Holoviz Python Packages

panel

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

colorcet

A set of useful perceptually uniform colormaps for plotting scientific data

pyviz-comms

Bidirectional communication for the HoloViz ecosystem

holoviews

With Holoviews, your data visualizes itself.

hvplot

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

datashader

Quickly and accurately render even the largest data.

panel-material-ui

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

geoviews

Simple, concise geographical visualization in Python

spatialpandas

Pandas extension arrays for spatial/geometric operations

awesome-panel-extensions

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

panel-highcharts

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

holoviz-mcp

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

awesome-panel-cli

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

awesome-panel

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

pyviz

High-level tools to simplify visualization in Python.

holoviz

High-level tools to simplify visualization in Python.

panel-web-llm

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

sphinx-panel-screenshot

A directive to include panel's screenshots into a Sphinx document

panel-live-server

Panel Live Server is a local Panel web server that executes Python code snippets and renders the resulting visualizations as live, interactive web pages.

mseep-holoviz-mcp

A Model Context Protocol (MCP) server for the HoloViz ecosystem

panel-vegafusion

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