mengxi-ream/read-frog

🐸 Read Frog - Language Learning & Translate | 🐸 陪读蛙 - 语言学习与翻译

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Summary Information

Updated 40 minutes ago
Added to GitGenius on September 6th, 2026
Created on April 16th, 2025
Open Issues & Pull Requests: 84 (+0)
GitHub issues: Enabled
Number of forks: 674
Total Stargazers: 9,514 (+0)
Total Subscribers: 24 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.6 hours
Mean response time: 7.6 days
90th percentile: 16.1 days
Tracked items: 726

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 80% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 24% of tracked open issues have had no activity in three months. Only 9% of issues opened in the past year have been closed. Three people close 86% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 82
New in 7 days: 3
Closed in 7 days: 2
Avg open age: 124 days
Stale 30+ days: 52
Stale 90+ days: 21

Recent activity

Opened in 7 days: 3
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (327)
  • enhancement (300)
  • app: browser extension (277)
  • Stale (156)
  • on-hold (89)
  • translation style (82)
  • good first issue (81)
  • browser: Chrome (57)

Detailed Description

Read Frog is a browser extension that provides AI-powered language learning and translation capabilities. It supports immersive translation, article analysis, and integration with multiple AI models to help users master languages directly within their browser.

The tool addresses the challenge of learning languages efficiently by combining translation with contextual understanding. It works by analyzing selected text or entire web pages and leveraging AI providers to deliver translations that account for context rather than word-for-word conversion. The extension offers selection-based translation, full-page bilingual translation modes, subtitle translation for video content, text-to-speech functionality, and batch processing capabilities. Users can choose from over twenty AI providers to power their translations and learning experience.

Developers and language learners at any level should consider this tool if they want translation and learning features integrated into their daily browsing without switching applications. It suits anyone reading content in foreign languages online, from casual readers wanting quick translations to serious language learners seeking deeper comprehension. The project is actively developed and welcomes feedback on issues encountered during use.

The project maintains steady development activity with regular updates and community engagement. The maintainers actively solicit user feedback through issue tracking and have established multiple communication channels for community participation. The codebase is written in TypeScript and built with React, indicating a focus on maintainable, type-safe code. The project provides comprehensive documentation including tutorials and a blog, suggesting investment in user onboarding and knowledge sharing.