# holoviz/panel

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

Repository: https://github.com/holoviz/panel
Canonical: https://ross.abutalabs.com/products/panel
Homepage: https://panel.holoviz.org
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: holoviz, panel, dashboards, control-panels, gui, dataapp, dataviz, bokeh, datascience, holoviews, hvplot, jupyter, matplotlib, plotly
Last push: 2026-08-26T16:25:35+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 2932, "days_push": 7, "days_rel": 16, "gap_med": 20, "n_releases_24m": 32}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5762, forks 624 (observed 2026-08-28T04:09:29.338965+00:00)

## What it is
Panel is an open-source Python framework for building interactive dashboards, data apps, and web applications entirely in Python. It integrates with the PyData ecosystem (Bokeh, Plotly, Matplotlib, HoloViews, hvPlot) and offers both high-level reactive APIs and callback-based APIs, deployable standalone or embedded in FastAPI, Django, or Flask.

## Use cases
- build interactive dashboards in python
- create data exploration web apps without javascript
- turn jupyter notebooks into shareable web apps
- add interactive widgets to matplotlib or plotly plots
- embed a python dashboard in fastapi or flask
- build multi-page analytical applications in python

## When to choose
- you want to build dashboards or data apps purely in Python
- you work in the PyData ecosystem with pandas, Bokeh, Plotly, or HoloViews
- you need both quick exploratory tools and complex multi-page apps
- you want Jupyter integration and multiple plotting-library backends

## When to avoid
- you need a general-purpose frontend or traditional web UI framework
- you require pixel-perfect custom web design rather than data-centric layouts
- you want a lightweight static site with no Python server

## Facets
- artifact type: framework
- maturity: active
- function: web-framework, data-visualization, gui, ui-components, state-management, charts
- domain: data-visualization, data-science, web-development, developer-tools, analytics
- platform: python, cross-platform, windows
- tags: dashboards, jupyter, bokeh, holoviz, plotly, matplotlib, reactive-apis, data-apps, interactive-widgets, web-server, linux, macos

## Member repositories
- holoviz/panel (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.338965+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:52:57.341759+00:00, confidence not recorded.
  - readme: https://github.com/holoviz/panel (fetched 2026-08-28T04:09:29.338965+00:00, sha 688a39261069)
  - homepage: https://panel.holoviz.org (fetched 2026-08-29T08:48:29.320879+00:00, sha 6f649456fd40)
  - site_page: https://panel.holoviz.org/about/releases.html (fetched 2026-08-29T08:48:29.323902+00:00, sha 83b6e52d2737)
  - site_page: https://panel.holoviz.org/about/index.html (fetched 2026-08-29T08:48:29.331857+00:00, sha b03362a9d1f0)
  - site_page: https://panel.holoviz.org/getting_started/installation.html (fetched 2026-08-29T08:48:29.333398+00:00, sha 4d003dee27d5)
  - site_page: https://panel.holoviz.org/FAQ.html (fetched 2026-08-29T08:48:29.329513+00:00, sha e8aba8feae24)
  - site_page: https://panel.holoviz.org/how_to/integrations/index.html (fetched 2026-08-29T08:48:29.335112+00:00, sha a2a44d9de48f)
  - site_page: https://panel.holoviz.org/how_to/integrations/FastAPI.html (fetched 2026-08-29T08:48:29.337300+00:00, sha 7d0a1acc1b5e)
  - site_page: https://panel.holoviz.org/how_to/integrations/FastAPI_Tornado.html (fetched 2026-08-29T08:48:29.339229+00:00, sha c410d92663aa)
  - site_page: https://panel.holoviz.org/how_to/integrations/flask.html (fetched 2026-08-29T08:48:29.341215+00:00, sha e0c178a4e677)
- Data as of 2026-08-30T08:39:29.467469+00:00.