The open-source Python library Panel has announced a partnership with Hugging Face, introducing a dedicated template for Hugging Face Spaces. This integration allows developers to quickly build and deploy interactive dashboards and complex applications entirely in Python, with seamless hosting on Hugging Face's platform.
Panel, part of the HoloViz ecosystem, offers a batteries-included approach, supporting a wide range of plotting libraries such as Matplotlib, Seaborn, Altair, Plotly, and Bokeh. Its unique strength lies in providing consistent interactivity whether in Jupyter notebooks or standalone deployments. Users can build sophisticated multi-page apps, stream real-time data, and even run Panel in the browser via Pyodide and WebAssembly.
To get started, users can visit the Panel template on Hugging Face and launch a new space. The collaboration aims to lower the barrier for data scientists and developers to share their work. For more details, the Panel documentation includes a dedicated guide for Hugging Face deployment.
Panel invites the community to connect through its Discord, Discourse forum, Twitter, LinkedIn, and GitHub.