo available here.

Tools for Embedding Vega-Lite Visualizations

  • Vega-Embed, a convenience wrapper for Vega and Vega-Lite.
  • Flourish - Visualization and Storytelling Platform
  • Visdown, a web app to create Vega-Lite visualizations in Markdown. Specs are written in YAML (not JSON) within code blocks.
  • vega-element is a Polymer web component to embed Vega or Vega-Lite visualization using custom HTML tags.
  • marked-vega is a Polymer web component to parse image/code markdowns into Vega and Vega-Lite charts.
  • gulp-marked-vega is a gulp plugin (comes with a cli tool also) to replace marked-vega markdown syntax with base64 embedded image tags, so that any standard markdown parser can render the Vega and Vega-Lite charts without modifying their render rules.
  • idyll-vega-lite is a component that allows you to embed Vega-Lite graphics inside of Idyll markup, an interactive markup language.
  • generator-veeg is a Vega and Vega-Lite boilerplate generator for Yeoman.