What Panel does

Panel is an open-source Python library, founded in 2019 and maintained as a non-profit community project, that enables developers to build interactive data applications, dashboards, and tools entirely within Python without requiring JavaScript expertise. The library is built on Param (which provides validation, documentation, and a reactive parameter system) and Bokeh (which provides the underlying rendering infrastructure), and it ships with custom Bokeh models that have both Python and JavaScript components. Panel integrates natively with the broader PyData ecosystem including pandas, HoloViews, hvPlot, Matplotlib, Plotly, Altair, ECharts, Vega, DeckGL, VTK, Folium, and LangChain, and offers multiple deployment paths including server-based (AWS, Azure, GCP, Heroku, Hugging Face) and browser-based (Pyodide, PyScript via WebAssembly). The current release is Panel v1.9.3, with a public roadmap targeting Panel 2.0 in Q2 2026 and Panel 3.0 thereafter; the panel-material-ui extension was released in early 2025.

Panel's business model is fully open-source under the BSD-3-Clause license with no commercial product, subscription, paid tier, or pricing structure. Distribution is self-serve through PyPI, conda-forge, Anaconda, and GitHub, and go-to-market is community-led via GitHub, Discord, Discourse, X (@Panel_Org), and an extensive documentation and tutorial corpus. The project is sustained by sponsorships from Anaconda, Blackstone, NumFOCUS, and Quansight rather than venture capital or commercial revenue. Panel serves a horizontal user base including Python developers, data scientists, enterprise data teams building internal BI and monitoring tools, and academic researchers and educators, addressing pain points around Python-only interactivity, rapid prototyping-to-production workflows, and authentication/authorization for deployed data applications.

Name

Panel

Legal name

Panel (open-source project under HoloViz ecosystem)

Website

https://panel.holoviz.org

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Panel is an open-source Python library under the HoloViz ecosystem that lets Python developers and data scientists build interactive data applications and dashboards without JavaScript. It integrates with the PyData stack and is sustained by community sponsorship rather than commercial revenue.

Ownership category

akta.pro rank

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Open-source software (no commercial revenue): Panel is a fully open-source project distributed under a permissive license (BSD-3-Clause). There is no commercial product, subscription, or paid tier. The project is community-driven and supported by sponsors including Anaconda, Blackstone, NumFOCUS, and Quansight.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels6 records

Core offering

Panel is an open-source Python library that enables developers and data scientists to build interactive data applications, dashboards, and tools entirely in Python, without writing JavaScript. Built on Param and Bokeh, it provides a reactive UI framework that integrates natively with the PyData ecosystem (pandas, HoloViews, hvPlot, Matplotlib, Plotly, Altair, Vega, ECharts, etc.) and supports deployment from notebooks to scalable production servers, including WebAssembly-based in-browser execution.

Differentiator

Problem solved

Functional benefit

Products and services

• Panel (Python library) An open-source Python library that lets developers and data scientists build interactive data applications, dashboards, and tools entirely in Python. It targets Python developers, data scientists, enterprise data teams, and researchers who need to turn Python analyses into interactive, shareable, secure web applications without writing JavaScript. Distributed under the BSD-3-Clause license.
• panel-material-ui An extension library for Panel that provides modern Material Design UI components, planned for integration into Panel core in upcoming releases.

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration22 records

AI capability10 records

Feature11 records

Partnerships

Three partnerships are on record, tiered core.

• HoloViz ecosystem (HoloViews, hvPlot, GeoViews, Datashader, Param, Lumen, Colorcet)coreTechnology or IntegrationPanel is a proud member of the HoloViz ecosystem, providing a gateway to a cohesive suite of data exploration tools. The ecosystem includes HoloViews for declarative data visualization, hvPlot for quick interactive plots from pandas/Xarray, GeoViews for geographic data, Datashader for rasterizing large datasets, Param for parameter management, Lumen for visual analytics from YAML specs, and Colorcet for perceptually uniform colormaps.
• BokehcoreTechnology or IntegrationPanel builds on Bokeh for its underlying rendering infrastructure and custom Bokeh models. Panel ships with custom Bokeh models that have both Python and JavaScript components for interactive web applications.
• ParamcoreTechnology or IntegrationPanel builds on Param, a library for adding validation, documentation, and interactivity to projects. Param provides the foundational reactive parameter system that Panel uses for UI generation and reactivity.

Scale indicators1 record

Recent moves6 records

Expansion highlights5 records

Direct peers

• ipywidgets: ipywidgets provides interactive HTML widgets for Jupyter notebooks; Panel's documentation includes an explicit comparison. Both enable Python users to add interactivity to notebooks/data apps, with significant overlap in persona (Python data scientists).
• Plotly Dash: Dash is a Python framework for building analytical web applications, also explicitly compared in Panel's documentation. Both serve data scientists building dashboards and interactive data tools using Python, with overlapping integrations to Plotly charts and similar deployment patterns.
• Streamlit: Streamlit is the most direct competitor to Panel: a Python-first framework for building interactive data apps and dashboards. Both target data scientists and Python developers seeking to deploy notebooks as web apps; Panel's documentation explicitly compares itself against Streamlit.
• Gradio: Gradio is a Python library for building interactive ML/demo interfaces (often used for LLM and model demos) and competes with Panel's chat and ML-focused use cases. Both target Python developers building interactive apps quickly, with strong LLM/AI applicability.
• Bokeh: Bokeh is the rendering engine Panel builds upon and is explicitly benchmarked in Panel's documentation. While Bokeh is a lower-level plotting library and Panel is a higher-level app framework, they share users and use cases in the Python data-viz/dashboarding space.
• Voila: Voila converts Jupyter notebooks into standalone interactive web apps and is directly compared against Panel on Panel's site. Both serve Python users who want to turn notebooks into shareable dashboards without bespoke web development.

Emerging players

• Observable: Observable is a JavaScript-based reactive notebook/data-app platform; observable-plot/mosaic toolchain targets the same kind of rapid exploratory data apps Panel serves, though for JS-first users. Conceptually adjacent as reactive Python/JS notebook-to-app tools.
• HoloViz Lumen: Lumen is a sibling project within the same HoloViz ecosystem as Panel, providing visual analytics from YAML specs. They share maintainers and integrations and compete for the same HoloViz/Param-based user base on overlapping dashboard-building workflows.

Broad incumbents

• Apache Superset: Apache Superset is a mature open-source data exploration and visualization platform. It overlaps with Panel's enterprise dashboard use case but is a much broader BI platform rather than a Python-developer-focused app framework.
• Posit Shiny: Shiny (from Posit/RStudio) is an established framework for interactive web apps originating in R, with growing Python support. It addresses the same data-app-building use case as Panel from a broader incumbent vendor with commercial products and an integrated data-science stack.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/Panel_Org
• GitHubgithub.com/holoviz/panel
• LinkedInlinkedin.com/company/panel-org

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Panel