JupyterGIS facilitates collaborative editing of GIS files, including the QGIS format, through a web-based interface built on JupyterLab. It also provides a programmatic interface tailored for Jupyter notebooks, making use of the advanced capabilities of the Jupyter rich display system.

In this presentation, we will first provide a high-level overview of the project’s main features.

We will then explore the latest developments, including the integration with the xarray stack and the Pangeo ecosystem, and the support for STAC geographical asset catalogs.

We conclude the talk with a forward-looking presentation of the ongoing development, such as the story maps feature, and the integration with the R programming language.