leafmap
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opengeos
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- https://jeodpp.jrc.ec.europa.eu/services/shared/voilalibrary/ - https://github.com/widgetti/ipyvuetify 
https://github.com/banesullivan/localtileserver-demo/blob/main/hillshade.ipynb
https://github.com/johannesuhl/shapefile2gif https://twitter.com/johanneshuhl1/status/1544430935772241920?s=21&t=DahVTb5ei3au52sbWm5vGw
ipybertin is a new mapping library. It would be great to add it as a new plotting backend. - https://github.com/davidbrochart/ipybertin - https://github.com/neocarto/bertin 
Reference: - https://leafmap.org/notebooks/40_plotly_gui - https://plotly.com/python/figurewidget-app
References: - https://github.com/makepath/xarray-spatial - https://xarray-spatial.org/
This feature allows creating plotly maps from vector data with one line of code.
It would be really cool to run `leafmap` on [Pyodide](https://pyodide.org) and hence [JupyterLite](https://github.com/jtpio/jupyterlite) using [micropip](https://pyodide.org/en/stable/usage/api/micropip-api.html). I gave it a try and found basically two issues with non-existing Python 3 source...
Download OSM data without coding.
### Description Create publication-quality maps with a scale bar, north arrow, and gridlines similar to geemap. Perhaps later, an inset map. variable distribution on the axes edges ### Source code...
