reflex-dev/reflex

πŸ•ΈοΈ Web apps in pure Python 🐍

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Summary Information

Updated 43 minutes ago
Added to GitGenius on April 22nd, 2024
Created on October 25th, 2022
Open Issues & Pull Requests: 338 (+0)
Number of forks: 1,770
Total Stargazers: 28,847 (+0)
Total Subscribers: 179 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.8 days
Mean response time: 91.6 days
90th percentile: 359.8 days
Tracked items: 1,303

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 66% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. Work labelled "roadmap" is answered fastest, typically in about 10 hours, while "needs investigation" waits about 10 months. 71% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 10% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 243
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 300 days
Stale 30+ days: 224
Stale 90+ days: 206

Recent activity

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

Top labels

  • bug (617)
  • enhancement (351)
  • feature request (262)
  • needs investigation (114)
  • documentation (70)
  • components bug (42)
  • roadmap (38)
  • cannot repro (32)

Detailed Description

Reflex is a Python library designed to enable developers to build full-stack web applications entirely in Python, eliminating the need to learn JavaScript for frontend development. The framework allows developers to write both the frontend and backend components of their applications using pure Python code, then deploy these applications in seconds. The repository emphasizes performance and customization, positioning itself as accessible for beginners while remaining capable of scaling to complex applications.

The core value proposition of Reflex centers on reducing the barrier to entry for web development by consolidating the technology stack into a single language. Developers can define user interfaces, manage application state through Python classes, and handle events through event handlers without context-switching between multiple programming languages. The framework includes fast refresh capabilities during development, allowing developers to see code changes reflected instantly in the running application.

This concentrated contributor activity suggests a well-maintained project with dedicated maintainers.

Reflex provides additional tooling and services beyond the core framework. The AI Builder feature enables developers to generate full-stack Reflex applications in seconds, while the Agent Toolkit allows integration of Model Context Protocol and Skills with coding assistants. The project also offers App Management capabilities for deploying and managing Reflex applications in production environments.

The installation process emphasizes using virtual environments to ensure proper command availability, and the framework supports rapid project initialization through tools like uv. The example applications in the documentation demonstrate practical use cases, such as building image generation applications that integrate with external AI models, showcasing how Reflex handles UI definition, state management, and asynchronous operations within a unified Python codebase.