The first use case is to provide a backend for a particular JupyterLab or classic notebook extension.
There are two primary use cases for server extensions. Unlike JupyterLab or nbextensions, Jupyter Notebook Server extensions are written in Python to add some serverside functionality. Notebook Server Extensions (serverextension) My favorite nbextension provides a collapsible Table of Contents for your notebooks.
#JUPYTERLAB VIM INSTALL#
The Unofficial Jupyter Notebook extensions repository has a lot of popular extensions and a GUI extension manager you can use to install nbextensions.
#JUPYTERLAB VIM HOW TO#
The Jupyter Notebook documentation has information on how to install or develop extensions. They are the Classic Notebook equivalent to JupyterLab extensions. These are little bits of client-side JavaScript that allow you to add / change functionality as you wish. You can extend any aspect of the notebook user experience with nbextensions. When people think of ‘the notebook interface’, they are probably thinking of the classic Jupyter Notebook. My favorite JupyterLab extension is jupyterlab-vim - it lets you fully use Vim keybindings inside JupyterLab! Classic Notebook extensions (nbextension) Table of Contents nbextension You can also discover extensions by searching on GitHub or The JupyterLab documentation has information on how to install & use extensions, as well as how to author & distribute them. These are written in TypeScript or JavaScript, and run in the browser. Using JupyterLab extensions, you can add entirely new functionality or change almost any aspect of how the interface behaves. It is an interactive development environment for working with notebooks, code and data - and hence extremely extensible. JupyterLab is a popular ‘new’ interface for working with Jupyter Notebooks. JupyterLab extensions (labextension) Draw vector graphics in JupyterLab with the jupyterlab-drawio extension This blog post aims to provide a quick summary of the most common ways to extend Jupyter, and links to help you explore the extension ecosystem. The Jupyter ecosystem is very modular and extensible, so there are lots of ways to extend it. Whenever someone says ‘ You can do that with an extension’ in the Jupyter ecosystem, it is often not clear what kind of extension they are talking about.
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