Best Development Frameworks for Freelancers - Page 4

Compare the Top Development Frameworks for Freelancers as of January 2026 - Page 4

  • 1
    Inertia

    Inertia

    Inertia

    Inertia.js is a framework that enables developers to build modern single-page applications using classic server-side routing and controllers. It allows for the creation of fully client-side rendered SPAs without the complexity typically associated with such applications. Inertia.js operates without client-side routing or the need for an API, allowing developers to build controllers and page views as usual. It functions as a connector between server-side frameworks and modern frontend frameworks, offering official client-side adapters for React, Vue, and Svelte, and server-side adapters for Laravel, Rails, and Phoenix. This approach enables the development of modern SPAs while leveraging existing server-side patterns. Inertia isn't a replacement for your existing server-side or client-side frameworks. Rather, it's designed to work with them. Think of Inertia as the glue that connects the two. Inertia does this via adapters.
  • 2
    Livewire

    Livewire

    Laravel

    Livewire is a full-stack framework for Laravel that simplifies building dynamic interfaces without leaving the comfort of Laravel. It allows developers to create modern, reactive web applications using Laravel's Blade templating engine, eliminating the need for a separate frontend framework. Livewire components can communicate with each other through a global event system, enabling seamless interaction between components on the same page. The framework supports features like data binding, validation, and lifecycle hooks, facilitating the development of complex, dynamic interfaces. By handling frontend interactions on the server side, Livewire reduces the complexity of building dynamic UIs, allowing developers to focus on application logic without extensive JavaScript. Livewire renders the initial component output with the page. This way, it's SEO-friendly. When an interaction occurs, Livewire makes an AJAX request to the server with the updated data.
  • 3
    Nue

    Nue

    Nue JS

    Nue is a minimalist, standards-based web development environment and framework that emphasizes progressive enhancement, separation of concerns, and semantic web design to simplify building modern websites and web applications. It combines a static site generator with support for both multi-page and single-page applications, enabling developers to use extended Markdown, HTML first UI assembly, URL-first state management, and modern CSS for layout and styling while keeping markup clean and optimized for accessibility and SEO. Its entire ecosystem is extremely small in size (about 1MB) yet offers features like universal hot reload, SPA development, dynamic islands, view transitions, content collections, TypeScript support, CSS inlining, API routing, and full-stack previews without heavy tooling or complex configuration. Nue separates content, layout, and logic so designers, content strategists, and developers can work independently.
  • 4
    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.