Stars
💫 Toolkit to help you get started with Spec-Driven Development
Open-source AI agents for penetration testing
🎯 告别信息过载，AI 助你看懂新闻资讯热点，简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台（抖音、知乎、B站、华尔街见闻、财联社等），智能筛选+自动推送+AI对话分析（用自然语言深度挖掘新闻：趋势追踪、情感分析、相似检索等13种工具）。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送，30秒网页部署，1分…
A JWT based API for managing users and issuing JWT tokens
NocoBase is the most extensible AI-powered no-code/low-code platform for building business applications and enterprise solutions.
Rust RPC framework with high-performance and strong-extensibility for building micro-services.
Generate TypeScript types from OpenAPI 3 specs
Simple, Fast, Code first and Compile time generated OpenAPI documentation for Rust
A blazingly fast, open-source application server with type-safe APIs, built-in WebAssembly runtime, realtime, auth, and admin UI built on Rust, SQLite & Wasmtime.
Rust library for single assignment cells and lazy statics without macros
Scalable datastore for metrics, events, and real-time analytics
A safe, extensible ORM and Query Builder for Rust
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
The framework for building with WebAssembly (wasm). Easily & securely load wasm modules, move data, call functions, and build extensible apps.
Rust-to-Rust ffi,ffi-safe equivalents of std types,and creating libraries loaded at startup.
Low latency inter-thread communication library in Rust inspired by the LMAX Disruptor.
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
Ergonomic and modular web framework built with Tokio, Tower, and Hyper
一站式全渠道业务中台系统包括订单管理系统OMS/电商ERP、库存WMS统一管理系统和SAP财务管理系统等，实现快速部署，并帮助企业后续自主进行开发迭代，实现数字化转型，并有多个经典案例。中台系统包括：通用业务中台、强大的技术中台Springcloud/Istio、后续开发方案的设计，技术(K8S,SERVERLESS)及管理人员的培训等。
🐹 Dig deep like a mole to optimize you Mac. 像鼹鼠一样深入挖掘来优化你的 Mac
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Multilingual Document Layout Parsing in a Single Vision-Language Model