gradio vs vizro

Python tools for interactive apps and dashboards compared

gradio turns Python functions, models, or APIs into browser-based interfaces, while vizro builds configurable data visualization dashboards. Their main difference is scope: gradio supports a range of interactive app patterns, whereas vizro focuses on multi-page dashboards in the Plotly and Dash ecosystem.

gradiovizro
LanguagePythonPython
LicenseApache-2.0Apache-2.0
Stars43.7k3.8k
Forks3.6k303
Last analyzedOct 3, 2026Oct 24, 2026

Key differences

  • gradio wraps Python functions, models, or APIs in interfaces; vizro assembles data visualization apps from configuration.
  • gradio supports standard input-output flows, custom Blocks layouts, and chat interfaces; vizro focuses on dashboards with pages, charts, filters, and navigation.
  • gradio can launch apps locally or create a public share link; vizro is described as supporting dashboard prototyping and production deployment.
  • vizro uses Pydantic models, JSON, YAML, or Python dictionaries for configuration; gradio emphasizes Python interfaces and layouts.
  • Both use Python and the Apache-2.0 license. The supplied project facts list 43.7k stars and 3.6k forks for gradio, and 3.8k stars and 302 forks for vizro.

Choose gradio if you…

  • need to put a Python function, model, or API behind an interactive browser interface.
  • want to create a demo with text or image components, a chatbot interface, or a custom Blocks layout.
  • want to launch an app locally or share a running demo through a public link.
Read the gradio analysis →

Choose vizro if you…

  • want to build a configurable, multi-page data visualization dashboard.
  • need dashboard components such as charts, tables, KPI indicators, filters, and navigation.
  • want to extend dashboard configuration with custom code in the Plotly and Dash ecosystem.
Read the vizro analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.