Become a sponsor to Highcharts for Python
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.
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
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Chris Modzelewski hcpchrisAfter 25 years in the data business, I love Python and data visualization - so I built the Highcharts for Python toolkit.
Featured work
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highcharts-for-python/highcharts-core
Python wrapper for the Highcharts Core JavaScript library
Python 58 -
highcharts-for-python/highcharts-stock
Python wrapper for the Highcharts Stock data visualization library.
JavaScript 28 -
highcharts-for-python/highcharts-maps
Python wrapper for the Highcharts Maps data visualization library.
JavaScript 11 -
highcharts-for-python/highcharts-gantt
Python wrapper for the Highcharts Gantt visualization library.
JavaScript 13 -
highcharts-for-python/highcharts-for-python-demos
Collection of demo visualizations using the Highcharts for Python toolkit
Jupyter Notebook 21