Skip to main content

Lonboard

PyPI Conda Version Binder open_in_colab

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.

Metadata

Release files for lonboard 0.9.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lonboard 0.9.1
File Size Uploaded
lonboard-0.9.1.tar.gz 660.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for lonboard 0.9.1
File Interpreter ABI Platform
lonboard-0.9.1-py3-none-any.whl Python 3 none any Details

Total release size: 1.3 MB

Release files / lonboard-0.9.1.tar.gz

Download URL lonboard-0.9.1.tar.gz
Size 660.4 kB
Tags Source
SHA-256 checksum
How to use checksums
e3b6c0056b936fcf9c0952086997812c1d5235ba4551fa4f984ee20beab9c94f
BLAKE2b-256 checksum
How to use checksums
37298326d124751a7575f9fe85257b795161954b358e032af3657459ba59b217
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Release files / lonboard-0.9.1-py3-none-any.whl

Download URL lonboard-0.9.1-py3-none-any.whl
Size 674.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
df2a9cee9b1210520e0b705e310f87cc60f4f7f2df5a880ea437aac9b3f2fa64
BLAKE2b-256 checksum
How to use checksums
821482ad8cdb1b00a90344bd3c3a68ba17e41f03669d2c49f0ee621ade4351f8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Release history Release notifications | RSS feed

0.15.0

2 release files

0.14.0

2 release files

0.12.1

2 release files

0.12.0

2 release files

0.11.1

2 release files

0.11.0

2 release files

0.10.4

2 release files

0.10.3

2 release files

0.10.2

2 release files

0.9.3

2 release files

0.9.2

2 release files

This release

0.9.1 This release

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page