Vega-Lite Applications

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.

Plug-ins for Vega-Lite

• Tooltips for Vega and 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.
• Vega-Lite for Julia
• 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.
• Vizard tiny REPL client to visualize Clojure data in browser w/ Vega-Lite.
• oz Vega & Vega-Lite based visualization toolkit for Clojure & ClojureScript (fork of Vizard).
• to-vega is a simple JavaScript library for creating Vega-Lite specifications.

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. 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)
• 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.

Tools for Embedding Vega-Lite Visualizations

• Vega-Embed, a convenience wrapper for Vega and Vega-Lite.
• 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.