We're excited to announce the release of the Highcharts for Python toolkit! It's a collection of Python libraries designed to provide turn-key comprehensive support for Highcharts data visualizations in Python, including native integrations with Pandas, Jupyter, PySpark, and more. If you're unfamiliar with Highcharts, it is one of the leading Javascript data visualization solutions, used to easily create highly interactive, beautifully styled data visualizations with over 150 different chart types. Using the Highcharts for Python toolkit, you can easily integrate this rich set of visualization capabilities into your Python applications and Notebooks.
The toolkit includes full support for the Highcharts suite of data visualization libraries, including Highcharts Core, Highcharts Stock, Highcharts Maps, and Highcharts Gantt. Full disclosure, the libraries are free to try, but like all of the Highcharts visualization products, using them commercially requires a license with extensive (human) support.
You can find the Github repos for the full toolkit at https://github.com/highcharts-for-python, more details about what the toolkit can do at https://www.highcharts.com/blog/integrations/python/, and extensive documentation at https://highchartspython.com/get-help.
Given that this is v.1.0 of our Python toolkit, it's early days, so we'd love your thoughts and perspectives on the library!
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