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Maps · head to head

Fused vs Leafmap

Fused logo

Fused

Maps

Serverless Python for geospatial: write a UDF, get a map tile endpoint and an HTTP API

From
Free
Rated
-
Full reviewWebsite
Leafmap logo

Leafmap

Libraries

Python package for interactive geospatial mapping and analysis inside Jupyter notebooks

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Fused the price steps are brutal: $20 to $200 to $2,000 a month with no intermediate tier, so a two-person team that outgrows Starter faces a tenfold increase for what is often a modest capacity gap.; Leafmap it is a Python library rather than an application, so there is nothing to buy, nothing to install for a non-technical colleague and no interface outside a notebook environment.
  • They diverge on capability: Fused covers User defined functions, Leafmap covers Multiple mapping backends.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Fused and Leafmap actually diverge.

Attributes where Fused and Leafmap differ
AttributeFusedLeafmap
Pricing modelPer month by compute tierOpen source, no licence fee
PlatformsWeb, Linux, macOS, WindowsLinux, Windows, macOS
CategoryMapsLibraries

Identical on both: starting price (Free), free tier (Yes), 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 Fused

  • User defined functions
  • Instant tile endpoints
  • HTTP API
  • Caching
  • Workbench
  • Data stack connectors
  • Public UDF catalogue
  • Local execution

Only in Leafmap

  • Multiple mapping backends
  • Notebook interactivity
  • Raster and COG support
  • STAC catalogue access
  • Earth Engine integration
  • Basemap library
  • Vector data handling
  • Split map comparison

What people use each for

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

Fused

  • A data team that wants to publish a dynamic layer computed from a large Parquet dataset without standing up and operating a tile servernot Leafmap
  • An analyst prototyping against Overture, Sentinel or Census data who needs a working map in an afternoon rather than a data engineering ticketnot Leafmap
  • An application that needs a geospatial computation exposed as an HTTP endpoint, where the alternative is a container, a queue and an on-call rotanot Leafmap
  • A consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tilesnot Leafmap

Leafmap

  • A remote sensing course where students need interactive maps without learning JavaScript or a desktop GISnot Fused
  • A researcher exploring STAC-hosted satellite imagery inside a notebook before committing to a processing pipelinenot Fused
  • An analyst producing a shareable interactive map from a GeoDataFrame in a handful of linesnot Fused
  • A team prototyping a geospatial visualisation before deciding whether to build it properly in a web frameworknot Fused

Where each one falls short

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

Fused

  • The price steps are brutal: $20 to $200 to $2,000 a month with no intermediate tier, so a two-person team that outgrows Starter faces a tenfold increase for what is often a modest capacity gap.
  • Published tiers do not state the actual compute, storage or request allowances, so the only way to know whether $200 covers your workload is to run it and find out.
  • Fused is at pre-seed stage with a small team, and putting a customer-facing map behind a startup’s serverless platform is a continuity risk that a procurement review will flag.
  • It is Python-only and assumes competence with cloud-native geospatial formats; there is no path for an analyst who works in a desktop GIS and not in code.
  • Serverless execution means cold starts and per-tile latency on uncached views, so a first load of a heavy UDF over a wide area is noticeably slower than a pre-rendered tile set.

Leafmap

  • It is a Python library rather than an application, so there is nothing to buy, nothing to install for a non-technical colleague and no interface outside a notebook environment.
  • Maintenance rests largely on one academic maintainer with grant funding, which makes long-term continuity a real consideration for anything beyond research use.
  • The API has moved quickly across releases, so notebooks written against an older version can break on upgrade, which undermines reproducibility in exactly the research settings where it is popular.
  • It abstracts over several third-party backends, so a bug or a rendering limitation is often in ipyleaflet, folium or MapLibre rather than in Leafmap, and diagnosing it means understanding the layer underneath anyway.
  • Large datasets rendered through notebook widgets become slow or unresponsive, so it does not scale to the data volumes a dedicated tiling service or desktop GIS handles comfortably.

Pricing, plan by plan

Fused

Free
  • FreeFree
    • Workbench access
    • AI assistant
    • Local UDF runs
  • Starter$20/month
    • Secrets management
    • Higher compute limits
    • Office hours support
  • Developer$200/month
    • Dedicated jobs
    • GitHub integration
    • Expanded compute, storage and AI token allowance
  • Professional$2000/month
    • Team collaboration
    • Dedicated training
    • Substantially increased usage limits

Leafmap

Free
  • LeafmapFree
    • MIT licence
    • Installed from PyPI or conda-forge
    • No usage limits

Which should you pick?

Choose Fused if

  • You need user defined functions.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows.
  • You also want instant tile endpoints.
Fused review

Choose Leafmap if

  • You need multiple mapping backends.
  • You want to start without paying.
  • You work on Linux, Windows, macOS.
  • You also want notebook interactivity.
Leafmap review

Questions people ask

Is Fused or Leafmap better?
Neither clearly leads. Fused starts at Free and Leafmap at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fused or Leafmap?
Fused starts at Free and Leafmap at Free.
Does Fused or Leafmap run on more platforms?
Fused runs on Web, Linux, macOS, Windows. Leafmap runs on Linux, Windows, macOS.
Can I use Fused for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fused best used for?
Fused is most often used for a data team that wants to publish a dynamic layer computed from a large parquet dataset without standing up and operating a tile server, an analyst prototyping against overture, sentinel or census data who needs a working map in an afternoon rather than a data engineering ticket, an application that needs a geospatial computation exposed as an http endpoint, where the alternative is a container, a queue and an on-call rota, a consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tiles. Of those, a data team that wants to publish a dynamic layer computed from a large parquet dataset without standing up and operating a tile server and an analyst prototyping against overture, sentinel or census data who needs a working map in an afternoon rather than a data engineering ticket are not what Leafmap is typically brought in for.
What can Fused do that Leafmap cannot?
Fused covers User defined functions, Instant tile endpoints, HTTP API, Caching. Leafmap covers Multiple mapping backends, Notebook interactivity, Raster and COG support, STAC catalogue access.

Answered from the vendors’ own pages

Fused: What does Fused actually give me?

A Python function becomes a map tile endpoint and an HTTP API on managed infrastructure, with caching, without you running a server.

Leafmap: Is Leafmap a product?

No. It is an MIT-licensed Python package installed from PyPI or conda-forge. There is nothing to purchase.

Fused: How much does it cost?

Free, then $20, $200 and $2,000 per month for Starter, Developer and Professional. Usage allowances are not itemised publicly.

Leafmap: Who maintains it?

Primarily Qiusheng Wu at the University of Tennessee, with community contributors, funded through research grants rather than sales.

Fused: Can I run UDFs locally?

Yes, through the Python SDK, which is how most development is done before deploying.

Leafmap: Can I buy support?

No commercial support offering exists. Help comes from GitHub issues and the community.

Fused: Does it replace PostGIS or BigQuery?

No. It reads from them. Fused is the compute and serving layer, not the store.

Leafmap: Is it suitable for a production web application?

It is not designed for that. Use it for analysis and prototyping, then build production maps on MapLibre, deck.gl or a hosted service.

Fused: Is it a mature company?

No. It is a small pre-seed San Francisco company. The technology is real; the vendor risk is real too.

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