JUPYTERLAB PLUGINS CODE

These examples illustrate how the new system, based on Continuum’s flexible PhosphorJS framework, gives us the foundation for a richer, cleaner UI. With a few clicks, you can reorganize the workspace to expose the Command Palette to access all JupyterLab functions, keeping the graphical console side-by-side with a text editor containing a Python script that you then %run from the console, producing inline figures: Here we see how you can arrange a notebook next to a graphical console (a web-based version of our standalone QtConsole) atop a terminal that is monitoring the system, while keeping the file manager on the left: While the system is still in alpha state and many features are missing, we can already see the kinds of user experiences it enables. So, in a collaborative effort between the Jupyter team, Tech at Bloomberg and Continuum Analytics, we set out to build a next-generation architecture to support all of the above tools, but with a flexible and responsive UI, offering user-controlled layout that could tie together our tools under a single roof.Ī detailed account of this collaboration between our teams is available at the Tech at Bloomberg Blog. Providing a more responsive and flexible UI atop the current codebase was difficult.

JUPYTERLAB PLUGINS CODE

This rich toolset evolved organically, driven by the needs of our users and developers, even if we kept the increasingly ill-fitting “Notebook” name for the whole thing.īut the underlying code was showing its age: it wasn’t the cleanest to extend and many APIs that were somewhat experimental and incomplete had become “official” by virtue of being used in the wild.

And that is just what ships “out of the box”, without counting the many third-party extensions for it. In reality, even today’s “Jupyter Notebook” is a bit of a misnomer: the Notebook application includes not only support for Notebooks but also a file manager, a text editor, a terminal emulator, a monitor for running Jupyter processes, an IPython cluster manager and a pager to display help. JupyterLab captures a lot of what we have learned from the usage patterns of the Notebook application over the last 5 years and seeks to build a clean and robust foundation that will let us not only offer an improved user interface and experience, but also a flexible and extensible environment for interactive computing.

Jupyterlab plugins