Panel
A Python library for building interactive data exploration tools, dashboards, and complex web applications entirely in Python.
What is Panel?
Panel is a Python library that allows users to build interactive web applications, dashboards, and data exploration tools entirely in Python. It solves the problem of creating complex, interactive data interfaces without requiring separate frontend development, by integrating seamlessly with the PyData ecosystem and popular visualization libraries. It enables both quick prototyping and the development of sophisticated, multi-page applications with rich user interactions.
Data scientists, researchers, and Python developers who need to create interactive dashboards, data exploration tools, or complex web applications without leaving the Python ecosystem. It's ideal for those working in Jupyter notebooks or Python-centric environments who want to share their analyses as deployable web apps.
Developers choose Panel for its deep integration with the PyData stack, its flexibility in deployment options (from server-based apps to client-side WASM), and its ability to support both simple exploratory apps and complex, production-grade applications. Its unique combination of high-level reactive APIs and low-level callback APIs provides a smooth path from prototyping to advanced customization.
Overview
Panel: The powerful data exploration & web app framework for Python
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