Ensure Compliance with Highcharts License Updates
Publisher UpdateChart Controls
Highcharts reclassifies public website deployments under the SaaS License, requiring some users to update agreements to align with the new terms.
Highcharts for Python
Access full Highcharts features in Python with ease.
- Provides full Highcharts Core, Stock, Maps, and Gantt support.
- Offers a clean, Pythonic interface for seamless visualization.
- Integrates natively with popular Python data tools like Pandas and PySpark.
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Highcharts for Python is a collection of libraries that expose the comprehensive capabilities of Highcharts JavaScript for generating interactive charts. Designed for Python developers, it offers a Pythonic API to configure, render, and export visualizations directly from Python environments, including Jupyter notebooks and web frameworks.
Complete Highcharts Feature Access
Unlock all visual features of Highcharts Core, Stock, Maps, and Gantt libraries using Python without needing to manage JavaScript code directly.
Intuitive Pythonic API
Configure charts using conventional Python syntax with snake_case naming, eliminating the need for cumbersome JSON or JavaScript workarounds.
Versatile Data Integration
Easily load data from diverse sources, including, Pandas DataFrames, PySpark DataFrames, CSV files, and Python iterables, to build meaningful visualizations.
Simple Rendering in Various Environments
Generate JavaScript literals from Python code for seamless embedding in web applications or display charts natively in Jupyter environments with minimal effort.
One-Call Static Chart Exporting
Produce high-quality static images of charts in formats like PNG, JPEG, PDF, or SVG via single method calls, with support for custom export servers.
Modular Library Architecture
Choose and install only the Highcharts Python libraries you need, Core, Stock, Maps, or Gantt, minimizing project dependencies and complexity.
Rich Customization and Interactivity
Configure detailed chart options, including custom event handlers, formatter functions, and interactive controls, directly from Python.
Native Support for Popular Python Tools
Integrate effortlessly with Python data science stacks such as Jupyter Labs/Notebooks, Pandas, PySpark, and GeoPandas for enhanced data analysis workflows.
Product Compatibility
Review the details below to ensure this product is supported within your environment.
Component Type
- JavaScript
- Windows DLL
JavaScript Platform
- Angular
- AngularJS
- React
- Vanilla JavaScript
- Vue.js
About Highsoft
Highsoft, established in 2006 and headquartered in Vik i Sogn, Norway, is renowned for its industry-leading JavaScript charting libraries, including Highcharts and its related products. Originating from a desire to create accessible, standards-based charting solutions, it has become a trusted name for developers and organizations requiring dynamic, cross-platform data visualizations. Highsoft’s libraries are compatible with a broad array of frameworks and programming languages, supporting use cases from simple dashboards to mission-critical applications. Its emphasis on accessibility, global support, and continuous quality improvement makes it a compelling choice for IT professionals seeking reliable visualization components.
As official and authorized distributors since 2017, ComponentSource supplies you with legitimate licenses directly from Highsoft.