  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 largest host of
source code in the world. 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.
