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Libraries · head to head

Leafmap vs MySQL

Leafmap logo

Leafmap

Libraries

Python package for interactive geospatial mapping and analysis inside Jupyter notebooks

From
Free
Rated
-
Full reviewWebsite
MySQL logo

MySQL

Web Development

The world's most popular open source database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; MySQL hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • They diverge on capability: Leafmap covers Multiple mapping backends, MySQL covers ACID compliance.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Leafmap and MySQL actually diverge.

Attributes where Leafmap and MySQL differ
AttributeLeafmapMySQL
Pricing modelOpen source, no licence feefreemium
PlatformsLinux, Windows, macOSWindows, Macos, Linux, Unix
CategoryLibrariesWeb Development
FoundedUnknown1995

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 Leafmap

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

Only in MySQL

  • ACID compliance
  • SQL support
  • Multi-version concurrency control
  • Replication
  • Partitioning
  • Stored procedures
  • Triggers
  • Views

What people use each for

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

Leafmap

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

MySQL

  • Web application backendnot Leafmap
  • E-commerce platformsnot Leafmap
  • Content management systemsnot Leafmap
  • Data warehousingnot Leafmap
  • Business applicationsnot Leafmap

Where each one falls short

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

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.

MySQL

  • Hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • Transparent Data Encryption, data masking and de-identification are Enterprise Edition only
  • MySQL Enterprise Firewall, which guards against SQL injection, and MySQL Enterprise Audit are both paid components
  • External authentication against PAM or Windows Active Directory requires MySQL Enterprise Authentication
  • The thread pool ships as MySQL Enterprise Scalability rather than in the community build

Pricing, plan by plan

Leafmap

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

MySQL

Free
  • Community EditionFree
    • Open source license
    • Full SQL support
    • InnoDB storage engine
  • Standard Edition$2000/year
    • Commercial license
    • Oracle Premier Support
    • MySQL Enterprise backup
  • Enterprise Edition$5000/year
    • Advanced security
    • MySQL Enterprise Monitor
    • High Availability

Which should you pick?

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

Choose MySQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Windows, Macos, Linux, Unix.
  • You also want sql support.
MySQL review

Questions people ask

Is Leafmap or MySQL better?
Neither clearly leads. Leafmap starts at Free and MySQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Leafmap or MySQL?
Leafmap starts at Free and MySQL at Free.
Does Leafmap or MySQL run on more platforms?
Leafmap runs on Linux, Windows, macOS. MySQL runs on Windows, Macos, Linux, Unix.
Can I use Leafmap for free?
Both have a free tier, so you can try either at no cost before committing.
What is Leafmap best used for?
Leafmap is most often used for a remote sensing course where students need interactive maps without learning javascript or a desktop gis, a researcher exploring stac-hosted satellite imagery inside a notebook before committing to a processing pipeline, an analyst producing a shareable interactive map from a geodataframe in a handful of lines, a team prototyping a geospatial visualisation before deciding whether to build it properly in a web framework. Of those, a remote sensing course where students need interactive maps without learning javascript or a desktop gis and a researcher exploring stac-hosted satellite imagery inside a notebook before committing to a processing pipeline are not what MySQL is typically brought in for.
What can Leafmap do that MySQL cannot?
Leafmap covers Multiple mapping backends, Notebook interactivity, Raster and COG support, STAC catalogue access. MySQL covers ACID compliance, SQL support, Multi-version concurrency control, Replication.

Answered from the vendors’ own pages

Leafmap: Is Leafmap a product?

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

MySQL: Does MySQL cost money?

MySQL is primarily open-source and free to use. Commercial editions and support services are available but pricing is not published on the main website.

Source
Leafmap: Who maintains it?

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

MySQL: How do I get MySQL pricing information?

For MySQL commercial editions and support pricing, customers can contact MySQL sales directly at +1-866-221-0634 or navigate to individual product pages.

Source
Leafmap: Can I buy support?

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

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.

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