Software Alternatives, Accelerators & Startups

Devdojo Wave VS ML5.js

Compare Devdojo Wave VS ML5.js and see what are their differences

Devdojo Wave logo Devdojo Wave

The Software as a Service Starter Kit

ML5.js logo ML5.js

Friendly machine learning for the web
  • Devdojo Wave Landing page
    Landing page //
    2022-10-08
  • ML5.js Landing page
    Landing page //
    2021-10-12

Devdojo Wave features and specs

  • Ease of Use
    Wave provides a user-friendly interface and comprehensive documentation, making it easy for developers to set up and customize their SaaS applications.
  • Feature-Rich
    It comes with numerous out-of-the-box features like user authentication, billing, and notifications, which can accelerate the development process significantly.
  • Open Source
    Being open source, developers have full access to the codebase, enabling them to modify and extend the platform as needed.
  • Community Support
    Wave has an active community and forums, where developers can seek help, share experiences, and get updates on ongoing developments.
  • Laravel Integration
    Built on the Laravel framework, Wave allows developers to leverage Laravel's robust ecosystem and familiarity for faster development cycles.

Possible disadvantages of Devdojo Wave

  • Limited Customization
    While Wave provides many built-in features, customizing beyond the default options can be challenging for developers with less experience in Laravel.
  • Dependency on Laravel
    Because Wave is built on Laravel, developers need to be familiar with this framework, which limits its use to those already within the Laravel ecosystem.
  • Potential Performance Overhead
    The extensive features and functionalities can introduce performance overhead, requiring developers to optimize and manage resources efficiently for scalability.
  • License Restrictions
    Though Wave is open-source, its licensing might impose restrictions on some commercial use cases, which requires careful consideration before deployment.
  • Learning Curve
    For developers new to Wave or Laravel, there may be a learning curve associated with understanding the framework and utilizing all of its features effectively.

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 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.

Devdojo Wave videos

Laravel Wave Demo - Software as a Service Starter Kit

More videos:

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 Devdojo Wave and ML5.js)
Developer Tools
35 35%
65% 65
AI
0 0%
100% 100
Productivity
100 100%
0% 0
GitHub
100 100%
0% 0

User comments

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Social recommendations and mentions

Devdojo Wave might be a bit more popular than ML5.js. We know about 12 links to it since March 2021 and only 10 links to 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.

Devdojo Wave mentions (12)

  • AI SaaS ideas and useful resources to start a SaaS business.
    Wave - Open source and based on Laravel. - Source: dev.to / over 1 year ago
  • I never intentionally learned that little that I do know about web development with the intention of being a developer, and as such, "workflow" for local to production is embarrassing, and I really need help with a couple of things (especially .env).
    I knew it would require a membership management system, payment processor, etc, and despite thinking Wordpress is great for what it does and who it's for, I absolutely hate working in it with a passion. I also knew trying to build each of theses website functions (even with pre-made things to help) was going to take more time than I had to get going, so I ultimately ended up going with Wave, which is just a SaaS... Source: about 2 years ago
  • I haven't programmed anything in a year.
    Google for related frameworks. Maybe these will help set up things faster. For example, https://devdojo.com/wave is a free Laravel-based SaaS setup that takes care of users, login, admin, basic pages, blog, etc. You can install that and begin building on top of that. Maybe there is a similar solution for your tech stack. Source: about 2 years ago
  • Getting a Laravel error on Cloudways only, but not DigiOcean or local server. -- No hint path defined for [theme]
    I'm using a pre-built thing called Wave that uses Laravel, and a few other things like Voyager to have a functioning member-ready site. It works really well, but something about it does not seem to jive with Cloudways, and my only thought is that it could be something about the database configuration or something, but I have no clue. I tried a brand new Wave install just to test, and it still happens on all fresh... Source: over 2 years ago
  • How to keep track of user tokens based on subscription (Backend)
    Side note - we are using Wave as a template for our app which has helped us with most of the backend so far with payment + user authentication, etc. Source: over 2 years ago
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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 2 months 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: over 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 Devdojo Wave and ML5.js, you can also consider the following products

Laravel Voyager - The missing Laravel admin

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

Laravel Kit - Desktop Laravel admin panel app with no configuration needs

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Cheat Sheets Dev - Community built to share popular programming snippets.

Apple Machine Learning Journal - A blog written by Apple engineers