Popper is a tool for conducting scientific explorations and writing academic articles following a DevOps approach. Popper allows researchers to automate the execution and validation of (computational and data-intensive) experimentation workflows. To learn more about Popper you can:

We are currently working with researchers in many domains to create reusable Popper tasks and workflows. If you are interested in contributing but are not certain on how to start, please feel free to contact us.

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Popper is being developed at UC Santa Cruz and is supported in part by the National Science Foundation (awards OAC-1450488 and OAC-1836650), the Center for Research in Open Source Software (CROSS), Sandia National Laboratories, and Lawrence Livermore National Laboratory.

How to Cite Popper

Ivo Jimenez, Michael Sevilla, Noah Watkins, Carlos Maltzahn, Jay Lofstead, Kathryn Mohror, Andrea Arpaci-Dusseau and Remzi Arpaci-Dusseau. The Popper Convention: Making Reproducible Systems Evaluation Practical. In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 1561–70, 2017. https://doi.org/10.1109/IPDPSW.2017.157.

For BibTeX, click here.