This feature is now released in the stable channel of Bonobo.
Jupyter plugin is bundled within the main bonobo package. To ensure optional dependencies are available, make sure you install it using the bonobo[jupyter] extra.
You should already be familiar with jupyter notebooks. If it's not the case, that may be not the page you're looking for.
Jupyter extension needs to be enabled before it is loaded in notebooks.
Creating an ETL job within a notebook is done exactly the same way you'd do it in a source file. Just add the right imports, create your graph, and use bonobo.run(graph) to execute it.
If bonobo can detect you're in a jupyter notebook, which it should, a jupyter widget will display statistics about your running transformation while it's executing. Read the full documentation of the plugin.
To use services in a notebook, you need to define a get_services() function that returns the usual dictionary of implementations (read about services in the documentation if you're not familiar with that), and just pass it to the bonobo.run(...) call.
As said, the widget is kind of minimalistic right now, but establish the basic infrastructure to be way better in the future. Amongst other things we're interested in, we'll at least implement the following:
If you're interested, feel free to contribute on this!