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Panel on Hugging Face

Back to Articles Panel on Hugging Face Published June 22, 2023 Update on GitHub Upvote - Rudiger philippjfr Follow guest Sophia Yang sophiamyang Follow guest We are thrilled to announce the collaborat...

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Panel on Hugging Face

Rudiger
Sophia Yang

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.

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What does Panel offer?

Panel 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 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 , click this button, and begin your journey:

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🌐 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
  • Discourse
  • Twitter
  • LinkedIn
  • Github

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