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Welcome to the reVISit project. Our goal is to develop the infrastructure to democratize, accelerate, and advance our ability to conduct crowdsourced studies to evaluate visualization systems.
This project is a joint research and development effort between the University of Utah, Worcester Polytechnic Institute, and the University of Toronto. We receive funding by the National Science Foundation.
The main project page is at https://revisit.dev/.
You can check out a demo of various studies at https://revisit.dev/study/.
The main repository you might care about if you want to create a study is https://github.com/revisit-studies/study/
If you want to create your own study, we recommend using the template: https://github.com/revisit-studies/template/
If you're looking for the reVISit python bindings go to https://github.com/revisit-studies/revisitpy.
If you are using reVISit for a paper, please cite:
Zach Cutler, Jack Wilburn, Hilson Shrestha, Yiren Ding, Brian Bollen, Khandaker Abrar Nadib, Tingying He, Andrew McNutt, Lane Harrison, Alexander Lex. ReVISit 2: A Full Experiment Life Cycle User Study Framework. IEEE Transactions on Visualization and Computer Graphics (VIS), 32(1): 13-23, doi:10.1109/TVCG.2025.3633896, 2026.
We'll happily accept community contributions. Open an issue or a pull request to help us out!
Learn how to get help with your reVISit study. In brief, here are tutorials, reference documentation, and our Slack team to get help from actual humans!.
Create your own study by cloning and editing configs; or check out the code behind the study components.
Template repository for reVISit studies to be forked from
Python package for running simple revisit server to use with the `revisit-py` python package.
This is a reVISit variation study of JND(Just Noticeable Difference) experiment.
This organization has no public members. You must be a member to see who’s a part of this organization.
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