Software Alternatives, Accelerators & Startups

Laravel Kit VS ML5.js

Compare Laravel Kit VS ML5.js and see what are their differences

Laravel Kit logo Laravel Kit

Desktop Laravel admin panel app with no configuration needs

ML5.js logo ML5.js

Friendly machine learning for the web
  • Laravel Kit Landing page
    Landing page //
    2023-09-12
  • ML5.js Landing page
    Landing page //
    2021-10-12

Laravel Kit features and specs

  • Ease of Use
    Laravel Kit provides a simple and intuitive command-line interface to perform common tasks in Laravel applications, making it easier for developers to manage their projects.
  • Automation
    It automates repetitive tasks, such as generating models, controllers, or migrations, which can significantly speed up the development process.
  • Consistency
    Promotes consistency across Laravel projects by using standardized commands and best practices, leading to more maintainable codebases.
  • Integration
    Designed to work seamlessly with the Laravel ecosystem, ensuring compatibility with other packages and features of the framework.
  • Open Source
    Being open-source allows developers to contribute, customize, and examine the source code to tailor it to their specific project needs.

Possible disadvantages of Laravel Kit

  • Learning Curve
    New developers may require time to learn and become comfortable with its command-line operations and specific features.
  • Limited Scope
    It may not cover all scenarios or provide all the functionalities some advanced users might need, requiring them to manually perform certain tasks.
  • Community Support
    The level of community support may not be as extensive as the Laravel framework itself, potentially leading to slower resolution of issues or fewer third-party resources.
  • Dependency Management
    As with any tool that generates code or configurations, it might introduce dependencies that project maintainers need to manage carefully.
  • Updates and Maintenance
    Keeping the tool up-to-date with the latest Laravel versions could be challenging if the project is not actively maintained, which might lead to compatibility issues.

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.

Laravel Kit videos

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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 Laravel Kit and ML5.js)
Developer Tools
33 33%
67% 67
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

Based on our record, ML5.js should be more popular than Laravel Kit. 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.

Laravel Kit mentions (1)

  • Ask HN: Should I open source my next project?
    Hi HN, 4-5 years ago, I created a desktop application called Laravel Kit[1] and open sourced it. The repo has almost 1k stars on GitHub. I was eagerly waiting for a single donation to come to my PayPal. Because I was young and needed to make money through coding without the hassle of managing a business. And I managed to get 0$ donation. But I still push updates to it. I have some software project ideas in my mind... - Source: Hacker News / over 2 years ago

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 / 29 days 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 Laravel Kit 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

Open Laravel - A repository of open source projects built using Laravel

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

FireCMS - An open source CMS/admin panel based on Firestore

Evidently AI - Open-source monitoring for machine learning models