Software Alternatives, Accelerators & Startups

ML5.js VS Syndigo Content Experience Hub

Compare ML5.js VS Syndigo Content Experience Hub and see what are their differences

ML5.js logo ML5.js

Friendly machine learning for the web

Syndigo Content Experience Hub logo Syndigo Content Experience Hub

Content Experience Hub Your end-to-end solution to collect, create, enrich, manage, syndicate, and analyze all your digital assets, Core Marketing, and Enhanced product content. Request [...]
  • ML5.js Landing page
    Landing page //
    2021-10-12
  • Syndigo Content Experience Hub Landing page
    Landing page //
    2023-08-19

ML5.js videos

ml5.js: Train Your Own Neural Network

More videos:

  • Review - ml5.js: Image Classification with MobileNet
  • Review - Image classification to gif with ML5.js | Vue.js Virtual Meetup

Syndigo Content Experience Hub videos

Syndigo Content Experience Hub

Category Popularity

0-100% (relative to ML5.js and Syndigo Content Experience Hub)
AI
100 100%
0% 0
Product Information Management
Developer Tools
100 100%
0% 0
Digital Asset Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, ML5.js seems to be more popular. It has been mentiond 9 times since March 2021. 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.

ML5.js mentions (9)

  • Riffr - Create Photo Montages in the Browser with some ML Magic✨
    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
  • Brain.js: GPU Accelerated Neural Networks in JavaScript
    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
  • [Showoff Saturday] I made a captcha prototype that requires a banana
    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: over 2 years ago
  • My First 30 Days of 100 Days of Code.
    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 / over 2 years ago
  • [D] Are you using PyTorch or TensorFlow going into 2022?
    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
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Syndigo Content Experience Hub mentions (0)

We have not tracked any mentions of Syndigo Content Experience Hub yet. Tracking of Syndigo Content Experience Hub recommendations started around Mar 2021.

What are some alternatives?

When comparing ML5.js and Syndigo Content Experience Hub, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Pimcore - Pimcore is an award-winning data management and customer experience management software.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

Lobe - Visual tool for building custom deep learning models

SAP NetWeaver - SAP NetWeaver enables the composition, provisioning, and management of applications across a heterogeneous software environment