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Laravel Voyager VS Apple Machine Learning Journal

Compare Laravel Voyager VS Apple Machine Learning Journal and see what are their differences

Laravel Voyager logo Laravel Voyager

The missing Laravel admin

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Laravel Voyager Landing page
    Landing page //
    2021-09-29
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Laravel Voyager features and specs

  • Easy Setup
    Laravel Voyager offers a straightforward installation process, which makes it easy for developers to quickly set up a new project with a functional admin panel.
  • Intuitive Interface
    The user interface provided by Voyager is user-friendly and visually appealing, which helps developers and clients to easily navigate the admin panel without a steep learning curve.
  • Built-in CRUD Functionality
    Voyager comes with built-in CRUD (Create, Read, Update, Delete) features for database management, allowing developers to manage application data with minimal coding.
  • Extensible with Hooks
    Developers can extend Voyager's functionality using action and filter hooks, providing flexibility for customization and additional features without modifying core files.
  • Rich Media Manager
    It includes a powerful media manager that allows users to easily manage images and other media files within the admin interface, improving content management.

Possible disadvantages of Laravel Voyager

  • Limited Customization
    While Voyager provides many out-of-the-box features, its default setup can be restrictive, and extensive customization may require significant effort or familiarity with its codebase.
  • Performance Overhead
    Including Voyager in a project can add extra overhead due to its comprehensive features, which might impact performance, especially for smaller applications.
  • Dependency on Laravel
    Voyager is designed specifically for Laravel applications, meaning it cannot be used with other PHP frameworks, limiting its versatility to projects built on Laravel.
  • Upgrade and Compatibility Issues
    Maintaining and upgrading projects with Voyager can encounter compatibility issues, especially when Laravel releases new updates that require Voyager-specific patches.
  • Learning Curve for Advanced Features
    While basic usage is straightforward, leveraging advanced features or troubleshooting issues might require a deeper understanding of the package and its integration with Laravel.

Apple Machine Learning Journal features and specs

  • Expert Insight
    The journal provides in-depth insights from Apple's own machine learning experts, offering unique and valuable perspectives on the latest research and applications in the field.
  • Practical Applications
    The content often focuses on real-world applications and implementations of machine learning within Apple's ecosystem, making it highly relevant for practitioners.
  • High-Quality Content
    The articles in the journal are meticulously reviewed and curated, ensuring high-quality and reliable information.
  • Cutting-Edge Research
    Readers get early access to cutting-edge research and innovations directly from Apple's R&D teams.
  • Free Access
    The journal is freely accessible to the public, removing barriers for anyone interested in learning from industry leaders.

Possible disadvantages of Apple Machine Learning Journal

  • Apple-Centric
    The focus is predominantly on Apple's ecosystem, which may limit the applicability of some insights and solutions for those working with other platforms.
  • Infrequent Updates
    The journal does not publish new content as frequently as some other machine learning blogs or journals, potentially limiting its usefulness for staying up-to-date with the latest in the field.
  • Technical Depth
    While the technical rigor is generally high, this can make the content less accessible to beginners or those without a strong background in machine learning.
  • Limited Interactivity
    The journal primarily provides static articles and lacks interactive elements or community features such as forums or comment sections for reader engagement.
  • Bias Towards Proprietary Solutions
    The solutions and approaches advocated often align closely with Apple's proprietary technologies, which may not always be applicable or optimal for all contexts and use cases.

Category Popularity

0-100% (relative to Laravel Voyager and Apple Machine Learning Journal)
Developer Tools
44 44%
56% 56
AI
0 0%
100% 100
Productivity
68 68%
32% 32
Web App
100 100%
0% 0

User comments

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Social recommendations and mentions

Laravel Voyager might be a bit more popular than Apple Machine Learning Journal. We know about 9 links to it since March 2021 and only 7 links to Apple Machine Learning Journal. 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 Voyager mentions (9)

  • How to create a family of forms to maintain the contents of a database table in less than 5 minutes without writing any code
    Laravel, for instance, has Craftable & Voyager to name a few. Source: over 2 years ago
  • An admin panel for your Laravel application.
    When you are creating an application in Laravel then there are many chances that you need an admin panel. So here is a free and open-source admin panel, whose name is Voyager. - Source: dev.to / over 2 years ago
  • What package to use roles and permissions, an user has many work spaces each workspace can have a different role?
    Have you heard about laravel voyager? it's serve as a admin panel for laravel. It could be what you are looking for from what I reading. Laravel voyager website information. Source: almost 3 years ago
  • Is there an admin panel package for Adonis?
    Does Adonis have any packages that can create a fully fledged admin panel, like Voyager or Laravel Admin for Laravel, or the built-in Django Admin that Django ships with? I really like Adonis, but this is one feature I could really do with. Source: over 3 years ago
  • Create a repeatable field in Laravel Voyager in 5 steps
    I used Laravel v8.76.2 and Voyager v1.5 for this example. You can find a tutorial on how to create a custom formfield in Voyager in the official documentation as well. - Source: dev.to / over 3 years ago
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Apple Machine Learning Journal mentions (7)

  • Apple Intelligence Foundation Language Models
    Https://machinelearning.apple.com Fun fact: Their first paper, Improving the Realism of Synthetic Images (2017; https://machinelearning.apple.com/research/gan), strongly hints at eye and hand tracking for the Apple Vision Pro released 5 years later. - Source: Hacker News / 10 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 2 years ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 2 years ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 3 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 3 years ago
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What are some alternatives?

When comparing Laravel Voyager and Apple Machine Learning Journal, you can also consider the following products

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

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

Laravel Nova - Application and Data, Languages & Frameworks, and MVC Tools

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

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

Lobe - Visual tool for building custom deep learning models