This package makes it super simple to do exploratory data analysis and develop high-quality Panel data apps using the HighCharts plotting library.


Keywords
python, holoviz, panel, dataviz, dataapp, dashboard, datascience, analytics, highcharts, analysis, application, charts, datavisualization, trading
License
Other
Install
pip install panel-highcharts==20221018.1

Documentation

Panel HighCharts Logo

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📈 Panel Highcharts

We want to

  • make it super simple to do exploratory data analysis and develop high-quality Panel data apps using the HighCharts plotting library.

We provide

  • the panel-highcharts python package for Panel.
  • example notebooks and data apps.

Panel HighCharts Intro

⚖️ License

The panel-highcharts python package and repository is open source and free to use (MIT License), however Highcharts itself requires a license for commercial use. For more info see the Highcharts license FAQs.

🚀 Get started in under a minute

Install panel-highcharts including the examples dependencies.

pip install panel-highcharts[examples]

Explore the sample apps

pn hello panel-highcharts

Panel HighCharts Intro

You can now find the reference and gallery notebooks in the examples/awesome-panel/panel-highcharts folder. Check them out by running jupyter lab.

📒 Get started on Binder

Click the button

Binder

Checkout Highcharts Demos

Follow the link

Highcharts Gallery

Support

Please support Panel and awesome-panel by giving the projects a star on Github:

Thanks

❤️ Contribute

If you are looking to contribute to this project you can find ideas in the issue tracker. To get started check out the DEVELOPER_GUIDE.

I would love to support and receive your contributions. Thanks.

Hacktober Fest.

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