Kyle Barron - Lonboard: Fast, interactive geospatial vector data visualization in Jupyter

Lonboard is a Python library for fast, interactive geospatial vector data visualization in Jupyter, capable of handling millions of points efficiently

Uses GeoParquet for efficient data transfer to browser and GeoArrow for binary data handling, making it significantly faster than traditional libraries like iPyleaflet

Can render up to 15 million points on capable hardware, with typical performance of 3 million points in about 2 seconds

Provides integration with popular tools like Panel, Jupyter widgets, and MapLibre for base maps

Features interactive GPU-accelerated visualizations with support for:

• Point data
• Line strings
• Polygons
• Animations
• Custom coloring and styling

Allows export to standalone HTML files that contain all data and can be shared easily

Supports multiple data sources including:

• GeoPandas DataFrames
• DuckDB queries
• Shapefiles
• Any GDAL-supported format

Includes a CLI for quick visualization of geospatial data files

Uses Deck.GL under the hood for GPU-accelerated rendering in the browser

Focuses on being fast, simple to use, and interactive within the Jupyter ecosystem