lonboard0.12.1
Published
Fast, interactive geospatial data visualization in Jupyter.
pip install lonboard
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Requires Python
>=3.10
Dependencies
- anywidget
~=0.9.0 - arro3-compute
>=0.4.1 - arro3-core
>=0.4.1 - arro3-io
>=0.4.1 - geoarrow-rust-core
>=0.5.2 - ipywidgets
>=7.6.0 - numpy
>=1.14 - pyproj
>=3.3 - traitlets
>=5.7.1 - typing-extensions
>=4.6.0; python_version < "3.12" - click
>=8.1.7; extra == "cli" - pyogrio
>=0.8; extra == "cli" - shapely
>=2; extra == "cli" - geopandas
>=0.13; extra == "geopandas" - pandas
>=2; extra == "geopandas" - shapely
>=2; extra == "geopandas" - movingpandas
>=0.17; extra == "movingpandas"
Lonboard
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.
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.
