GeoJupyter community meeting (2026-02-10)¶
Please add new agenda items under the New agenda items heading!
GeoJupyter handy links:
Attendees¶
Your name / GitHub ID / affiliation / icebreaker
Matt Fisher /
@mfisher87/ Schmidt DSEEsha / e5ha / UC Berkeley
Benny / benjaminszeghy / UC Berkeley
New agenda items¶
The idea: A toolkit for developers of Jupyter interactive map widgets (ipyleaflet, leafmap, folium, ipyopenlayers) to add support for visualizing Xarray datasets without writing to a file (the typical approach). Uses TiTiler (maybe eventually xpublish-tiles) to serve map tiles. Uses jupyter-server-proxy to enable the JS map app to access the tiles regardless of where Jupyter is running (needs testing).
Is this a good idea? Leafmap currently has tooling for visualizing Xarray datasets , but it seems to write the entire array to a memory file to make this work. Does the tiler approach work better on constrained systems (e.g. JupyterHub)?
Benny: E.g. on a 4GB JupyterHub instance, would the memory file approach crash the server?
Benny: Will find a huge raster for testing!
TODO: Compare with other approaches! geojupyter
/jupyter -xarray -tiler #22 Esha & Benny: Will try some other approaches together tomorrow!
Demo
More clear onramps for new community members
Common question: “I want to get involved, but I don’t know where to start!”
How can we better surface startable issues for new community members?
How can we better direct folks to this location ☝️ How can the website change to serve this need?