gdtm86 / vega

A visualization grammar.

Vega: A Visualization Grammar

Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG.

For documentation, tutorials, and examples, see the Vega website. For a description of changes between Vega 2 and Vega 3, please refer to the Vega 3 Porting Guide. Additional API documentation for Vega 3 can be found in the associated modules listed below.

Are you using Vega in a web application built with a bundler such as Webpack or Browserify? If so, and you do not need server-side rendering support, you might prefer using vega-lib to include Vega in your app.

Basic Setup

For a basic setup allowing you to build Vega and run examples:

• Clone https://github.com/vega/vega.
• Run yarn to install dependencies. If you don't have yarn installed, see https://yarnpkg.com/en/docs/install.
• If you do not wish to install yarn, you can alternatively run npm install. However, you will not be guaranteed to have dependencies matching those of the current release.
• Once installation is complete, use npm run test to run tests and npm run build to build output files.

This repo (vega) includes web-based demos within the test folder. To run these, launch a local webserver in the top-level directory for the repo (e.g., python -m SimpleHTTPServer 8000 for Python 2, python -m http.server 8000 for Python 3) and then point your browser to the right place (e.g., http://localhost:8000/test/).

This repo also includes the website and documentation in the docs folder. To launch it, run bundle install and bundle exec jekyll serve in the docs folder. The last command launches a local webserver. Now, you can open http://127.0.0.1:4000/vega/ to see the website.

Development Setup

For a more advanced development setup in which you will be working on multiple modules simultaneously, first clone the relevant Vega 3 modules. Here is a list of all Vega 3 repositories:

• https://github.com/vega/vega
• https://github.com/vega/vega-canvas
• https://github.com/vega/vega-crossfilter
• https://github.com/vega/vega-dataflow
• https://github.com/vega/vega-encode
• https://github.com/vega/vega-event-selector
• https://github.com/vega/vega-expression
• https://github.com/vega/vega-force
• https://github.com/vega/vega-geo
• https://github.com/vega/vega-hierarchy
• https://github.com/vega/vega-loader
• https://github.com/vega/vega-parser
• https://github.com/vega/vega-projection
• https://github.com/vega/vega-runtime
• https://github.com/vega/vega-scale
• https://github.com/vega/vega-scenegraph
• https://github.com/vega/vega-statistics
• https://github.com/vega/vega-transforms
• https://github.com/vega/vega-util
• https://github.com/vega/vega-view
• https://github.com/vega/vega-view-transforms
• https://github.com/vega/vega-voronoi
• https://github.com/vega/vega-wordcloud

Though not strictly required, we recommend using npm link to connect each local copy of a repo with its 'vega-' dependencies. That way, any edits you make in one repo will be immediately reflected within dependent repos, accelerating testing.

For example, to link vega-dataflow for use by other repos, do the following:

# register a link to vega-dataflow
cd vega-dataflow; npm link
# update vega-runtime to use the linked version of vega-dataflow
cd ../vega-runtime; npm link vega-dataflow
# update vega to use the linked version of vega-dataflow
cd ../vega; npm link vega-dataflow

Once links have been setup, you can use npm install as usual to gather all remaining dependencies.