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Maps · head to head

Lonboard vs Mappedin

Lonboard logo

Lonboard

Maps

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

From
Free
Rated
-
Mappedin logo

Mappedin

Maps

Enterprise indoor mapping platform that helps venues create interactive 3D maps, wayfinding

From
Free
Rated
-

The short version

  • Each has a real cost: 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; Mappedin location naming is the leading source of integration failures, requiring manual cleanup of AI-generated labels
  • They diverge on capability: Lonboard covers GeoArrow binary transfer, Mappedin covers Core Functionality.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Lonboard and Mappedin actually diverge.

Attributes where Lonboard and Mappedin differ
AttributeLonboardMappedin
Pricing modelOpen source, no licence feeUnknown
PlatformsLinux, macOS, WindowsWeb, iOS, Android, Cloud
FoundedUnknown2011

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Maps).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Lonboard

  • GeoArrow binary transfer
  • GeoPandas input
  • deck.gl layers
  • Jupyter widget
  • Large dataset handling
  • Styling by attribute
  • Open source licence

Only in Mappedin

  • Core Functionality
  • User Interface

What people use each for

The jobs each tool is most often brought in to do.

Lonboard

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

Mappedin

  • Indoor navigation and map experience for buildingsnot Lonboard
  • Operations management for facility and workplace planningnot Lonboard

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

Mappedin

  • Location naming is the leading source of integration failures, requiring manual cleanup of AI-generated labels
  • Multi-building campus maps not supported for Microsoft Places integration
  • No native digital signage CMS for integrated sign management
  • Limited analytics capabilities compared to competitors in complex enterprise environments

Pricing, plan by plan

Lonboard

Free
  • LonboardFree
    • Open source, no licence fee
    • No usage limits
    • Installed from PyPI or conda

Mappedin

Free
  • FreeFree
    • 1 map
    • Basic indoor mapping
    • No SDK access
  • Custom Enterprise$undefined/mo
    • Subscription-based on square footage
    • Full platform access
    • SDKs and APIs

Which should you pick?

Choose Lonboard if

  • You need geoarrow binary transfer.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want geopandas input.

Choose Mappedin if

  • You need core functionality.
  • You want to start without paying.
  • You work on Web, iOS, Android, Cloud.
  • You also want user interface.

Questions people ask

Is Lonboard or Mappedin better?
Neither clearly leads. Lonboard starts at Free and Mappedin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lonboard or Mappedin?
Lonboard starts at Free and Mappedin at Free.
Does Lonboard or Mappedin run on more platforms?
Lonboard runs on Linux, macOS, Windows. Mappedin runs on Web, iOS, Android, Cloud.
Can I use Lonboard for free?
Both have a free tier, so you can try either at no cost before committing.
What is Lonboard best used for?
Lonboard is most often used 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. Of those, an analyst exploring a national road or parcel dataset in a notebook where pydeck or ipyleaflet becomes unusable at that size and a researcher publishing a reproducible analysis where the visualisation must run from the same script as the processing are not what Mappedin is typically brought in for.
What can Lonboard do that Mappedin cannot?
Lonboard covers GeoArrow binary transfer, GeoPandas input, deck.gl layers, Jupyter widget. Mappedin covers Core Functionality, User Interface.

Answered from the vendors’ own pages

Lonboard: 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.

Mappedin: Does Mappedin support multi-building campus mapping?

Mappedin supports multi-building deployments, but the Places integration requires each building to be mapped as a separate venue rather than as one unified campus map.

Source
Lonboard: Who maintains it?

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

Mappedin: How long does it take to deploy Mappedin for a large venue?

Large venue deployments typically go live within 30-60 days from contract signature. The Mappedin Maker platform enables rapid map creation from floor plans, with professional map-making services available for additional fees.

Source
Lonboard: 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.

Mappedin: What platforms and SDKs does Mappedin provide?

Mappedin offers SDKs for Web, iOS, and Android, plus comprehensive APIs and webhooks for integrations. The platform supports venues including airports, shopping malls, stadiums, workplaces, and healthcare facilities.

Source
Lonboard: Is it free for commercial use?

Yes, it is open source with no licence fee.

Mappedin: Does Mappedin have a free plan?

Yes, Mappedin offers a free plan for creating one initial digital map at app.mappedin.com. Pricing is subscription-based and scales with building size in square footage or square meters.

Source
Mappedin: What compliance certifications does Mappedin have?

Mappedin is SOC2 certified, GDPR compliant, and WCAG accessible. The platform includes real-time data management and analytics capabilities.

Source
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