panel
The powerful data exploration & web app framework for Python.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Deployment to web servers requires Tornado, Flask, Django, or FastAPI.
- Low friction install via pip or conda.
License · maintenance · safety
BSD (permissive) — BSD-licensed under permissive terms, allowing commercial use, modification, and distribution with minimal restrictions—suitable for proprietary applications.
last release 2026-06-01 (74 days) · last repo commit 2026-08-14 · 5,730 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,717,238 downloads/mo, #2,519 on PyPI
Alternatives
Verify before relying
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()- 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
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 on this page. Verify before relying on it.
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
panel on PyPI
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.
Requires Python 3.10 or later. Deployment to web servers requires Tornado, Flask, Django, or FastAPI.
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()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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 15 packagesbokehlinkify-it-pymarkdownmarkdown-it-pymdit-py-pluginsnarwhalsnh3packagingpandaspanel-material-uiparampyviz-commsrequeststqdmtyping-extensions |
| Maintenance | Actively maintained 74 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,717,238 / month, #2,519 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Financial and Insurance IndustryIntended Audience :: Healthcare IndustryIntended Audience :: Information TechnologyIntended Audience :: Legal IndustryIntended Audience :: Other AudienceIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Office/BusinessTopic :: Office/Business :: FinancialTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries |
Evidence: panel-1.9.3-py3-none-any.whl
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See also bokeh · panel-material-ui · solara · solara-ui · solara-server · dash · ipywidgets · grafana-foundation-sdk · pygwalker · h2o-wave