Highcharts® for Python

Highcharts for Python is a collection of Python libraries that gives you access to all the rich features of Highcharts Core, Stock, Maps and Gantt via a simple, Pythonic API.

Key Features

Comprehensive Highcharts Support

Access the full power of Highcharts in Python. The API supports everything from rich interactivity to advanced formatting, callback functions, and SVG extensions.

Clean, Pythonic API

No more giant dicts or switching between snake_case and camelCase. Highcharts for Python gives you a true Python experience with full Highcharts control—minus the hacks.

Straightforward UI Integration

Need to send charts from your Python backend to the browser? One method call outputs the exact JavaScript your frontend needs to render fully configured visualizations.

Easy Chart Downloads

Export any chart to PNG, JPG, PDF, or SVG with a single method. Your chart’s styling and configuration are preserved, no extra steps required.

Big Data Ready

When you need to render thousands or millions of data points in the browser, our WebGL-powered Boost Module delivers incredible speed.

Main Features

Vast chart collection

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, solid gauge, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall, polar chart types and much more.

Options are optional

Highcharts simple options-structure allows for deep customization, and styling can be done via JavaScript or CSS. Highcharts is also extendable and pluggable for experts seeking advanced animations and functionality. Check out some advanced cool use cases in our community section, and plugins in our our extensions directory.

Flexible Styling

Our elegant charts render crisp and clear at any resolution and are easily styled via our simple options-structure or CSS.

Dynamic and Customizable

Our elegant charts render crisp and clear at any resolution and are easily styled via our simple options-structure using JavaScript or CSS. Highcharts is also extendable and pluggable for experts seeking advanced animations and functionality.

Touch and mobile-optimized

Intelligent responsiveness not only adjusts the chart to the dimensions of its container but also automatically places non-graph elements such as labels, legends, and headings in the most optimal location. Multi-touch gesture support allows for a native experience on mobile and touch screens. Touch gestures include single touch-drag for data inspection, multi-touch for  zooming, and more.

Vibrant community

The largest developer community of any premium charting tool on Github, StackOverflow, and other forums is eager to offer additional assistance, platform-specific implementation advice and inspiration when you need it. In addition, we have dozen dedicated support engineers monitoring our forums, StackOverflow, GitHub and support emails.

Join Our Vibrant Community

The most significant developer community of any premium charting tool on GitHubStackOverflow and Highcharts’ Forums, is eager to offer additional assistance, platform-specific implementation advice and inspiration when you need it.

Check out our documentation

Our customers praise our documentation as easy to follow, extensive and well organized. Filled with helpful examples, our API reference will have you customizing your data visualizations in no time and make maintaining them a breeze.

Try Highcharts for Python for free

Install and experiment with the Highcharts for Python toolkit before you purchase your license. If you wish to use it commercially, you will need to purchase a license in our shop.