highcharts-core
High-end Data Visualization for the Python Ecosystem. Official wrapper for Highcharts Core (JS).
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or higher; Highcharts Core (JS) v.10.2 or higher must be available in the target browser environment.
- 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 · maintenance · safety
(unclear) — 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.
last release 2026-05-19 (87 days) · last repo commit 2026-05-19 · 71 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 129,615 downloads/mo, #11,663 on PyPI
Alternatives
Verify before relying
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()- 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.
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 on this page. Verify before relying on it.
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
highcharts-core on PyPI
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.
Requires Python 3.10 or higher; Highcharts Core (JS) v.10.2 or higher must be available in the target browser environment.
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()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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesesprimarequestsvalidator-collection |
| Maintenance | Actively maintained 87 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 129,615 / month, #11,663 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: Web EnvironmentFramework :: JupyterIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Financial and Insurance IndustryIntended Audience :: Healthcare IndustryIntended Audience :: ManufacturingIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseOperating System :: OS IndependentTopic :: Internet :: WWW/HTTP :: Dynamic ContentTopic :: Office/BusinessTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Code GeneratorsTopic :: Software Development :: LibrariesTopic :: Utilities |
Evidence: highcharts_core-1.11.0-py3-none-any.whl
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