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Become a sponsor to Highcharts for Python

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The Highcharts for Python Toolkit brings the industry-leading Highcharts visualization framework into the Python ecosystem. Created by Chris Modzelewski (@hcpchris), the toolkit gives Python developers and data scientists a "batteries included" Pythonic way of quickly and easily configuring and visualizing high-end, beautiful, interactive data visualizations in their Python apps and Jupyter Notebooks.

Our goal is to make it easy to work with Highcharts in your Python environment. To that end, sponsorship helps us to:

  • develop new extensions to the Highcharts for Python toolkit
  • build new showcases demonstrating how to quickly and easily build complex data visualizations

While Highcharts for Python is a commercial product, we're a small (one-person at the moment!) team and we'd deeply appreciate your help building out toolkit.

@highcharts-for-python

Since we're just starting out, our first goal is to find 10 monthly sponsors. Please, help us get started and and bring fantastic open source visualization to the Python ecosystem.

Meet the team

Featured work

  1. highcharts-for-python/highcharts-core

    Python wrapper for the Highcharts Core JavaScript library

    Python 58
  2. highcharts-for-python/highcharts-stock

    Python wrapper for the Highcharts Stock data visualization library.

    JavaScript 26
  3. highcharts-for-python/highcharts-maps

    Python wrapper for the Highcharts Maps data visualization library.

    JavaScript 10
  4. highcharts-for-python/highcharts-gantt

    Python wrapper for the Highcharts Gantt visualization library.

    JavaScript 12
  5. highcharts-for-python/highcharts-for-python-demos

    Collection of demo visualizations using the Highcharts for Python toolkit

    Jupyter Notebook 21

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$10 a month

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  • Have your logo/name highlighted on the Highcharts for Python website and in the toolkit documentation
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$100 a month

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  • Have your bug reports and feature requests prioritized
  • Have your logo/name highlighted on the Highcharts for Python website and in the toolkit documentation
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