📄️ Getting started with Python
Python is the most popular language for Jupyter notebooks. To run Python code in JupyterLite, we recommend using the xeus-python kernel. This requires an environment with the kernel package installed.
📄️ Getting started with R in JupyterLite
The process for getting started with R follows the same general workflow as Getting Started with Python, with one key difference: you'll need the xeus-r kernel and R-specific packages in your environment.
📄️ Getting started with JupyterGIS
Notebook.link supports JupyterGIS as a first-class citizen of the platform, with a dedicated environment designed for geospatial workflows. The platform natively supports JupyterGIS projects, including interactive story maps for data-driven narratives and built-in STAC catalog support for discovering and working with spatiotemporal assets. This makes it easy to explore, visualize, and share rich geospatial experiences directly in the browser.