JupyterLab extensions are the key to customizing, enhancing, and scaling the Jupyter experience, whether you’re integrating domain-specific tools, adding new UI components or bridging frontend and backend workflows.
In this hands-on workshop, we’ll walk through the complete lifecycle of building a JupyterLab extension, from scaffolding and plugin architecture to packaging and publishing.
Participants will be exposed to basic and advanced extension development concepts: creating custom UI components, managing state and data, interfacing with other frontend and server extensions, and publishing extensions on PyPI. You’ll come away with the building blocks needed to begin your journey in developing extensions.
Together, we will create a basic extension from scratch, overview the landscape of extensions, explore advanced extensions (for example, JupyterGIS, providing real-time collaborative geospatial analysis in JupyterLab), and work on our own new extensions or contribute to existing extensions. After lunch we’ll show you how to use AI to rapidly prototype, iterate on complex features and ship production-ready extensions that solve real user problems.
By the end, you’ll have created multiple working extensions and the knowledge to bring your own ideas to life, contributing to the vibrant Jupyter ecosystem.