jupyterlab-nbsafety v0.0.87

nbsafety

About

nbsafety adds a layer of protection to computational notebooks by solving the stale dependency problem, a problem which exists due to the fact that notebooks segment execution into "cells" with implicit dependencies amongst themselves. Here's an example in action:

nbsafety accomplishes its magic using a combination of a runtime tracer (to build the implicit dependency graph) and a static checker (to provide warnings before running a cell), both of which are deeply aware of Python's data model. In particular, nbsafety requires minimal to no changes in user behavior, opting to get out of the way unless absolutely necessary and letting you use notebooks the way you prefer.

Install

To install, grab the package and install the Jupyter kernel spec as follows:

pip install nbsafety
python -m nbsafety.install

Running

Because nbsafety is implemented as a custom Jupyter kernel, it works for both Jupyter notebooks and JupyterLab. To run an nbsafety kernel, select "Python 3 (nbsafety)" from the list of notebook types in Jupyter's "New" dropdown dialogue:

For JupyterLab, similarly select "Python 3 (nbsafety)" from the list of available kernels in the Launcher tab:

Uninstall

In addition to pip uninstall nbsafety, it is also necessary to deregister the kernel from Jupyter for a full uninstall:

jupyter kernelspec uninstall nbsafety

License

Code in this project licensed under the BSD-3-Clause License.