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Build powerful data exploration tools, dashboards, and web applications entirely in Python.

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TL;DR - Panel

  • Develop interactive data apps and dashboards entirely in Python.
  • Integrates seamlessly with the PyData ecosystem and various plotting libraries.
  • Supports rapid development of exploratory apps and complex multi-page applications.
Pricing: Free forever
Best for: Individuals & startups

Pros & Cons

Pros

  • Open-source and free for commercial and non-commercial use
  • Develops entirely within Python, leveraging existing Python skills
  • Seamless integration with the PyData ecosystem
  • Supports rapid prototyping and complex application development
  • Part of the cohesive HoloViz suite of tools

Cons

  • Requires Python knowledge
  • Dependency on specific Python libraries (e.g., pandas not installed by default from 1.9.0)

Key Features

High-level reactive APIsLower-level callback-based APIsInteractive data tablesData visualizationsBi-directional communication for data appsInteractive big data applications with crossfilteringStreaming data applicationsIn-browser application execution

Pricing

Free

Panel is completely free to use with no hidden costs.

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What is Panel?

Editorial review
Panel is an open-source Python library designed for developing robust data tools, interactive dashboards, and complex web applications using only Python. It seamlessly integrates with the PyData ecosystem, providing capabilities for creating powerful, interactive data tables and visualizations. Panel offers both high-level reactive APIs for rapid development of exploratory applications and lower-level callback-based APIs for intricate, multi-page applications with extensive interactivity. This tool is ideal for data scientists, developers, and anyone in the PyData community who wants to unlock, visualize, share, and collaborate on their data efficiently. It enables users to combine various PyData tools and plotting libraries, iterate quickly on data tools, and create high-performing, streaming, and production-ready web applications, including those that can run entirely in the browser. Panel is a member of the HoloViz ecosystem, providing a cohesive suite of data exploration tools.

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Panel FAQ

What is Panel?

Panel is an open-source Python library for building interactive data tools, dashboards, and web applications entirely within Python. It integrates with the PyData ecosystem for data visualization and exploration.

How much does Panel cost?

Panel is open-source and available under a BSD license, making it free for both commercial and non-commercial use.

Is Panel free?

Yes, Panel is completely free and open-source.

Who is Panel for?

Panel is for data scientists, developers, and anyone in the PyData community who wants to create interactive data applications, dashboards, and web tools using Python, leveraging their existing PyData and plotting library knowledge.

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