{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/3"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"},{"label":"Office/Business","url":"https://skillfed.io/packages/category/office-business"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"},{"label":"Financial","url":"https://skillfed.io/packages/category/office-business-financial"}],"enrichment":{"capability":"Panel is a Python framework for building interactive data applications, dashboards, and web apps with widgets, plots, and tables that can be deployed as web services, notebooks, or static exports.","skillfed_tags":["dashboard-builder","reactive-ui","data-app-framework"],"use_cases":["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"],"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.\n\nYou 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.","worth_installing":"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."},"id":"panel","links":{"html":"https://skillfed.io/packages/panel","md":"https://skillfed.io/packages/panel.md","pypi":"https://pypi.org/project/panel/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-01","license_spdx":null,"license_treatment":"permissive","name":"panel","python_support":"supports_current","summary":"The powerful data exploration & web app framework for Python."},"popularity":{"monthly_downloads":3717238,"position":2519,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.9.3"}