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Lonboard

Python map rendering in Jupyter that skips GeoJSON and moves millions of features without choking

As of 1 September 2026, Lonboard is free to use. An open source Python binding to deck. Softwr lists it under Maps. Lonboard is made by Development Seed, available on Linux, macOS, Windows.

Overview

What Lonboard does

Lonboard renders geospatial vector data interactively inside a Jupyter notebook. Hand it a GeoPandas GeoDataFrame and its viz function chooses a scatterplot, path or polygon layer and draws it; or construct deck.gl layers directly for control over styling, tooltips and interaction. It is a thin, deliberate binding rather than an attempt at a mapping application. The engineering choice is the reason to use it. Other Python interactive mapping libraries, ipyleaflet and pydeck among them, serialise geometry to GeoJSON to get it from the Python kernel to the browser, which is slow and memory-hungry at scale. Lonboard moves data from GeoPandas through GeoArrow to a compressed binary buffer, so a dataset with millions of features transfers and renders in seconds where the GeoJSON route would hang the notebook. For an analyst working with a national road network or a full year of point observations, that is the difference between exploring the data and sampling it. It is maintained by Development Seed, a geospatial engineering consultancy, and released under an open source licence, so there is no fee and the source is inspectable. That is also the caveat: it is a consultancy's open source project, not a product with a support contract, and its priorities follow the consultancy's client work. Users are Python geospatial analysts, data scientists and researchers who already live in notebooks.

What people use it for

  • An analyst exploring a national road or parcel dataset in a notebook where pydeck or ipyleaflet becomes unusable at that size
  • A researcher publishing a reproducible analysis where the visualisation must run from the same script as the processing
  • A data scientist joining spatial data to model outputs in pandas and needing to see the result immediately without exporting to a GIS
  • A team building an internal analysis pipeline on GeoParquet that wants rendering without a serialisation step in the middle

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Lonboard.

  • It is a notebook visualisation library, not a mapping application, so there is no editing, no layout, no map export for print and no sharing beyond distributing the notebook or an HTML file
  • Maintenance sits with Development Seed as an open source side output of a consultancy, so roadmap priorities follow client projects and there is no support contract to buy
  • Layer coverage is a subset of deck.gl, so an analyst needing a less common layer type has to drop to pydeck or write JavaScript rather than staying in Python
  • It expects data already in GeoPandas or Arrow form, which means the performance benefit depends on the rest of your pipeline being Arrow-friendly; reading a large Shapefile is still the slow step
  • Rendering happens in the browser, so very large datasets are ultimately limited by the client machine's memory and GPU rather than by the server, and a laptop will still fail on data a workstation handles

Cross-shopped

What people choose instead of Lonboard

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Lonboard logo
    Lonboard
    vs
    deck.gl logo
    deck.gl

    deck.gl: If you are building a web application rather than exploring data in a notebook

  • Lonboard logo
    Lonboard
    vs
    Q
    QGIS

    QGIS: If you want a desktop GIS with editing, layout and print output rather than a notebook library

  • Lonboard logo
    Lonboard
    vs
    CARTO logo
    CARTO

    CARTO: If you need hosted, shareable analysis rather than a local Python environment

Pricing

What Lonboard costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Lonboard

Free

  • Open source, no licence fee
  • No usage limits
  • Installed from PyPI or conda
  • Support is GitHub issues only
  • No commercial support contract offered

Capabilities

Features

  • GeoArrow binary transfer

    Data moved to the browser as compressed binary rather than serialised GeoJSON

  • GeoPandas input

    A GeoDataFrame rendered with a single viz call

  • deck.gl layers

    Scatterplot, path, polygon, heatmap and other deck.gl layers available directly

  • Jupyter widget

    Interactive pan, zoom, selection and tooltips inside the notebook

  • Large dataset handling

    Millions of features rendered where GeoJSON-based libraries stall

  • Styling by attribute

    Colour and size driven from dataframe columns

  • Open source licence

    Source inspectable and forkable, no licence fee

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Why not just use pydeck?

pydeck serialises geometry to GeoJSON to reach the browser. Lonboard uses a binary GeoArrow pipeline, which is the reason it handles far larger datasets in the same notebook.

Who maintains it?

Development Seed, a geospatial engineering consultancy, as an open source project. There is no commercial support offering.

Does it work outside Jupyter?

It is built as a Jupyter widget. Exporting to standalone HTML is possible, but the intended environment is a notebook.

Is it free for commercial use?

Yes, it is open source with no licence fee.

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Softwr does not host reviews and shows no star rating for Lonboard, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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