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Panel

1Powerful 2Python 3dashboards 4from 5data 6exploration

the six Ws · specification

W1 Who

Data scientists and engineers building exploratory dashboards and apps on top of Python data tools.

W2 What

Panel is an open source HoloViz framework for turning Python scripts, Jupyter notebooks, and plotting libraries into shareable web apps and dashboards.

W3 Where

Runs self-hosted via Bokeh server or exportable static HTML, and works inside Jupyter environments directly.

W4 When

Used when a team needs rich, linked, interactive visual apps that stay in native Python and Pandas or Xarray workflows.

W5 Why

It integrates broadly with Matplotlib, Plotly, Bokeh, and Altair so teams are not locked into one plotting library.

W6 With

Built on Bokeh for rendering and Param for reactive parameters, part of the broader HoloViz ecosystem.

W7 Watch

Open source, BSD 3 Clause licensed, self-hosted, actively maintained by HoloViz and Anaconda with roughly 5700 GitHub stars.

pythondashboarddata-vizjupyterholoviz

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