---
id: highcharts-core
version: "1.11.0"
license: unclear
license_treatment: unclear
maintenance: active
---

# highcharts-core — High-end Data Visualization for the Python Ecosystem. Official wrapper for Highcharts Core (JS).

License: unclear · Maintenance: active · Downloads: 129.6K/mo

## What it is and what it does

Highcharts Core for Python is a wrapper that translates Python objects into Highcharts JavaScript configuration, bridging the gap between Python backends and the Highcharts visualization library. It lets you define charts, plots, and interactive visualizations in Python and automatically serialize them to JavaScript object literal notation for rendering in web browsers or Jupyter notebooks.

The library handles the complexity of converting Python data structures to Highcharts' JavaScript API, supporting over 70 chart types and the full range of Highcharts configuration options. It integrates with Pandas and PySpark dataframes for direct visualization, and can generate both interactive HTML/JavaScript output for web applications and static downloadable images via the Highcharts Export Server.

Use it for:

- Build interactive dashboards in Jupyter notebooks with rich, browser-native Highcharts visualizations.
- Generate production-ready JavaScript code from Python for embedding charts in web applications without manual JSON/JS serialization.
- Automatically visualize Pandas or PySpark dataframes as interactive Highcharts plots with minimal code.
- Export static chart images (PNG, PDF, SVG) programmatically for reports and sharing.
- Integrate Highcharts visualizations into Flask, Django, or other Python web frameworks.

## Worth the install?

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

Generates interactive Highcharts data visualizations from Python, producing JavaScript code and static exports for web browsers and Jupyter environments.

Yes, with conditions. Install if you need Highcharts' interactive visualization capabilities in Python and are willing to verify the license terms beforehand. The package is actively maintained, has low install friction, and integrates cleanly with Jupyter and data science workflows. However, clarify the licensing model—especially if you plan commercial use—before committing to a production deployment.

## Install

pip install highcharts-core
uv add highcharts-core
poetry add highcharts-core

## Installing highcharts-core

Before you install: Low friction: pure Python wheel with three lightweight runtime dependencies (esprima, requests, validator-collection). Actively maintained as of 2026-05-19 with recent releases.

License in practice: License treatment is unclear—no SPDX identifier or raw license text provided in the package metadata. Verify the actual license terms before use, especially for commercial applications.

Quickstart:

pip install highcharts-core

from highcharts_core.chart import Chart

chart = Chart()
chart.add_data_set([1, 2, 3, 4, 5])
js_code = chart.to_js_literal()

Requires Python 3.10 or higher; Highcharts Core (JS) v.10.2 or higher must be available in the target browser environment.

Verify before relying:

- Exact license terms and any restrictions on commercial or proprietary use.
- Whether the package requires a Highcharts license key for production deployments.
- Performance characteristics when rendering large datasets or complex visualizations.

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 129.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

highcharts python wrapper, interactive data visualization, javascript chart generation, jupyter notebook charts, pandas dataframe plotting, web-based data viz, highcharts core integration, data-visualization, jupyter-integration, javascript-generation

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