---
id: highcharts-maps
version: "1.7.1"
license: unclear
license_treatment: unclear
maintenance: dormant
---

# highcharts-maps — High-end Map Data Visualization for the Python Ecosystem

License: unclear · Maintenance: dormant · Downloads: 88.6K/mo

## What it is and what it does

Highcharts Maps for Python is a Python wrapper around the Highcharts Maps JavaScript visualization library, designed to let you build interactive geospatial and map-based charts without writing JavaScript. It translates Python objects into the JavaScript configuration format that Highcharts Maps expects, handling the serialization complexity automatically. The library supports over 70 chart types from Highcharts Core plus four core map visualizations, and it integrates directly with Jupyter notebooks, Pandas dataframes, PySpark dataframes, and GeoPandas GeoDataFrames so you can visualize geographic data alongside your Python workflows.

The package requires Python 3.10 or higher and depends on six runtime libraries: esprima for JavaScript parsing, geojson and topojson for map geometry handling, highcharts-core for the underlying visualization engine, requests for HTTP operations, and validator-collection for data validation. It also requires Highcharts Maps (JS) v.10.2 or higher to be available in your JavaScript environment. The library is classified as production/stable but has not been updated in 724 days, so you should verify that it remains compatible with your target Highcharts JS version and current Python ecosystem before committing to it.

Use it for:

- Build interactive choropleth maps in Jupyter notebooks that visualize regional or country-level data from Pandas dataframes without writing JavaScript.
- Create geospatial dashboards that combine GIS data from GeoPandas GeoDataFrames with Highcharts' interactive map and chart capabilities.
- Render TopoJSON or GeoJSON map geometries as interactive visualizations with data overlays, suitable for geographic analysis and reporting.
- Generate downloadable static map visualizations programmatically via the Highcharts Export Server for reports or automated pipelines.
- Visualize time-series or multi-dimensional data on maps using PySpark dataframes in large-scale data science workflows.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Highcharts Maps for Python wraps the Highcharts Maps JavaScript library to create interactive geospatial and map-based data visualizations directly from Python, with native integration into Jupyter, Pandas, PySpark, and GeoPandas workflows.

Yes, with conditions. Install if you need interactive map visualizations in Python and are comfortable with the Highcharts ecosystem. However, verify the license terms first (they are unclear in the metadata), and be aware that the package has not been updated in 724 days—test compatibility with your target Highcharts JS version and Python environment before relying on it for production. No known security vulnerabilities exist.

## Install

pip install highcharts-maps
uv add highcharts-maps
poetry add highcharts-maps

## Installing highcharts-maps

Before you install: Installation is straightforward with low friction. The package is in production/stable status but dormant—last release was 724 days ago with no recent commits. Six runtime dependencies are all established libraries, so the dependency chain is manageable.

License in practice: License treatment is unclear: no SPDX identifier or raw license text is available in the metadata. Before installing, verify the actual license terms directly from the project documentation or repository to understand any restrictions.

Quickstart:

pip install highcharts-maps

from highcharts_maps import Chart
import geojson

chart = Chart()
# Configure with geojson or topojson map data
chart.to_html_file()

Requires Python 3.10 or higher and Highcharts Maps (JS) v.10.2 or higher in your JavaScript environment

Verify before relying:

- Whether the unclear license is proprietary, commercial, or open-source and what restrictions it imposes
- Whether the dormant maintenance status affects compatibility with current Highcharts JS versions or Python ecosystem changes
- Specific version compatibility requirements between this package and highcharts-core beyond the stated minimum

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: dormant
- Downloads: 88.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

interactive map visualization python, geospatial data visualization, highcharts maps wrapper, gis visualization library, choropleth and map charts, jupyter map plotting, geographic data viz, topojson geojson visualization, geospatial-visualization, jupyter-integration, interactive-maps

[View on SkillFed](https://skillfed.io/packages/highcharts-maps) · [View on PyPI](https://pypi.org/project/highcharts-maps/)