Best practices for developing tools, dashboards and interactive data apps with HoloViz Panel. Create reactive, component-based UIs with widgets, layouts, templates, and real-time updates. Use when developing interactive data exploration tools, dashboards, data apps, or any interactive Python web application. Supports file uploads, streaming data, multi-page apps, and integration with HoloViews, hvPlot, Pandas, Polars, DuckDB and the rest of the HoloViz and PyData ecosystems.
How to install panel?
marcskovmadsen/holoviz-mcp/panel
$npx -y skills add marcskovmadsen/holoviz-mcp --skill panelInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/marcskovmadsen/holoviz-mcp" --skill "marcskovmadsen/holoviz-mcp/panel"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/marcskovmadsen/holoviz-mcp" that are relevant to the current task. Run `npx skills add "https://github.com/marcskovmadsen/holoviz-mcp"` and select the relevant skills, then follow their instructions.
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