zauberzeug/nicegui

Create web-based user interfaces with Python. The nice way.

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Summary Information

Updated 18 minutes ago
Added to GitGenius on September 3rd, 2026
Created on May 7th, 2021
Open Issues & Pull Requests: 77 (+0)
GitHub issues: Enabled
Number of forks: 945
Total Stargazers: 16,189 (+0)
Total Subscribers: 93 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.2 hours
Mean response time: 42.3 hours
90th percentile: 3.2 days
Tracked items: 656

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 64% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. Only 5% of issues opened in the past year have been closed. Three people close 85% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 25
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 32 days
Stale 30+ days: 4
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 2
Events in 7 days: 4

Top labels

  • bug (264)
  • review (228)
  • question (65)
  • analysis (53)
  • feature (49)
  • documentation (46)
  • 🟡 medium (38)
  • 🟠 major (31)

Detailed Description

NiceGUI is a Python framework for building web-based user interfaces without writing JavaScript or HTML.

The framework addresses the challenge of creating interactive web applications while staying entirely within Python. It works by providing a set of Python decorators and functions that generate web UI components and handle client-server communication automatically. Developers write Python code that describes the interface, and NiceGUI renders it as a web application accessible through a browser.

NiceGUI suits developers who want to build web interfaces quickly without learning frontend technologies, particularly those working on robotics projects, data visualization, or internal tools where rapid prototyping matters more than deep customization. It works well for applications that need interactive dashboards, control panels, or monitoring interfaces. The framework is especially valuable for teams already invested in Python who want to avoid the context-switching cost of learning JavaScript or managing separate frontend and backend codebases.

The project shows consistent development activity with regular updates and refinements to its core functionality. The maintainers actively respond to issues and incorporate user feedback into releases. Development focuses on expanding the component library and improving the developer experience rather than pursuing architectural overhauls. The project maintains a stable API while gradually adding new UI elements and capabilities based on community needs.