---
id: panel
version: "1.9.3"
license: BSD
license_treatment: permissive
maintenance: active
---

# panel — The powerful data exploration & web app framework for Python.

License: permissive · Maintenance: active · Downloads: 3.7M/mo

## What it is and what it does

Panel is a Python web application framework that lets you build interactive dashboards and data tools by combining widgets, plots, and tables into layouts without leaving Python. It sits on top of Param for parameter binding and integrates with visualization libraries like bokeh, Plotly, Matplotlib, and Altair. You write Python functions, bind them to interactive widgets, and Panel handles the reactivity and state management.

You can develop in Jupyter notebooks or standard editors and deploy the same code to multiple targets: as a web server using Tornado, Flask, Django, or FastAPI; as a client-side app via Pyodide or PyScript; as a notebook component; or as static HTML, PNG, or GIF exports. The framework relies on 15 runtime dependencies including bokeh, pandas, narwhals, markdown, and markdown-it-py, making it a comprehensive but heavyweight solution for data exploration and application delivery.

Use it for:

- Build interactive financial dashboards that react to user selections and display real-time data summaries
- Create exploratory data analysis tools in notebooks that can be converted to standalone web apps without code changes
- Deploy multi-page applications with complex interactivity and custom layouts to a web server for team collaboration
- Convert Jupyter notebooks to production-ready web applications using panel serve without rewriting logic
- Build client-side data apps that run entirely in the browser via Pyodide or PyScript for offline use

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Panel is a Python framework for building interactive data applications, dashboards, and web apps with widgets, plots, and tables that can be deployed as web services, notebooks, or static exports.

Yes. Panel is actively maintained, permissively licensed, and has low install friction. It is Production/Stable with strong community adoption (top 5000 PyPI packages, 3717238 monthly downloads). Install it if you need to turn Python data work into interactive web apps or dashboards without learning JavaScript or web frameworks. The 15 dependencies are a trade-off for batteries-included functionality; verify they fit your deployment model before committing.

## Install

pip install panel
uv add panel
poetry add panel

## Installing panel

Before you install: Low friction install via pip or conda. Active maintenance with a recent release 74 days ago and 5730 GitHub stars. Supports Python 3.10 through 3.14 with 15 runtime dependencies from the PyData ecosystem.

License in practice: BSD-licensed under permissive terms, allowing commercial use, modification, and distribution with minimal restrictions—suitable for proprietary applications.

Quickstart:

pip install panel

import panel as pn
from bokeh.plotting import figure

pn.extension()
slider = pn.widgets.IntSlider(value=5, start=1, end=10)

def model(n):
    return "⭐" * n

interactive = pn.bind(model, n=slider)
layout = pn.Column(slider, interactive)
layout.servable()

Requires Python 3.10 or later. Deployment to web servers requires Tornado, Flask, Django, or FastAPI.

Verify before relying:

- Performance characteristics for large datasets or high-concurrency web deployments
- Maturity and stability of panel-material-ui relative to core Panel functionality
- Browser compatibility and JavaScript runtime requirements for Pyodide or PyScript deployments

## Package facts

- License: BSD (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 3.7M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

python dashboard framework, interactive data app builder, web app framework python, data visualization dashboard, reactive python widgets, jupyter notebook deployment, python data exploration tool, dashboard-builder, reactive-ui, data-app-framework

[View on SkillFed](https://skillfed.io/packages/panel) · [View on PyPI](https://pypi.org/project/panel/)