mesop-dev/mesop

Rapidly build AI apps in Python

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Summary Information

Updated 42 minutes ago
Added to GitGenius on September 10th, 2026
Created on October 13th, 2023
Open Issues & Pull Requests: 109 (+0)
GitHub issues: Enabled
Number of forks: 346
Total Stargazers: 6,587 (+0)
Total Subscribers: 36 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 21.9 hours
Mean response time: 49.7 days
90th percentile: 142.7 days
Tracked items: 211

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 45% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. Work labelled "bug" is answered fastest, typically in about 13 hours, while "feature request" waits about 4 days. Only 7% of issues opened in the past year have been closed. Three people close 96% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 42
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 618 days
Stale 30+ days: 42
Stale 90+ days: 42

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (85)
  • feature request (27)
  • wontfix (16)
  • votes needed (8)
  • chatbot (4)
  • good first issues (4)
  • help wanted (4)
  • showcase (4)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Mesop is a Python-based UI framework for rapidly building web applications like demos and internal tools.

Mesop addresses the friction of building web interfaces by letting developers write UI entirely in Python without touching JavaScript, CSS, or HTML. It uses a reactive component model where UI is composed from Python functions, and includes hot reload so changes appear in the browser instantly while preserving application state. The framework provides ready-to-use components and strong type safety through IDE support, making it accessible to developers without web frontend experience.

Mesop suits teams building internal applications, prototypes, and demos where speed matters more than deep customization. It works well for AI app demos and rapid iteration cycles. The tool is particularly valuable if your team is already Python-focused and wants to avoid the context switch to web technologies. Anyone considering adoption should know that the project is no longer maintained as of September 2026, meaning no further updates or bug fixes will be provided.

The project was used internally at Google for rapid app development. The codebase includes comprehensive documentation and a contributing guide for those interested in the framework itself. Security vulnerabilities can be reported through the standard GitHub security issue process.