Maps · head to head
Lonboard vs Motive

Lonboard
Maps
Python map rendering in Jupyter that skips GeoJSON and moves millions of features without choking
- From
- Free
- Free plan
- Yes

Motive
Fleet Management
ELD compliance, AI dashcams and spend management for North American commercial fleets
- From
- On request
- Free plan
- No
The short version
- Only Lonboard has a free tier, so it costs nothing to try first.
- 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; Motive contracts are multi-year and per vehicle with hardware embedded, so a fleet that shrinks keeps paying for units that are sitting in a yard.
- They diverge on capability: Lonboard covers GeoArrow binary transfer, Motive covers ELD compliance.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Lonboard and Motive actually diverge.
Identical on both: user rating (Not yet rated).
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 Motive
- ELD compliance
- AI dashcams
- GPS tracking
- Driver safety scoring
- Vehicle diagnostics
- Spend management
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 Motive
- A researcher publishing a reproducible analysis where the visualisation must run from the same script as the processingnot Motive
- A data scientist joining spatial data to model outputs in pandas and needing to see the result immediately without exporting to a GISnot Motive
- A team building an internal analysis pipeline on GeoParquet that wants rendering without a serialisation step in the middlenot Motive
Motive
- A trucking fleet that must run FMCSA compliant electronic logs and wants cameras from the same vendornot Lonboard
- An operator facing an insurance renewal that requires evidence of a driver coaching programmenot Lonboard
- A construction fleet tracking both vehicles and unpowered assets such as trailers and generatorsnot Lonboard
- A fleet suspecting fuel card misuse and wanting transactions matched against vehicle locationnot 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
Motive
- Contracts are multi-year and per vehicle with hardware embedded, so a fleet that shrinks keeps paying for units that are sitting in a yard.
- Driver facing cameras generate real workforce resistance, and fleets in tight labour markets have lost drivers over the rollout rather than the technology.
- Installation and calibration across a distributed fleet takes weeks of vehicle downtime, which is rarely costed into the comparison at the point of purchase.
- The rebrand from KeepTruckin means older documentation, integration guides and third-party references are inconsistent, which slows technical work on connections.
- Coverage depends on cellular networks, so remote route segments produce gaps in tracking and delayed log uploads that drivers then have to reconcile.
Pricing, plan by plan
Lonboard
Free- LonboardFree
- Open source, no licence fee
- No usage limits
- Installed from PyPI or conda
Motive
On request- Motive$undefined/year
- Per-vehicle subscription over a multi-year term
- Hardware supplied within the agreement rather than purchased outright
- Dashcams, asset trackers and spend management priced as separate lines
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 Motive if
- You need eld compliance.
- You work on Web, iOS, Android.
- You also want ai dashcams.
Questions people ask
- Is Lonboard or Motive better?
- Neither clearly leads. Lonboard starts at Free and Motive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lonboard or Motive?
- Lonboard has a free tier; the other does not. Paid plans start at Free for Lonboard and On request for Motive.
- Does Lonboard or Motive run on more platforms?
- Lonboard runs on Linux, macOS, Windows. Motive runs on Web, iOS, Android.
- Can I use Lonboard for free?
- Yes. Lonboard has a free tier, so you can try it without paying. Motive starts at On request.
- 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 Motive is typically brought in for.
- What can Lonboard do that Motive cannot?
- Lonboard covers GeoArrow binary transfer, GeoPandas input, deck.gl layers, Jupyter widget. Motive covers ELD compliance, AI dashcams, GPS tracking, Driver safety scoring.
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.
Motive: Is Motive the same company as KeepTruckin?
Yes. KeepTruckin renamed to Motive in 2022. The products and account relationships carried over.
Lonboard: Who maintains it?
Development Seed, a geospatial engineering consultancy, as an open source project. There is no commercial support offering.
Motive: Can hardware be bought outright?
It is normally supplied inside a multi-year subscription rather than sold, which is why the exit cost of a shrinking fleet is high.
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.
Motive: Does it work outside the United States?
Canada and Mexico are supported, including Canadian electronic logging requirements. Coverage elsewhere is limited.
Lonboard: Is it free for commercial use?
Yes, it is open source with no licence fee.
Motive: Are the driver facing cameras optional?
Yes, road facing only configurations are available, and fleets worried about driver retention often start there.
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