Panel: The powerful data exploration & web app framework for Python

Quickly and accurately render even the largest data.

With Holoviews, your data visualizes itself.

A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

High-level tools to simplify visualization in Python.

A set of useful perceptually uniform colormaps for plotting scientific data

Simple, concise geographical visualization in Python

Awesome Panel supports Panel and its users. We want to show how awesome the framework is and help push it forward. ❤️🐍📈

Pandas extension arrays for spatial/geometric operations

A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.

📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.

Visualization-focused examples using HoloViz for specific topics

A repository of awesome panel examples. The apps are running entirely in the browser as webassembly apps. NO SERVER REQUIRED.

The purpose of this repository is to make it as easy as possible to develop and use awesome Panel extensions.

Bidirectional communication for the HoloViz ecosystem

An extension for Panel that integrates Material UI components, enabling developers to create modern, responsive, and visually consistent web apps in Python with ease

✨A MCP server that provides intelligent access to the HoloViz ecosystem for humans and AIs.

HoloViz+Bokeh for Neuroscience

Lightweight Python application for sorting images in your dataset

The Awesome Panel CLI makes it super simple to develop high-quality data apps with Panel 💪

Build interactive big data apps with Altair and Vega easily using Panel + VegaFusion.

This dashboard displays the near real-time position of any bus, tram, or train (ATAC and Roma TPL operators) within the Metropolitan City of Rome Capital.

A simple Panel-based dashboard visualizing geotagged tweets with hvplot and Datashader.

Collection of short geospatial scripts and more...

The purpose of this project is to make it easy to use the HoloViz ecosystem with Quarto

A collection of Python notebooks and applications related to Earth Observation (EO) sector.

Extends HoloViz Panel with an interface that wraps a client-side LLM.

Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare

Interactive HoloViz visualizations rendered inline in AI chat UIs via MCP Apps Standard

Python based visualization of IWFM input and output