Software Alternatives, Accelerators & Startups

ML5.js VS SmallDevTools

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

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ML5.js logo ML5.js

Friendly machine learning for the web

SmallDevTools logo SmallDevTools

Handy developer tools with a delightful interface
  • ML5.js Landing page
    Landing page //
    2021-10-12
  • SmallDevTools Landing page
    Landing page //
    2023-05-02

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.

SmallDevTools features and specs

  • Accessibility
    SmallDevTools offers a wide range of tools that are easily accessible online, allowing developers to access them from anywhere without the need for installations or setup.
  • Versatility
    It provides various tools that cater to different development needs, like text manipulation, code formatting, and data conversion, making it a one-stop solution for many tasks.
  • User-Friendly Interface
    The platform features a simple and intuitive interface that makes it easy for users to navigate and use the available tools effectively.
  • Cost-Efficiency
    Many of the tools are available for free or at a low cost, making it an economical option for individual developers and small businesses.
  • Time-Saving
    By providing quick access to various tools online, SmallDevTools helps save time that would otherwise be spent searching for and installing separate software.

Possible disadvantages of SmallDevTools

  • Internet Dependency
    Since SmallDevTools is web-based, its tools require an internet connection, which can be a limitation in areas with poor connectivity or for users who prefer offline tools.
  • Limited Advanced Features
    While it offers many basic tools, developers needing advanced functionalities might find the tools lacking compared to more specialized software.
  • Performance Constraints
    Browser-based performance limitations might affect the efficiency of some tools, especially when handling large files or complex tasks.
  • Privacy Concerns
    Using online tools often raises concerns about data privacy and security, especially for sensitive code or data, although specific policies vary.
  • Reliability Issues
    The availability and consistency of service depend on the website's uptime, which can pose issues if the site experiences high traffic or technical difficulties.

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.

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

SmallDevTools videos

No SmallDevTools videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to ML5.js and SmallDevTools)
AI
100 100%
0% 0
Developer Tools
52 52%
48% 48
Productivity
0 0%
100% 100
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, ML5.js should be more popular than SmallDevTools. It has been mentiond 10 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 (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: 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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SmallDevTools mentions (3)

What are some alternatives?

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

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

LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

whatdevsneed - This is whatdevsneed.

Apple Machine Learning Journal - A blog written by Apple engineers

Profitable developer tools database - A database of 103+ hand-curated profitable developer tools