Panel on Hugging Face
philippjfr, sophiamyang
We are thrilled to announce the collaboration between Panel and Hugging Face! 🎉 We have integrated a Panel template in Hugging Face Spaces to help you get started building Panel apps and deploy them on Hugging Face effortlessly. 

<a href="https://huggingface.co/new-space?template=Panel-Org/panel-template"> <img src="https://huggingface.co/datasets/huggingface/badges/raw/main/deploy-to-spaces-lg.svg"/> </a>


## What does Panel offer? 

[Panel](https://panel.holoviz.org/) is an open-source 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. Panel, like the other HoloViz tools, is a NumFocus-sponsored project, with support from Anaconda and Blackstone.

Here are some notable features of Panel that our users find valuable. 

- Panel provides extensive support for various plotting libraries, such as Matplotlib, Seaborn, Altair, Plotly, Bokeh, PyDeck,Vizzu, and more.
- All interactivity works the same in Jupyter and in a standalone deployment. Panel allows seamless integration of components from a Jupyter notebook into a dashboard, enabling smooth transitions between data exploration and sharing results.
- Panel empowers users to build complex multi-page applications, advanced interactive features, visualize large datasets, and stream real-time data.
- Integration with Pyodide and WebAssembly enables seamless execution of Panel applications in web browsers.

Ready to build Panel apps on Hugging Face? Check out our [Hugging Face deployment docs](https://panel.holoviz.org/how_to/deployment/huggingface.html#hugging-face), click this button, and begin your journey:


<a href="https://huggingface.co/new-space?template=Panel-Org/panel-template"> <img src="https://huggingface.co/datasets/huggingface/badges/raw/main/deploy-to-spaces-lg.svg"/> </a>

<a href="https://huggingface.co/new-space?template=Panel-Org/panel-template">
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/spaces-panel.png" style="width:70%"> </a>


## 🌐 Join Our Community
The Panel community is vibrant and supportive, with experienced developers and data scientists eager to help and share their knowledge. Join us and connect with us:

- [Discord](https://discord.gg/aRFhC3Dz9w)
- [Discourse](https://discourse.holoviz.org/)
- [Twitter](https://twitter.com/Panel_Org)
- [LinkedIn](https://www.linkedin.com/company/panel-org)
- [Github](https://github.com/holoviz/panel)