reflection

Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more

A runtime developer console and IRB alternative with powerful introspection capabilities.

全龄段友好的C#万能工具库，码数吐司库，包含一些常用的操作类，大都是静态类，加密解密，反射操作，权重随机筛选算法，分布式短id，表达式树，linq扩展，文件压缩，多线程下载，硬件信息，字符串扩展方法，日期时间扩展操作，中国农历，大文件拷贝，图像裁剪，验证码，断点续传，集合扩展、Excel导出等常用封装。诸多功能集一身，代码量不到2MB！

Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code

C++ Reflection Library

Prototype for a Metadata Reflection API for ECMAScript

A library that lets you use reflection without any restriction above Android P

Extremely fast, in memory, serialization, reflection, and RPC library for C++. JSON, BEVE, BSON, CBOR, CSV, JSONB, MessagePack, TOML, YAML, EETF

The Doctrine Reflection project is a simple library used by the various Doctrine projects which adds some additional functionality on top of the reflection API that comes with PHP. It allows you to get the reflection information about classes, methods and properties statically.

Provides functions to read and write from/to an object or array using a simple string notation

Rust reflection, serialization, deserialization, pretty printing, etc. — the last proc macro you should need

Nameof operator for modern C++, simply obtain the name of a variable, type, function, macro, and enum

Cista is a simple, high-performance, zero-copy C++ serialization & reflection library.

Next generation API for .NET

Core basic components: log (file / network), configuration (XML / JSON / HTTP), cache (memory / redis), network (TCP / UDP / HTTP), RPC framework, serialization (binary / XML / JSON), APM performance tracking. 核心基础组件，日志（文件/网络）、配置（XML/Json/Http）、缓存（内存/Redis）、网络（Tcp/Udp/Http）、RPC框架、序列化（Binary/XML/Json）、APM性能追踪。

C++ compile-time enum to string, iteration, in a single header file

Esoterica Engine

自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。

c++ toolkit for rapid development of live graphical apps and games

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.