Kartograph.py
Render beautiful SVG maps in Python.
- Status
- UnmaintainedNo commits in 3383 days.
- Last checked
- Checked · Oct 11, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Kartograph.py is a Python library for rendering high-quality SVG maps from geographic data. It allows developers to create interactive and visually appealing maps for web applications without requiring extensive knowledge of GIS systems.
Kartograph.py stands out for its ease of use in generating high-quality SVG maps directly from Python, making it ideal for developers and data scientists who need to visualize geographic data without diving into complex GIS systems.
When it fits — and when it doesn’t
A good fit for
Developers who need to integrate high-quality map visualizations into their Python projects without extensive GIS knowledge.
Data scientists looking to visualize geographic data in a web-friendly format.
Look elsewhere if
Projects requiring real-time geospatial analysis or complex GIS operations, as Kartograph.py focuses on rendering rather than advanced spatial analysis.
Applications needing server-side map generation at scale without local Python execution capabilities.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited active development and maintenance
Last major update was in 2015, with minimal commits since then indicating reduced support
- 02
Poor documentation for advanced features
Documentation lacks detailed examples and explanations for complex functionalities such as custom styling options
- 03
Performance issues with large datasets
Rendering maps from extensive geographic data can be slow, leading to long processing times
What it does well
High-quality SVG map rendering
Support for geographic data formats like GeoJSON and TopoJSON
Customizable styling options for maps
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 Kartograph.py
Setup steps, common gotchas and what to check after 30 days.
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