📈 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.

You can install and use the package as simple as.

pip install panel-highcharts

import panel_highcharts as ph

import panel as pn
pn.extension('highchart')

configuration = {
    "title": {"text": "HighChart Pane"},
    "series": [
        {
            "name": "series1",
            "data": [1, 2, 3, 4, 5],
        }
    ]
}

ph.HighChart(object=configuration, sizing_mode="stretch_width").servable()

⭐ 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.

⚖️ 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.

📙 How to

Below we describe how to get started.

🚀 Install for usage

You can install the package via

pip install panel-highcharts

👩‍🏫 Explore the reference examples online

Guide	Notebook	Jupyter Notebook	Jupyter Labs	Panel App
HighChart	View
HighStock	View
HighMap	View
HighGantt	View

🎨 Explore other examples online

Guide	Notebook	App
AddSeriesDynamically	View
LinkedCharts	View
Network	View	Awesome Panel
PackedBubble	View
Themes	View
Variwide	View

👩‍🏫 Explore the examples locally

Run

pip install pip -U
pip install panel-highcharts[all]
git clone https://github.com/awesome-panel/panel-highcharts.git
cd panel-highcharts/examples

Then run

jupyter lab

panel serve *.ipynb

vdt/panel-highcharts