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Tools to work with Jupyter notebooks

Project description

  • validate: validate notebooks

  • head: show head or tail of notebooks

  • dump: dump notebook info and source on terminal

  • stats: summarize notebooks with statistics

  • view: view notebook, including all embedded images, LaTeX, and HTML in a browser

  • cat: catenate multiple notebooks

  • clean: clean notebooks by removing specified elements

  • run: execute notebooks, with pre/post cleaning

  • split: split notebooks into MarkDown, code, and raw

  • punch: punch holes into notebooks and fill them (for creating exercises)

Available as library functions and as configurable command-line scripts.


pip install nbtoolbelt


To Appear on Read the Docs (once the repo becomes public). For the moment, use the -h or --help option on the command line.


On the command line:

nbtb [-h] [options] tool [options] nb.ipynb ...

As library: see documentation


pip install nbtoolbelt[test]

nbtoolbelt comes with a set of automatic test cases for pytest.


Some useful commands, and where to run them:

  • In nbtoolbelt/docs/,

    • clean build directory: make clean

    • create html documentation tree: make html

    • create pdf documentation: make latexpdf

    • determine size of documentation: wc `find . -name '*.rst'`

  • In nbtoolbelt/test/,

    • run all test cases: pytest .

  • In nbtoolbelt/,

    • test package configuration: python check

    • create source distribution and wheel: python sdist bdist_wheel

  • In nbtoolbelt/src/,

    • determine size of code: wc `find . -name '*.py'`


Copyright (c) 2017 - Eindhoven University of Technology, The Netherlands

This software is made available under the terms of the MIT License.


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