Welcome to the Zoltar forecast archive, a website developed by the Reich Lab in the Department of Biostatistics and Epidemiology at the University of Massachusetts Amherst to create an archive of model forecast results along with tools to compare, etc.
Zoltar is a web application to develop ideas for a repository of model forecast results. Until now, predictions made by models have been stored in differing formats and locations. This complicates tracking, comparing, and revisiting forecasts. Zoltar supports storing, retrieving, comparing, and analyzing time series forecasts for prediction challenges of interest to the modeling community.
Please visit the Zoltar Documentation Site for more information, along with guides for users, researchers, and developers (including R and Python libraries for accessing the Zoltar API).
This work has been supported by the National Institutes of General Medical Sciences (R35GM119582). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIGMS, or the National Institutes of Health.
If you have questions about this site or want an account, please contact Professor Nicholas Reich (email@example.com>), director of the Reich Lab.