Databases (Core)

Cartopy

Python library for geospatial data processing and mapping.

Status
Generally available
Last checked
Checked · Oct 6, 2026
License
Open source
Pricing
Free tier · from $0
Visit Cartopy Compare with alternatives

What it is

Cartopy is a Python package designed to facilitate geospatial data analysis and visualization, enabling users to create maps and perform spatial transformations with ease. It's particularly useful for researchers and developers working with geographic information systems (GIS).

Cartopy stands out as a robust, open-source library specifically tailored for Python developers working with geographic data, offering extensive support for various projections and transformations.

When it fits — and when it doesn’t

A good fit for

  • Researchers and developers working with GIS data who need to create accurate maps and perform spatial analysis.

  • Projects that require integration of geographic information into Python-based applications.

Look elsewhere if

  • Applications requiring real-time geospatial processing or very large datasets where performance is critical.

  • Users looking for a web-based interface for map creation without coding.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-Python developers

    API requires Python-specific patterns, and extensive knowledge of matplotlib is often necessary for advanced usage.

  2. 02

    Limited native support for certain geospatial data formats

    Cartopy primarily supports shapefiles and GeoJSON; more specialized formats may require additional libraries or manual conversion.

  3. 03

    Performance issues with large datasets

    Rendering maps with extensive geospatial data can be slow, leading to longer processing times and potential memory overflow issues.

  4. 04

    Documentation lacks comprehensive examples for advanced use cases

    While basic usage is covered, more complex operations such as custom projections or integrating with other GIS tools are not well-documented.

What it does well

  • Support for various map projections and coordinate systems.

  • Integration with matplotlib for advanced plotting capabilities.

  • Geospatial data transformation and manipulation functions.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Cartopy

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →