Tea is a high-level language and runtime system
for automatically selecting and executing valid statistical tests.
Peruse through community examples.
Research publications and presentations
Watch the longer research talk on Tea at Microsoft Research. August, 2019.
The development of Tea is led by Eunice Jun (UW), Rene Just (UW), Jeffrey Heer (UW), and Emery Berger (UMass Amherst).
Tea benefits from significant contributions from its active community, including Marcin Malinowski, Melissa Birchfield, and others.
Previous contributors and collaborators include Maureen Daum (UW), Jared Roesch (UW), Sarah Chasins (UC Berkeley), and Katharina Reinecke (UW).
If you would like to collaborate, please get in touch!
Join us in the Tea Room to discuss issues, plan future development, share your experiences, and to just chat!