Socket.io
Firebase
Pusher
SignalR
PubNub
StatCounter
Histats
AFSAnalytics
ML5.js
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
Papers with Code
Pretrained AI
Evidently AI
Based on our record, Socket.io seems to be a lot more popular than ML5.js. While we know about 717 links to Socket.io, we've tracked only 9 mentions of ML5.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The first is the script tag in the head of our HTML document that loads the Socket.IO client library. This script tag includes the Socket.IO client library that will communicate with our socket.io server from the code above. - Source: dev.to / 9 days ago
Before diving into this tutorial, if you find microservices mysterious, check out my previous article for a detailed explanation. In this hands-on tutorial, we'll build a real-time chat server using Node.js, Socket.io, RabbitMQ, and Docker. Get ready for a practical journey into the world of microservices! Let's begin. - Source: dev.to / 3 months ago
Now we will be implementing socket logic using socket.io for building websockets. This library provides an abstraction layer on top of WebSockets, simplifying the process of creating real-time applications. For better maintainability, it is recommended to create a separate file for socket calls. To do this, navigate to the src folder, create a folder named services, and inside it, create a file named socket.ts... - Source: dev.to / 4 months ago
Hi I made a chat app using socket.io it worked fine locally but when I deployed the app on render.com socket is not working properly I have to refresh the page to see new messages please help... Source: 5 months ago
Nextjs + socket.io.. Planning to use webrtc for video calls later. Source: 5 months ago
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / about 2 years ago
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
SignalR - SignalR is a server-side software system designed for writing scalable Internet applications, notably web servers.
Lobe - Visual tool for building custom deep learning models
