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✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
High performance self-hosted photo and video management solution.
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Open source API development ecosystem - https://hoppscotch.io (open-source alternative to Postman, Insomnia)
Model Context Protocol Servers
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
🎉 A Vue.js 3 UI Library made by Element team
NVR with realtime local object detection for IP cameras
🚀A simple & beautiful tool for pictures uploading built by vue-cli-electron-builder
One second to read GitHub code with VS Code.
The easiest way to run WireGuard VPN + Web-based Admin UI.
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
支持 Python3、JavaScript、Shell、Typescript 的定时任务管理平台（Timed task management platform supporting Python3, JavaScript, Shell, Typescript）
A Vue 3 Component Library. Fairly Complete. Theme Customizable. Uses TypeScript. Fast.
A lightweight, extendable front-end developer tool for mobile web page.
A lightweight Node.js private proxy registry
Vite & Vue powered static site generator.
Omnivore is a complete, open source read-it-later solution for people who like reading.
🚀 A robust, performance-focused, and full-featured Redis client for Node.js.
A clean, elegant, beautiful and powerful admin template, based on Vue3, Vite7, TypeScript, Pinia, NaiveUI and UnoCSS. 一个清新优雅、高颜值且功能强大的后台管理模板，基于最新的前端技术栈，包括 Vue3, Vite7, TypeScript, Pinia, NaiveUI 和 …
A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架，支持实现脑图、ER图、UML、工作流等各种图编辑场景。
🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案，支持 OpenAI，Midjourney，Claude，讯飞星火，Stable Diffusion，DALL·E，ChatGLM，通义千问，腾讯混元，360 智脑，百川 AI，火山方舟，新必应，Gemini，Moonshot …
NSFW detection on the client-side via TensorFlow.js