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ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks
| Title: | ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks |
|---|---|
| Authors: | Sheeba Samuel and Birgitta König-Ries |
| Source: | Provenance Week 2021 |
| Place: | Provenance and Annotation of Data and Processes - 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021 |
| Date: | 2021-07-19 |
| Type: | Publication |
| Abstract: |
Computational notebooks have gained widespread adoption among researchers from academia and industry as they support reproducible science. These notebooks allow users to combine code, text, and visualizations for easy sharing of experiments and results. They are widely shared in GitHub, which currently has more than 100 million repositories, making it the world’s largest host of source code. Recent reproducibility studies have indicated that there exist good and bad practices in writing these notebooks, which can affect their overall reproducibility. We present ReproduceMeGit, a visualization tool for analyzing the reproducibility of Jupyter Notebooks. This will help repository users and owners to reproduce and directly analyze and assess the reproducibility of any GitHub repository containing Jupyter Notebooks. The tool provides information on the number of notebooks that were successfully reproducible, those that resulted in exceptions, those with different results from the original notebooks, etc. Each notebook in the repository, along with the provenance information of its execution, can also be exported in RDF with the integration of the ProvBook tool. |
| URL: | https://doi.org/10.1007/978-3-030-80960-7_12 |
| BibTex: |
@InProceedings{samuel2021ReproduceMeGit,
author="Samuel, Sheeba and K{\"o}nig-Ries, Birgitta",
editor="Glavic, Boris
and Braganholo, Vanessa
and Koop, David",
title="ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks",
booktitle="Provenance and Annotation of Data and Processes",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="201--206",
isbn="978-3-030-80960-7"
} |