Compare the Top Development Frameworks for Mac as of June 2026 - Page 4

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    Laminas

    Laminas

    Zend Framework

    Laminas is the enterprise-ready PHP framework and components. Components for any PHP application, include dependency injection, event dispatchers, input validation and filtering, pagination and navigation, feed generation and parsing, and much, much more. Build PHP middleware applications, using the PSR-7 and PSR-15 specifications, using a variety of routing and templating options, and the dependency injection container you prefer. Build RESTful APIs using standards and provide validation, authentication, authorization, and versioning right out of the box. A proven history of success running business critical and high-usage applications, ready for PHP 7. Laminas is built with security best practices. Store passwords and encrypt with AES-256. Engineered with performance tuning in mind, Laminas runs up to 4x faster than version 2 releases. Laminas API tools provide JSON representations that can be parsed and used in any mobile framework.
  • 2
    Meteor

    Meteor

    Meteor

    Meteor is an open-source framework for seamlessly building and deploying Web, Mobile, and Desktop applications in Javascript. Use popular frameworks and tools right out of the box. Focus on building features instead of configuring disparate components yourself. Use the same code whether you’re developing for web, iOS, Android, or desktop for a seamless update experience for your users. Developed for over a decade and trusted by industry giants. Meteor is a mature open-source framework that allows you to build and scale efficiently so you can serve millions of users. Visibility into your app's performance. See real-time metrics so you can monitor how your application is running. Spend less time on DevOps and more time building. The most efficient way for you to host & scale your Meteor app. Browse our extensive library of open source packages, free for you to download.
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    Core ML

    Core ML

    Apple

    Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device.
  • 4
    Solara

    Solara

    Widgetti BV

    Many Python frameworks can handle basic dashboards but falter with complex ones, often leading teams to split into frontend and backend roles, causing various challenges. Solara is a new web framework that integrates ReactJS principles with Python simplicity. It offers a flexible API for various UI complexities and efficient state management. Solara supports a range of applications, from prototypes to intricate dashboards, and is compatible with platforms like Jupyter, Voilà, and various web servers. It emphasizes code quality, developer accessibility, and robust testing.