Data & Analytics
Panel
Open-source Python library for building powerful custom analytics tools, apps, and dashboards.
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Data Apps
About Panel
Panel is a free, open-source Python library from the HoloViz project for building interactive dashboards and data apps. You can turn a Jupyter notebook or a Python script into a web app with widgets, charts and layouts, without writing any JavaScript.
Panel works with the libraries data scientists already use, including pandas, Bokeh, Matplotlib, Plotly, hvPlot and more, and runs in notebooks, on a server or even entirely in the browser via WebAssembly. It also includes chat components for building interfaces on top of large language models, which makes it a good choice for internal AI tools and prototypes.
Good fit if you: work in Python and want to share analyses, models or AI tools as interactive web apps.
Less ideal if you: don't code; a no-code BI tool such as Looker Studio is easier.
Pricing: free and open source (BSD licence).
Panel works with the libraries data scientists already use, including pandas, Bokeh, Matplotlib, Plotly, hvPlot and more, and runs in notebooks, on a server or even entirely in the browser via WebAssembly. It also includes chat components for building interfaces on top of large language models, which makes it a good choice for internal AI tools and prototypes.
Good fit if you: work in Python and want to share analyses, models or AI tools as interactive web apps.
Less ideal if you: don't code; a no-code BI tool such as Looker Studio is easier.
Pricing: free and open source (BSD licence).
Frequently Asked Questions
What is Panel used for?
Panel is a Python library for turning notebooks and scripts into interactive dashboards and web apps.
Is Panel free?
Yes. Panel is free and open source under the BSD licence.
Can Panel build LLM chat apps?
Yes. Panel includes chat components for building interfaces on top of large language models.
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