Skip to content
forked from vega/vega-lite

A concise grammar of interactive graphics, built on Vega.

License

Notifications You must be signed in to change notification settings

sfjun/vega-lite

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Vega-Lite

npm version codecov code style: prettier JSDevlivr

Teaser

Vega-Lite provides a higher-level grammar for visual analysis that generates complete Vega specifications.

You can find more details, documentation, examples, usage instructions, and tutorials on the Vega-Lite website.

Try using Vega-Lite in the online Vega Editor.

Contributions are also welcome. Please see CONTRIBUTING.md for contribution and development guidelines and our Code of Conduct.

Read about future plans in our roadmap.

Team

The development of Vega-Lite is led by the alumni and members of the University of Washington Interactive Data Lab (UW IDL), including Kanit "Ham" Wongsuphasawat (now at Apple), Dominik Moritz (now at Apple), Arvind Satyanarayan (now at MIT), and Jeffrey Heer (UW IDL).

Vega-Lite gets significant contributions from its community--in particular Will Strimling, Yuhan (Zoe) Lu, Souvik Sen, Chanwut Kittivorawong, Matthew Chun, Akshat Shrivastava, Saba Noorassa, Sira Horradarn, Donghao Ren, and Halden Lin. Please see the contributors page for the full list of contributors.

Citing Vega-Lite

@article{2017-vega-lite,
  doi = {10.1109/tvcg.2016.2599030},
  year = {2017},
  author = {Arvind Satyanarayan and Dominik Moritz and Kanit Wongsuphasawat and Jeffrey Heer},
  title = {Vega-Lite: A Grammar of Interactive Graphics},
  journal = {{IEEE} Transactions on Visualization \& Computer Graphics (Proc. InfoVis)},
  url = {http://idl.cs.washington.edu/papers/vega-lite},
}

About

A concise grammar of interactive graphics, built on Vega.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • TypeScript 96.7%
  • HTML 1.1%
  • Other 2.2%