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Multiverse Notebook: A Notebook Environment for Safe and Efficient Exploration

Published:01 December 2022Publication History

ABSTRACT

Notebook environments are used widely in data analysis and machine learning because their interactive user interfaces fit well with exploratory tasks in these areas. However, the execution model of existing notebook environments is unsuitable for safe and efficient exploration because every code cell of a notebook runs in a single execution environment even for independent exploratory tasks, where unintended interference can arise among them. To resolve this problem, we developed Multiverse Notebook, a notebook environment that runs each cell in a separate execution environment and saves its execution state. In this poster, we present Multiverse Notebook and our techniques to reduce the application's time and space of Multiverse Notebook.

References

  1. João Felipe Pimentel, Leonardo Murta, Vanessa Braganholo, and Juliana Freire. 2019. A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks. In 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR). 507–517. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Nathaniel Weinman, Steven M. Drucker, Titus Barik, and Robert DeLine. 2021. Fork It: Supporting Stateful Alternatives in Computational Notebooks. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). 307:1–307:12. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Multiverse Notebook: A Notebook Environment for Safe and Efficient Exploration

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      • Published in

        cover image ACM Conferences
        SPLASH Companion 2022: Companion Proceedings of the 2022 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity
        November 2022
        83 pages
        ISBN:9781450399012
        DOI:10.1145/3563768
        • General Chair:
        • Alex Potanin

        Copyright © 2022 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 December 2022

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