MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.

📦 🚀 Blazing fast, simple and complete solution for micro frontends.

A starter-kit for TDesign Vue Next UI components

A Vue3.x UI components lib for TDesign.

A comprehensive React UI components library based on Arco Design

Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!

An ebook reader for the Nintendo DS

The one and only one gfwlist here

draw.io is a JavaScript, client-side editor for general diagramming.

A modern and practical kafka GUI client 💕🎉Kafka-King 是一款现代化、实用的 Kafka GUI 客户端，旨在通过直观的桌面界面简化 Apache Kafka 管理。作为一款跨平台应用程序，它为开发人员和管理员提供了强大的工具，可与 Kafka 集群交互，无需依赖命令行界面或基于 Web 的解决方案。

前端低代码框架，通过 JSON 配置就能生成各种页面。

GraphQL is a query language and execution engine tied to any backend service.

《ECMAScript 6入门》是一本开源的 JavaScript 语言教程，全面介绍 ECMAScript 6 新增的语法特性。

GraphQL Java implementation

Spring Integration for GraphQL

🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 …

腾讯柠檬清理是针对macOS系统专属制定的清理工具。主要功能包括重复文件和相似照片的识别、软件的定制化垃圾扫描、可视化的全盘空间分析、内存释放、浏览器隐私清理以及设备实时状态的监控等。重点聚焦清理功能，对上百款软件提供定制化的清理方案，提供专业的清理建议，帮助用户轻松完成一键式清理。

Wechat MiniProgram and Uniapp UI components lib for TDesign

The AI-Native Infrastructure for Enterprise Apps. Powered by ObjectStack (ObjectQL, ObjectOS, Object UI). Turn Prompts into Enterprise Software.

The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.

SpringBoot整合MyBatis-Plus，源码学习，增删改查，Lamdba支持

MVC【以mybatis-plus为orm框架】迁移至DDD的demo

🚀一个用来深入学习并实战 Spring Boot 的项目。

Translation plugin for IntelliJ-based IDEs/Android Studio.

京东风格的移动端 React 组件库 、支持多端小程序(A React UI Toolkit for Mobile Web)

开放式跨端跨框架解决方案，支持使用 React/Vue 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5/React Native 等应用。 https://taro.zone/

Intelligent adaptive brightness for your external monitors

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.