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https://github.com/holoviz/panel

Panel: The powerful data exploration & web app framework for Python
https://github.com/holoviz/panel

bokeh control-panels dashboards dataapp datascience dataviz gui holoviews holoviz hvplot jupyter matplotlib panel plotly

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Panel: The powerful data exploration & web app framework for Python

Host: GitHub
URL: https://github.com/holoviz/panel
Owner: holoviz
License: bsd-3-clause
Created: 2018-08-23T12:14:24.000Z (over 6 years ago)
Default Branch: main
Last Pushed: 2024-05-22T19:24:14.000Z (7 months ago)
Last Synced: 2024-05-22T22:17:25.697Z (7 months ago)
Topics: bokeh, control-panels, dashboards, dataapp, datascience, dataviz, gui, holoviews, holoviz, hvplot, jupyter, matplotlib, panel, plotly
Language: Python
Homepage: https://panel.holoviz.org
Size: 121 MB
Stars: 4,289
Watchers: 56
Forks: 469
Open Issues: 1,054
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.MD
- Funding: .github/FUNDING.yml
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md

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README

        

  

    

    

  



# Panel: The powerful data exploration & web app framework for Python

Panel is an [open-source](https://github.com/holoviz/panel/blob/main/LICENSE.txt) Python library that lets you **easily build powerful tools, dashboards and complex applications entirely in Python**. It has a batteries-included philosophy, putting the PyData ecosystem, powerful data tables and much more at your fingertips. High-level reactive APIs and lower-level callback based APIs ensure you can quickly build exploratory applications, but you aren't limited if you build complex, multi-page apps with rich interactivity. Panel is a member of the [HoloViz](https://holoviz.org/) ecosystem, your gateway into a connected ecosystem of data exploration tools.

---

Enjoying Panel? Show your support with a [Github star](https://github.com/holoviz/panel) — it’s a simple click that means the world to us and helps others discover it too! ⭐️

---

Downloads

 

Build Status



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Latest release

    

Docs

  

Notebooks



Support

 

[Home](https://panel.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://panel.holoviz.org/getting_started/index.html) | [Reference Guides](https://panel.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)

## Panel works with the tools you know and love

[Panel](https://panel.holoviz.org/) makes it easy to combine widgets, plots, tables and other viewable Python objects into custom analysis tools, applications, and dashboards.

[![Panel NYC Taxi Linked Brushing](https://assets.holoviz.org/panel/readme/linked_brushing.gif)](https://panel.holoviz.org/reference/templates/FastGridTemplate.html)




Panel works really well with the visualization tools you already know and love like [Altair/ Vega](https://panel.holoviz.org/reference/panes/Vega.html), [Bokeh](https://panel.holoviz.org/reference/panes/Bokeh.html), [Datashader](https://datashader.org/), [Deck.gl/ pydeck](https://panel.holoviz.org/reference/panes/DeckGL.html), [Echarts/ pyecharts](https://panel.holoviz.org/reference/panes/ECharts.html), [Folium](https://panel.holoviz.org/reference/panes/Folium.html), [HoloViews](https://holoviews.org/), [hvPlot](https://hvplot.holoviz.org), [plotnine](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Matplotlib](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Plotly](https://panel.holoviz.org/reference/panes/Plotly.html), [PyVista/ VTK](https://panel.holoviz.org/reference/panes/VTK.html), [Seaborn](https://panel.holoviz.org/gallery/styles/SeabornStyle.html) and more. Panel also works with the [ipywidgets](https://panel.holoviz.org/reference/panes/IPyWidget.html) ecosystem.

[![Pythons DataViz works with Panel](https://assets.holoviz.org/panel/readme/dataviz.gif)](https://panel.holoviz.org/reference/index.html#panes)

Panel provides bi-directional communication making it possible to react to clicks, selections, hover etc. events.

[![Vega Selections](https://assets.holoviz.org/panel/readme/vega_selections.gif)](https://panel.holoviz.org/reference/panes/Vega.html)

You can develop in [Jupyter Notebooks](http://jupyter.org) as well as editors like [VS Code](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) or [Spyder](https://www.spyder-ide.org/).

  

    

    

  

 

Panel provides a unique combination of deployment options. You can share your data and models as

- a web application running on the [Tornado](https://www.tornadoweb.org/en/stable/) (default), [Flask](https://flask.palletsprojects.com/), [Django](https://www.djangoproject.com/) or [Fast API](https://fastapi.tiangolo.com/) web server.

- a stand alone client side application powered by [Pyodide](https://pyodide.org/en/stable/) or [PyScript](https://pyscript.net/) via [`panel convert`](https://panel.holoviz.org/how_to/wasm/convert.html).

- an interactive Jupyter notebook component.

- a static `.html` web page, a `.gif` video, a `.png` image and more.

Panel has something to offer for every one *from beginner to data pro*.

## Panel is a member of the HoloViz ecosystem

Panel is a member of the ambitious [HoloViz](https://holoviz.org/) dataviz ecosystem and has first class support for the other members like [hvPlot](https://hvplot.holoviz.org) (simple .hvplot plotting api), [HoloViews](https://holoviews.org/) (powerful plotting api), and [Datashader](https://datashader.org/) (big data viz).

Panel is built on top of [Param](https://param.holoviz.org). Param enables you to annotate your code with parameter ranges, documentation, and dependencies between parameters and code. With this approach,

- you don't ever have to commit to whether your code will be used in a notebook, a data app, in batch processing, or reports.

- you will write less code and be able to develop large, maintainable code bases!

## Mini getting-started

Head over to the [getting started guide](https://panel.holoviz.org/getting_started/index.html) for more!

### Installation Instructions

Panel can be installed on Linux, Windows, or Mac with ``conda``:

```bash

conda install panel

```

or with ``pip``:

```bash

pip install panel

```

See the [Environments](#environments) section below for additional instructions for your environment.

### Interactive data apps

Bring your data or model

```python

def model(n=5):

    return "⭐"*n

```

Bind it to a Panel *widget* and *lay it out*.

```python

import panel as pn

pn.extension()

slider = pn.widgets.IntSlider(value=5, start=1, end=5)

interactive_model = pn.bind(model, n=slider)

layout = pn.Column(slider, interactive_model)

```

![Panel Notebook Example](https://assets.holoviz.org/panel/readme/notebook.gif)

For deployment on a web server wrap it in a nice template.

```python

pn.template.FastListTemplate(

    site="Panel", title="Example", main=[layout],

).servable()

```

Start the server with

```bash

panel serve name_of_script.py --show

```

or

```bash

panel serve name_of_notebook.ipynb --show

```

![Panel Example App](https://assets.holoviz.org/panel/readme/example_app.gif)

## Examples

[![Panel Gallery](https://assets.holoviz.org/panel/readme/gallery.jpg)](https://panel.holoviz.org/gallery/index.html)

[![Panel Chat Examples](https://assets.holoviz.org/panel/readme/panel-chat-examples.jpg)](https://holoviz-topics.github.io/panel-chat-examples/)

[![Awesome Panel Gallery](https://assets.holoviz.org/panel/readme/awesome_panel.jpg)](https://www.awesome-panel.org)

[![HoloViz Examples Gallery](https://assets.holoviz.org/panel/readme/holoviz_examples.jpg)](https://examples.holoviz.org)

## Get started

Develop applications in your favorite notebook or editor environment, including Jupyter(Lab) notebooks, VSCode, Google Colab and many more, [see our getting started guide](https://panel.holoviz.org/getting_started/installation.html#developing-in-different-editors) for more details.

## Support & Feedback

- Usage questions and showcases -> [HoloViz Community](https://holoviz.org/community.html)

- Bug reports and feature requests -> [Github](https://github.com/holoviz/panel)

- Developer discussions -> [Discord](https://discord.gg/rb6gPXbdAr)

For more detail check out the [HoloViz Community Guide](https://holoviz.org/community.html).

## Contributing ❤️

Check out the [Contributing Guide](CONTRIBUTING.MD).

## License

Panel is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).

## Sponsors

The Panel project is also very grateful for the sponsorship by the organizations and companies below: