yueguanyu Goto Github PK

cli

The command line interface for scaffolding Feathers applications

cocos-jsc-endecryptor

适用于 Cocos 的 JSC 加解密工具

configs

My configuration files

cp-admin-dist

cp-handy-server

cp33

可无限开彩平台的彩票系统、博彩平台、博彩系统--重庆时时彩 北京pk10 11选五 北京赛车 西藏时时彩 天津时时彩

cp33client

彩票开奖结果采集客户端

cpp-grpc-test

cpp-grpc-test

cs-grpc-test

cs-grpc-test

developer_quest

Respository for the I/O 2019 demo: Become a tech lead, slay bugs, and don't get fired.

dnfcalculating

主体实现By纸飞机

docs

TensorFlow documentation

easydarwin

open source、high performance、industrial rtsp streaming server,a lot of optimization on streaming relay,KeyFrame cache,RESTful,and web management,also EasyDarwin support distributed load balancing,a simple streaming media cloud platform architecture.高性能开源RTSP流媒体服务器，基于go语言研发，维护和优化：RTSP推模式转发、RTSP拉模式转发、录像、检索、回放、关键帧缓存、秒开画面、RESTful接口、WEB后台管理、分布式负载均衡，基于EasyDarwin构建出了一套基础的流媒体云视频平台架构！

ehttp

simple http server base on epoll

electron-forge

A complete tool for creating, publishing, and installing modern Electron applications

emitter

Event emitter component

engine.io-client

engine.io-parser

Parser for the engine.io protocol, used by client and server

envoy

Cloud-native high-performance edge/middle/service proxy

evcache

A distributed in-memory data store for the cloud

ex_websocket

为express添加可安装的websocket插件

feathers-react-native-chat

A React Native example chat app using feathers

feathersdart

A Dart library for implement feathersjs in Dart.

feathersjs-angular2

An Angular 2 client for the Chat app from the Feathers Docs

flutter-webrtc-demo

Demo for flutter-webrtc

flutter_feathersjs.dart

Communicate with your feathers js server from flutter

fullstack

React/ApolloGraphQL/Node/Mongo demo written in Typescript

generator-feathers

A Yeoman generator for a Feathers application

getting-started

Getting started with Docker

gke-istio-telemetry-demo

This project demonstrates how to use an Istio service mesh in a single Kubernetes Engine cluster alongside Prometheus, Jaeger, and Grafana, to monitor cluster and workload performance metrics. You will first deploy the Istio control plane, data plane, and additional visibility tools using the provided scripts, then explore the collected metrics and trace data in Grafana.