{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks"},{"label":"Front-Ends","url":"https://skillfed.io/packages/category/database-front-ends"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"},{"label":"Widget Sets","url":"https://skillfed.io/packages/category/software-development-widget-sets"},{"label":"Spreadsheet","url":"https://skillfed.io/packages/category/office-business-financial-spreadsheet"}],"enrichment":{"capability":"Dash is a Python framework for building interactive web applications with reactive UI elements like dropdowns and graphs tied directly to analytical code, using Flask and Plotly for rendering.","skillfed_tags":["web-framework","data-visualization","reactive-ui"],"use_cases":["Build interactive financial dashboards that update graphs when users select date ranges or filter criteria from dropdowns.","Create ML model exploration interfaces where users adjust parameters and see real-time predictions or classification results.","Develop data exploration tools that let analysts cross-filter multiple visualizations from a single dataset.","Deploy internal business intelligence reports with styled layouts that look like PDF reports but are fully interactive.","Build scientific research dashboards that visualize experimental data with interactive controls for parameter tuning."],"what_it_does":"Dash is a Python web framework built on Flask, Plotly.js, and React that lets you build interactive data applications by declaring UI components and connecting them to Python callbacks. You write pure Python\u2014no JavaScript required\u2014to tie dropdowns, sliders, graphs, and other elements to your analytical logic, and Dash handles the reactive updates when users interact with the app.\n\nThe framework is designed for data science and ML workflows and runs on your local machine or can be deployed to a server. It handles both simple single-page dashboards and complex multi-input applications with cross-filtering. The package depends on Flask for the web server, Plotly for charting, Pydantic for validation, and several async utilities; it requires Python 3.9 or later.","worth_installing":"Yes. Dash is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively under MIT. It is well-suited for building interactive web applications in Python without requiring JavaScript expertise. Install it if you need to turn analytical Python code into interactive dashboards or data apps."},"id":"dash","links":{"html":"https://skillfed.io/packages/dash","md":"https://skillfed.io/packages/dash.md","pypi":"https://pypi.org/project/dash/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-21","license_spdx":null,"license_treatment":"permissive","name":"dash","python_support":"supports_current","summary":"A Python framework for building reactive web-apps. Developed by Plotly."},"popularity":{"monthly_downloads":11414321,"position":1396,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.4.1"}