ipyflow 0.0.130

Fearless interactivity for Jupyter notebooks.

IPyflow

About

ipyflow (formerly nbsafety) is a next-generation Python kernel for Jupyter and other notebook systems that tracks dataflow relationships between symbols and cells during a given interactive session. Consider the following example:

When the first cell is rerun, the second cell now contains a reference to an updated f and is suggested for re-execution with a turquoise highlight. The third cell contains a reference to a stale y -- y is stale due to its dependency on an old value of f. As such, the third cell is marked as unsafe for re-execution with a red highlight. Once the second cell is rerun, it is now suggested to re-execute the third cell in order to refresh its stale output.

ipyflow 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, ipyflow 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

pip install ipyflow

Interface

The kernel ships with an extension that highlights cells with live references to stale symbols using red UI elements. It furthermore uses turquoise highlights for cells with live references to updated symbols, as well as for cells that resolve staleness.

Running

To run an ipyflow kernel in Jupyter, select "Python 3 (ipyflow)" from the list of notebook types in Jupyter's "New" dropdown dialogue. For JupyterLab, similarly select "Python 3 (ipyflow)" from the list of available kernels in the Launcher tab.

Uninstall

pip uninstall ipyflow

License

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

Contributors

Stephen Macke	Ray Gong	Shreya Shankar