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A Python library for fast, interactive geospatial vector data visualization in Jupyter.

Building on cutting-edge technologies likeGeoArrow andGeoParquet in conjunction withGPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface.

3 million points rendered from a GeoPandasGeoDataFrame in JupyterLab. Example notebook.

To install Lonboard using pip:

pip install lonboard

Lonboard is onconda-forge and can be installed usingconda,mamba, orpixi. To install Lonboard using conda:

conda install -c conda-forge lonboard

To install from source, refer to thedeveloper documentation.

For the simplest rendering, pass geospatial data into the top-levelviz function.

importgeopandasasgpdfromlonboardimportvizgdf=gpd.GeoDataFrame(...)viz(gdf)

Under the hood, this delegates to aScatterplotLayer,PathLayer, orPolygonLayer. Refer to thedocumentation andexamples for more control over rendering.

Refer to the documentation atdevelopmentseed.org/lonboard.

This is a new binding to thedeck.gl geospatial data visualization library. A "deck" is the part of a skateboard you ride on. What's a fast, geospatial skateboard? Alonboard.