Software Alternatives, Accelerators & Startups

JSFiddle VS ML5.js

Compare JSFiddle VS ML5.js and see what are their differences

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JSFiddle logo JSFiddle

Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.

ML5.js logo ML5.js

Friendly machine learning for the web
  • JSFiddle Landing page
    Landing page //
    2022-07-11
  • ML5.js Landing page
    Landing page //
    2021-10-12

JSFiddle features and specs

  • Easy Sharing and Collaboration
    JSFiddle allows users to share and collaborate on code snippets effortlessly by generating unique URLs for each project.
  • Real-Time Editing
    Changes made to HTML, CSS, and JavaScript are displayed in real-time, providing instant feedback and streamlining the development process.
  • Supports Multiple Frameworks
    JSFiddle supports various JavaScript frameworks and libraries such as jQuery, Vue.js, and React, allowing developers to experiment with different technologies.
  • Embed Feature
    Users can embed their fiddles directly into websites or blogs, enabling easy demonstration of code and concepts.
  • Version Control
    JSFiddle offers version control, allowing users to save different versions of their code and revert to previous versions if needed.

Possible disadvantages of JSFiddle

  • Limited Backend Support
    JSFiddle is primarily focused on frontend development and does not provide robust backend development capabilities.
  • Performance Issues
    With complex or resource-intensive projects, JSFiddle can experience performance lag, impacting the user experience.
  • Basic IDE Features
    Compared to full-fledged Integrated Development Environments (IDEs), JSFiddle lacks advanced features such as code linting, debugging tools, and extensive plugins.
  • File Management
    JSFiddle does not offer comprehensive file management, making it challenging to work on larger projects with multiple files.
  • Dependency Management
    Managing dependencies can be cumbersome, as JSFiddle does not provide built-in tools to handle package management seamlessly.

ML5.js features and specs

  • Ease of Use
    ml5.js is designed with simplicity in mind, making machine learning accessible to artists, creative coders, and students, even those without a robust background in AI or machine learning.
  • Browser-based
    Operates directly in the browser, eliminating the need for any additional setup or dependencies, which makes it highly compatible with web projects.
  • Pre-trained Models
    Includes a variety of pre-trained models for quick implementation of complex machine learning tasks like image classification, pose detection, and text generation.
  • Community and Documentation
    Strong community support and well-documented guides and examples help new users get started quickly and find solutions to common issues.
  • Integration with p5.js
    Integrates seamlessly with p5.js, a popular JavaScript library for creative coding, facilitating the development of interactive and visually engaging applications.

Possible disadvantages of ML5.js

  • Performance Limitations
    Since it runs in the browser, it may not be suitable for performance-intensive applications or those requiring real-time processing of large datasets.
  • Limited Customization
    While it offers pre-trained models, there is limited functionality for training new models from scratch compared to more comprehensive libraries like TensorFlow.js.
  • Dependency on Web Standards
    Depends on the performance and capabilities of the client's browser, which can vary significantly between different users and devices.
  • Size of Models
    Some pre-trained models can be quite large, which may affect loading times and performance on slower network connections or less powerful devices.
  • Scope
    Focused on high-level tasks and applications, which might not be sufficient for advanced machine learning requirements or niche functionalities outside its provided models.

Analysis of JSFiddle

Overall verdict

  • JSFiddle is a highly useful and reliable tool for web developers looking for a quick and easy way to test and share code snippets. Its ease of use and collaborative features make it a popular choice in the developer community.

Why this product is good

  • JSFiddle is widely used for testing and showcasing user-created HTML, CSS, and JavaScript code.
  • It provides a simple interface to quickly collaborate and share code snippets.
  • Real-time collaboration features make it easier to work with others.
  • Supports various JavaScript frameworks and extensions, enhancing flexibility.
  • Allows saving and managing public or private code snippets for future reference.

Recommended for

  • Web developers needing a fast way to prototype and demonstrate web functionality.
  • Educators and students in fields related to web development and programming.
  • Teams looking for an online collaborative platform for frontend code examples.
  • Individuals wanting to share code examples with others or ask for debugging help.

Analysis of ML5.js

Overall verdict

  • ML5.js is considered a good tool for web developers who want to incorporate machine learning into their projects without needing extensive knowledge of the underlying algorithms. It's particularly noted for its simplicity and ease of use.

Why this product is good

  • ML5.js is a high-level JavaScript library built on top of TensorFlow.js. It is designed to make machine learning accessible to web developers with minimal expertise in machine learning or deep learning. The library provides easy-to-use functions for tasks such as image and video classification, pose detection, text generation, and more. Its simplicity and ease of integration make it ideal for rapid prototyping and educational purposes.

Recommended for

    ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.

JSFiddle videos

Dashboard JSFiddle Online JavaScript Editor jQuery, Angular, Backbone, Underscore, Knockout, Y

More videos:

  • Review - 1.3 Using JSFiddle to Create a Simple Web Page

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

Category Popularity

0-100% (relative to JSFiddle and ML5.js)
Text Editors
100 100%
0% 0
AI
0 0%
100% 100
Programming
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare JSFiddle and ML5.js

JSFiddle Reviews

8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Test your javascript, CSS, HTML or coffeescript online with jsfiddle code editor. Jsfiddle – code playground.
12 Best Online IDE and Code Editors to Develop Web Applications
JSFiddle cannot be used to host code on your server. The code has to be on JSFiddle and is public all the time.
Source: geekflare.com
6 Coding Playgrounds For Web Developers
What is missing from JSFiddle is live previews. You have to basically refresh the page by clicking on the play button. And compared to other playgrounds, JSFiddle is probably the slowest. Another slightly frustrating quirk of JSFiddle is its run button, sometimes clicking on it doesn’t work, so you’ll have to click a couple more times before it actually runs the code (and...

ML5.js Reviews

We have no reviews of ML5.js yet.
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Social recommendations and mentions

Based on our record, JSFiddle seems to be a lot more popular than ML5.js. While we know about 202 links to JSFiddle, we've tracked only 10 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.

JSFiddle mentions (202)

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ML5.js mentions (10)

  • How AI is Transforming Front-End Development in 2025!
    Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.​. - Source: dev.to / about 1 month ago
  • 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 2 years 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 3 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: about 3 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 3 years ago
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What are some alternatives?

When comparing JSFiddle and ML5.js, you can also consider the following products

CodePen - A front end web development playground.

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

CodeSandbox - Online playground for React

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

JS Bin - Sample of the bin:

Apple Machine Learning Journal - A blog written by Apple engineers