Search Results for "socket.io"

Ts.ED is a Node.js and TypeScript Framework on top of Express/Koa.js. Ts.ED is a framework on top of Express/Koa to write your application with TypeScript (or ES6). It provides a lot of decorators and guidelines to make your code more readable and less error-prone. Create your Rest API easily and create different version paths of your API compliant with OpenSpec and JsonSchema. Don't waste your time with configuration, the server is preconfigured to start quickly. Choose between different...

Flask-SocketIO is an extension for the Flask web framework that enables real-time bi-directional communication between clients and servers using WebSockets or long-polling fallbacks, making it possible to build interactive applications like chat systems, live dashboards, and collaborative tools. It abstracts the complexities of asynchronous sockets by providing a familiar Flask-style API where developers can define event handlers that trigger on client messages, broadcast to connected users,...

High-performance HTTP server based on Swoole. Speed up your Laravel or Lumen applications.

NodeJs server for Laravel Echo broadcasting with Socket.io. The CLI tool will help you set up a laravel-echo-server.json file in the root directory of your project. This file will be loaded by the server during start-up. You may edit this file later on to manage the configuration of your server. The Laravel Echo Server exposes a light HTTP API to perform broadcasting functionality. For security purposes, access to these endpoints from http referrers must be authenticated with an APP id and key.

Koa-socket-2 uses socket.io v3. It is recommended that you connect to a koa-socket-2 server with a socket.io v3 client. Koa-socket-2 is only compatible with the Koa v2 style of middleware (where context is passed as a parameter). This project helps you start a SocketIO server using Koa and NodeJS. However, Google's Go language -- or GoLang -- allows you to write code that compiles down to binary.

The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.