Home Projects read-frog
read-frog
TypeScript

read-frog

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

by mengxi-ream · GitHub
Stars
Forks
License
Created
Last commit
Language
browser-extensionchinesechrome-extensionGPL-3.0TypeScript
View on GitHub
In plain words

Use a browser extension to translate languages and analyze articles with AI support.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
read-frog — GitHub preview card
📈 Star history
9k8k
2026-07-042026-08-31
📈 Track read-frog

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

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

read-frog has 9.4k stars on GitHub. It has been forked 665 times. read-frog is written mainly in TypeScript. It has been in active development since 2025. read-frog is available under the GPL-3.0 license. Its main topics are browser-extension, chinese, chrome-extension, deepseek.

Frequently asked questions

What is read-frog?

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

Is read-frog open source?

read-frog is an open-source project. It is released under the GPL-3.0 license.

Is read-frog free?

Yes. read-frog is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does read-frog use?

read-frog is available under the GPL-3.0 license.

What language is read-frog written in?

read-frog is written mainly in TypeScript.

🏅 Maintainer of this project?
olud.ai badge — read-frog

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=mengxi-ream-read-frog)](https://olud.ai/project/mengxi-ream-read-frog.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.