{ "info": { "author": "Remi Rampin, Fernando Chirigati, Dennis Shasha, Juliana Freire", "author_email": "reprozip-users@vgc.poly.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering", "Topic :: System :: Archiving" ], "description": "ReproZip\n========\n\n`ReproZip `__ is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).\n\nreprozip-jupyter\n----------------\n\nThis package provides tracing and reproduction of Jupyter notebooks, allowing one to pack all the libraries and data used in their notebook to allow anyone to re-run it easily.\n\nYou can use it from the command-line::\n\n # Trace & pack\n $ reprozip-jupyter trace mynotebook.ipynb\n $ reprozip pack notebook_environment.rpz\n\n # Unpack and reproduce\n $ reprounzip docker setup notebook_environment.rpz /tmp/notebook\n $ reprozip-jupyter run /tmp/notebook\n\nOr you can pack directly from the Jupyter notebook interface, if you enable the extension::\n\n $ jupyter nbextension install --py reprozip_jupyter --user\n $ jupyter nbextension enable --py reprozip_jupyter --user\n $ jupyter serverextension enable --py reprozip_jupyter --user\n\nPlease refer to `reprozip `__ and `reprounzip `_ for more information.\n\nAdditional Information\n----------------------\n\nFor more detailed information, please refer to our `website `_, as well as to our `documentation `_.\n\nReproZip is currently being developed at `NYU `_. 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