Lonboard
Fast, interactive geospatial data visualization in Jupyter.
Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard enables visualizing large geospatial datasets interactively through a simple interface.
3 million points rendered from a GeoPandas GeoDataFrame in JupyterLab. Example notebook.
Install
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(...)
viz(gdf)
Under the hood, this delegates to a ScatterplotLayer, PathLayer, or PolygonLayer. Refer to the documentation and examples for more control over rendering.
Documentation
Refer to the documentation at developmentseed.org/lonboard.
Why the name?
This is a new binding to the deck.gl geospatial data visualization library. A "deck" is the part of a skateboard you ride on. What's a fast, geospatial skateboard? A lonboard.
Illustration by Gus Becker.
1 maintainer
Metadata
1 maintainer
Release files for lonboard 0.17.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lonboard-0.17.0.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lonboard-0.17.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / lonboard-0.17.0.tar.gz
| Download URL | lonboard-0.17.0.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / lonboard-0.17.0-py3-none-any.whl
| Download URL | lonboard-0.17.0-py3-none-any.whl |
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| Size | 1.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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