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

Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface.

3 million points rendered from a GeoPandas GeoDataFrame in JupyterLab. Example notebook.


To install Lonboard using pip:

pip install lonboard

Lonboard is on conda-forge and can be installed using conda, mamba, or pixi. To install Lonboard using conda:

conda install -c conda-forge lonboard

To install from source, refer to the developer documentation.

Get Started

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

import geopandas as gpd
from lonboard import viz

gdf = gpd.GeoDataFrame(...)

Under the hood, this delegates to a ScatterplotLayer, PathLayer, or PolygonLayer. Refer to the documentation and examples for more control over rendering.


Refer to the documentation at

Why the name?

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