Compare the Top Development Frameworks for Startups as of April 2025 - Page 5

  • 1
    CherryPy

    CherryPy

    CherryPy

    CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program. This results in smaller source code developed in less time. CherryPy is now more than ten years old, and it has proven to be fast and reliable. It is being used in production by many sites, from the simplest to the most demanding. In order to make the most of CherryPy, you should start with the tutorials that will lead you through the most common aspects of the framework. Once done, you will probably want to browse through the basics and advanced sections that will demonstrate how to implement certain operations. Finally, you will want to carefully read the configuration and extend sections that go in-depth regarding the powerful features provided by the framework.
  • 2
    Bottle

    Bottle

    Bottle

    Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library. Requests to function-call mapping with support for clean and dynamic URLs. Fast and pythonic built-in template engine and support for mako, jinja2 and cheetah templates. Convenient access to form data, file uploads, cookies, headers and other HTTP-related metadata. Built-in HTTP development server and support for paste, bjoern, gae, cherrypy or any other WSGI capable HTTP server.
  • 3
    Sinatra

    Sinatra

    Sinatra

    Sinatra includes a number of built-in settings that control whether certain features are enabled. Settings are application-level variables that are modified using one of the set, enable, or disable methods and are available within the request context via the settings object. Applications are free to set custom settings as well as the default, built-in settings provided by the framework. In its simplest form, the set method takes a setting name and value and creates an attribute on the application. Extensions provide helper or class methods for Sinatra applications. These methods are customarily listed and described on extensions home pages. Using an extension is usually as simple as installing a gem or library and requiring a file.
  • 4
    Ruby Grape

    Ruby Grape

    Ruby Grape

    An opinionated framework for creating REST-like APIs in Ruby.
  • 5
    Padrino

    Padrino

    Padrino

    Padrino was created to make it fun and easy to code more advanced web applications while still adhering to the spirit that makes Sinatra great! The Padrino code base has been kept simple and easy to understand, maintain and enhance. The generator for each new project creates a clean and compact directory structure keeping your code simple and well-organized. This framework can be used with ease for web development for a project of any size from your lightweight json web service to a large full-stack web application! Many people love the simplicity and expressiveness of Sinatra but quickly find themselves missing a great deal of functionality provided by other web frameworks such as Rails when building non-trivial applications. Starting from this assumption, we have developed a different approach to a web development framework.
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    Javalin

    Javalin

    Javalin

    You never extend classes and you rarely implement interfaces. Javalin is just a few thousand lines of code on top of Jetty, and its performance is equivalent to raw Jetty code. Due to its size, it's very easy to reason about the source code. Other Java and Kotlin web frameworks usually offer one version for each language. Javalin is being made with inter-operability in mind, apps are built the same way in both Java and Kotlin. Javalin runs on top of Jetty, one of the most used and stable web servers on the JVM. You can configure the Jetty server fully, including SSL and HTTP3 and everything else that Jetty offers. Many lightweight Java and Kotlin web frameworks don't support OpenAPI, but Javalin does.
  • 7
    Spark Framework

    Spark Framework

    Spark Framework

    Build production ready, monolithic, full-stack web applications fast with ASP.NET. Install the open source Spark CLI tool to get started and create your first project Every spark project comes configured with all the essential features you need for a full stack web application.
  • 8
    Ktor

    Ktor

    Ktor

    Create asynchronous client and server applications. Anything from microservices to multiplatform HTTP client apps in a simple way. Open Source, free, and fun! Ktor is built from the ground up using Kotlin and Coroutines. You get to use a concise, multiplatform language, as well as the power of asynchronous programming with an intuitive imperative flow. Ktor allows you to use only what you need, and to structure your application the way you need it. In addition, you can also extend Ktor with your own plugin very easily. Brought to you by JetBrains, creators of IntelliJ IDEA, Kotlin, and more. Ktor is not only used by our customers but also internally at JetBrains. In addition, you have top-notch tooling support!
  • 9
    TypeORM

    TypeORM

    TypeORM

    TypeORM is an ORM that can run in NodeJS, Browser, Cordova, PhoneGap, Ionic, React Native, NativeScript, Expo, and Electron platforms and can be used with TypeScript and JavaScript (ES5, ES6, ES7, ES8). Its goal is to always support the latest JavaScript features and provide additional features that help you to develop any kind of application that uses databases - from small applications with a few tables to large scale enterprise applications with multiple databases. TypeORM supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.
  • 10
    Slim Framework

    Slim Framework

    Slim Framework

    Slim is an ideal tool to create APIs that consume, repurpose, or publish data. Slim is also a great tool for rapid prototyping. Heck, you can even build full-featured web applications with user interfaces. More importantly, Slim is super fast and has very little code. You don’t always need a kitchen-sink solution like Symfony or Laravel. These are great tools, for sure. But they are often overkill. Instead, Slim provides only a minimal set of tools that do what you need and nothing else. First, you need a web server like Nginx or Apache. A Slim app contains routes that respond to specific HTTP requests. Each route invokes a callback and returns an HTTP response. To get started, you first instantiate and configure the Slim application. Next, you define your application routes.
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    Feathers

    Feathers

    Feathers

    Feathers can interact with any backend technology, supports many databases out of the box and works with any frontend technology like React, VueJS, Angular, React Native, Android or iOS. Build prototypes in minutes and production-ready apps in days. Leveraging a unique architecture, Feathers lets you focus on building your APIs and real-time applications quickly. You automatically get scalable HTTP and real-time APIs and stay prepared for whatever else the future might bring. Feathers can be used with NodeJS, in the browser, with React Native or with any other API client. You can use any database with many supports out of the box and connect your API seamlessly to any frontend framework. Built for TypeScript, Feathers provides the structure to create complex applications but is flexible enough to not be in the way. With a large ecosystem of plugins you can include exactly what you need.
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    UnionML

    UnionML

    Union

    Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. ‍ Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior.
  • 13
    Remix

    Remix

    Remix Framework

    Remix is a seamless server and browser runtime that provides snappy page loads and instant transitions by leveraging distributed systems and native browser features instead of clunky static builds. Built on the Web Fetch API (instead of Node) it can run anywhere. It already runs natively on Cloudflare Workers, and of course supports serverless and traditional Node.js environments, so you can come as you are. Page speed is only one aspect of our true goal though. We're after better user experiences. As you’ve pushed the boundaries of the web, your tools haven’t caught up to your appetite. Remix is ready to serve you from the initial request to the fanciest UX your designers can think up. Get fancy with transition hooks and make some pending UI. Remix handles all the state, you simply ask for it.
  • 14
    Everyware Software Framework (ESF)
    Everyware Software Framework (ESF) is an enterprise-ready IoT framework distributed and supported by Eurotech. Based on Eclipse Kura, the open source Java/OSGi middleware for IoT gateways, ESF adds provisioning, advanced security, remote access, and diagnostics monitoring. It supports ready-to-use field protocols (including Modbus, OPC-UA, S7, FANUC, J1939, J1979, BACnet, IEC 60870-5-101, IEC 60870-5-104, DNP3, M-bus), MQTT connectivity, and a web-based visual data flow programming to acquire data from the field, process it at the edge, and publish it to IoT cloud platforms. ESF features full remote device management through its integration with Everyware Cloud, Eurotech’s IoT integration platform. Develop and manage IoT edge computing applications. Easily connect to IoT devices and cloud services using IoT industrial protocols. Visually compose data flows to manage, analyze, and route data.
  • 15
    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.
  • 16
    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.
  • 17
    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.
  • 18
    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.
  • 19
    CodeIgniter

    CodeIgniter

    CodeIgniter

    CodeIgniter is an Application Development Framework - a toolkit - for people who build web sites using PHP. Its goal is to enable you to develop projects much faster than you could if you were writing code from scratch, by providing a rich set of libraries for commonly needed tasks, as well as a simple interface and logical structure to access these libraries. CodeIgniter lets you creatively focus on your project by minimizing the amount of code needed for a given task. Where possible, CodeIgniter has been kept as flexible as possible, allowing you to work in the way you want, not being forced into working any certain way. The framework can have core parts easily extended or completely replaced to make the system work the way you need it to. In short, CodeIgniter is the malleable framework that tries to provide the tools you need while staying out of the way.
  • 20
    AdonisJS

    AdonisJS

    AdonisJS

    AdonisJS includes everything you need to create a fully functional web app or an API server. So stop wasting hours downloading and assembling hundreds of packages. Use AdonisJS and be productive from day one. AdonisJS is not a minimalist framework. To give your projects a head start, we pack many baseline features within the core of the framework. AdonisJS has a feature-rich routing layer with support for route groups, subdomain-based routing, and resource resources. Controllers are first-class citizens in AdonisJS. They help you remove the inline route handlers to dedicated controller files. Along with the standard body parser, the support for managing file uploads is baked into the framework core. The schema-based validator of AdonisJS provides you with both runtime validations and static type safety. Create traditional-style server-rendered web apps using the home-grown template engine of AdonisJS.
  • 21
    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.
  • 22
    CubicWeb

    CubicWeb

    CubicWeb

    Modeling your data is the first step, as it always should be because applications fade away but data is here to stay. Once your model is implemented, your CubicWeb application runs and you can incrementally add high-value functionalities for your users. Based on the application model, RQL is a compact language focused on the attributes and relationships of the data. It is similar to SPARQL but is more readable by human beings. After a RQL request has selected a graph of data, several views can be applied to display the information in the most relevant way. All CubicWeb architecture is designed along this pattern. Permissions are directly defined in the data model with limitless precision. Security checks are automatically added to any RQL request submitted to the engine. CubicWeb relies on a standard SQL database for storing and managing data. PostgreSQL is the preferred database of CubicWeb.
  • 23
    Apache Mahout

    Apache Mahout

    Apache Software Foundation

    Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark.
  • 24
    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.