1391 Open source projects that are alternatives of or similar to Autobahn Python

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微服务 spring dubbo项目：dubbo rpc；druid数据源连接池；mybatis配置集成，多数据源；jmx监控MBean；定时任务；aop；ftp；测试；Metrics监控；参数验证；跨域处理；shiro权限控制；consul服务注册，发现；redis分布式锁；SPI服务机制；cat监控；netty服务代理；websocket；disconf；mongodb集成；rest；docker；fescar

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Hprose is a cross-language RPC. This project is Hprose 2.0 for Node.js

socket.io

grain是一个极简的、组件式的RPC框架，灵活且适合渐进学习，可与任何框架整合。同时包含（系统通用多线程模型与消息通讯 || 多对多关系的分布式锁 || 基于Servlet的HTTP框架 || 基于系统通用多线程模型的Websocket框架 || 支持行级锁的多线程锁 ）等组件，按需选择组件，不绑架开发者。

WebSocket emulation - Javascript client

Benchmarking tool to stress real-time protocols

KubeMQ is Enterprise-grade message broker native for Docker and Kubernetes

Binance Chain Exchange API python implementation for automated trading

Fast RPC for browser and Node.js based on TCP, WebSocket, and MDSF

Header only c++ network library, based on asio,support tcp,udp,http,websocket,rpc,ssl,icmp,serial_port.

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Remote Procedure Calls in TypeScript made simple 🤞

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PROJECT MOVED: https://github.com/kdex/ws-promise

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基于Netty+MQTT的高性能推送服务框架。支持普通Socket、MQTT、MQTT web socket协议。非常方便接入上层业务实现推送业务。

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Pusher server implementation compatible with Pusher client libraries.

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WebSocket emulation - Node.js server

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We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

The world's first Multi-protocol API Platform. Run, Test, Collaborate to build Any Kind Of APIs.

Source code and files for FPS Creator Classic