JupyterGIS released version 0.16 with collaborative editing for maps and story presentations, support for remote processing through openEO, and new geospatial data formats. The update lets multiple users edit the same map and narrative document simultaneously while visualizing large datasets without downloading them locally.

• Real-time collaborative editing now works for both Story Maps (narrative presentations) and vector layer data, with changes synced instantly across users
• OpenEO integration lets you visualize remote processing pipelines directly as map layers without exporting intermediate results, using tile-based lazy loading
• New symbology model based on Grammar of Graphics provides flexible styling for visual properties like color, size, and opacity instead of fixed options
• Added support for GeoZarr (cloud-native multidimensional datasets) and GeoPackage formats, plus an R API for building geospatial workflows outside Python