lonboard

Fast, interactive geospatial data visualization in Jupyter.

48 个版本 Python >=3.11

安装

pip install lonboard

poetry add lonboard

pipenv install lonboard

conda install lonboard

描述

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 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.

Illustration by Gus Becker.

分类

Development Status :: 4 - Beta Framework :: Jupyter Framework :: Jupyter :: JupyterLab Intended Audience :: Science/Research License :: OSI Approved :: MIT License Operating System :: OS Independent Programming Language :: Python :: 3 Programming Language :: Python :: 3 :: Only Topic :: Scientific/Engineering :: GIS

版本列表

0.17.0b1 2026-06-12

0.16.0 2026-04-02

0.16.0b1 2026-03-24

0.15.0 2026-03-16

0.14.0 2026-02-11

0.13.0 2025-11-05

0.13.0b1 2025-10-31

0.12.1 2025-09-18

0.12.0 2025-09-13

0.11.1 2025-06-18

0.11.0 2025-06-17

0.10.4 2025-02-10

0.10.3 2024-10-15

0.10.2 2024-10-10

0.10.1 2024-10-08

0.10.0 2024-10-07

0.10.0b2 2024-09-04

0.10.0b1 2024-08-20

0.9.3 2024-05-27

0.9.2 2024-05-14

0.9.1 2024-05-07

0.9.0 2024-05-06

0.8.0 2024-04-05

0.8.0b1 2024-04-02

0.7.1 2024-03-23

0.7.0 2024-03-21

0.7.0b2 2024-03-18

0.7.0b1 2024-03-06

0.6.0 2024-02-13

0.6.0b1 2024-01-30

0.5.0 2023-12-01

0.4.2 2023-11-13

0.4.1 2023-11-13

0.4.0 2023-11-10

0.3.0 2023-11-07

0.2.0 2023-11-01

0.2.0b1 2023-10-31

0.2.0a1 2023-10-30

0.1.2 2023-10-24

0.1.1 2023-10-23

0.1.0 2023-10-17

0.1.0b7 2023-10-13

0.1.0b6 2023-10-13

0.1.0b5 2023-10-13

0.1.0b4 2023-10-12

0.1.0b3 2023-10-05

0.1.0b2 2023-10-04

0.1.0b1 2023-10-02