Alternatives to FastAPI

An easy-to-use API with sensible defaults and minimal excess enables you to dive right into app development. You can create your application in your preferred style without being limited by the tools at your disposal. Designed from the very beginning with a focus on both speed and scalability, it is equipped to support web applications of all sizes. Out of the box, it includes a web server that is ready to enhance your web projects. Sanic stands out as one of the most favored frameworks available on PyPI, particularly as a leading async-enabled option. The community drives the project, ensuring it remains relevant and beneficial for all users. This collaborative approach fosters continuous improvement and innovation within the framework.

Modern APIs can be constructed with all necessary features, including data serialization, validation, websockets, ORM integration, session management, and authentication, among others. Litestar prioritizes both developer experience and performance, boasting one of the fastest ASGI frameworks available while ensuring that the development process remains swift and efficient. It is primarily asynchronous, yet it accommodates synchronous execution without imposing any performance drawbacks, allowing synchronous applications to operate smoothly. Moreover, it provides interfaces for multiple key/value stores, which integrate effortlessly with your application and support third-party extensions. Response caching is easily implemented, requiring minimal configuration and overhead to enhance response times significantly. Additionally, it offers session and JWT-based authentication utilities, simplifying the process of establishing your authentication framework. This comprehensive approach makes it an ideal choice for developers looking to streamline their API development.

Facilitates the functionality of both the client and server sides of the HTTP protocol, seamlessly integrates client and server web-sockets without additional setup, and effectively prevents callback hell by utilizing middlewares and customizable routing options. This approach enhances the development experience by providing a more streamlined and efficient workflow.

Starlette features an application class known as Starlette, which effectively integrates all its various functionalities. It utilizes a predefined list of middleware that executes with each incoming request. Notably, a Starlette application inherently incorporates two middleware classes: ServerErrorMiddleware, which serves as the outermost layer to catch any uncaught errors that may arise throughout the entire processing stack, and ExceptionMiddleware, positioned as the innermost layer to manage exceptions that are handled within the routing or endpoint logic. Both startup and shutdown handler callables are designed not to accept any parameters and can be implemented as either standard or asynchronous functions, allowing for flexibility in deployment. This structure ensures that developers can maintain robust error handling and lifecycle management within their applications.

CherryPy enables programmers to create web applications similarly to how they would develop any other object-oriented Python project, leading to more concise code and quicker development times. Having been around for over a decade, CherryPy has established itself as both fast and dependable. It is utilized in various production environments, catering to both simple and highly complex applications. To fully leverage the capabilities of CherryPy, it is advisable to begin with the introductory tutorials that cover the framework's most frequent functionalities. After completing these tutorials, it would be beneficial to explore both the fundamental and advanced materials that showcase specific implementation techniques. Additionally, taking the time to thoroughly examine the configuration and extension sections will provide valuable insights into the robust features offered by the framework, ensuring a comprehensive understanding of its capabilities. Engaging with the community forums can also enhance your learning experience and provide support from other developers.

Bottle is a lightweight and efficient WSGI micro web framework designed for Python. It comes packaged as a single-file module and relies solely on the Python Standard Library, ensuring minimal dependencies. The framework offers a straightforward approach to mapping requests to function calls, featuring support for clean and dynamic URLs. Additionally, it includes a fast and Pythonic built-in template engine while also accommodating external template engines like Mako, Jinja2, and Cheetah. Users benefit from easy access to various forms of data, including file uploads, cookies, headers, and other HTTP-related information. Moreover, Bottle includes a built-in HTTP development server and can work seamlessly with other WSGI-compatible HTTP servers such as Paste, Bjoern, GAE, and CherryPy. Its simplicity and versatility make it an appealing choice for developers looking to create web applications quickly and effectively.

Create and Share Engaging Machine Learning Applications. Gradio offers the quickest way to showcase your machine learning model through a user-friendly web interface, enabling anyone to access it from anywhere! You can easily install Gradio using pip. Setting up a Gradio interface involves just a few lines of code in your project. There are various interface types available to connect your function effectively. Gradio can be utilized in Python notebooks or displayed as a standalone webpage. Once you create an interface, it can automatically generate a public link that allows your colleagues to interact with the model remotely from their devices. Moreover, after developing your interface, you can host it permanently on Hugging Face. Hugging Face Spaces will take care of hosting the interface on their servers and provide you with a shareable link, ensuring your work is accessible to a wider audience. With Gradio, sharing your machine learning solutions becomes an effortless task!

The framework operates on the principles of Model, View, and Controller architecture. It prioritizes a structured approach that leads to code that remains easy to manage over time. In contrast, many widely-used web frameworks focus on rapid launch capabilities, often resulting in code that may deploy swiftly but becomes increasingly complicated after numerous updates. For instance, processes like Apache and Gunicorn serve as examples of controller operations. When initiated, a controller process receives a manifest, which acts as a roadmap. All requests directed towards the controller process are then navigated to a specific program outlined in the manifest. Essentially, a manifest is a compilation of various programs that can be executed. Users can interact with the controller process through web requests, command line inputs, or other actions, showcasing its versatile handling capabilities. This system underscores the importance of a well-organized structure in software development.

Streamline the process of API development across various interfaces with hug, allowing you to design and create your API once and then present it in the format that best suits your clients' needs, whether it's locally, via HTTP, or through command line access. Hug stands out as the quickest and most modern method for building APIs in Python3, as it has been meticulously crafted with a focus on performance. It efficiently utilizes resources only when absolutely necessary and leverages Cython for impressive speed optimization. Consequently, hug ranks consistently among the fastest frameworks for Python, undoubtedly earning the title of the quickest high-level framework available for Python 3. Additionally, hug simplifies the management of multiple API versions; you can easily indicate which version or range of versions an endpoint accommodates, ensuring that this is automatically enforced and communicated to users of your API. This capability enhances the flexibility and usability of your API, making it even more adaptable to client requirements.

Gunicorn, also known as 'Green Unicorn,' functions as a Python WSGI HTTP Server tailored for UNIX systems. Utilizing a pre-fork worker model, it efficiently manages multiple requests. This server is highly adaptable, supporting a wide range of web frameworks, and is designed to be easy to implement, resource-efficient, and relatively fast, making it a preferred choice for many developers. Its performance and compatibility make it an excellent option for deploying web applications.

LoopBack 4 is an incredibly versatile framework built on Node.js and TypeScript, designed specifically for the creation of APIs and microservices. Featuring a completely revamped core, it offers exceptional extensibility and flexibility, leveraging TypeScript/ES2017. Users can effortlessly craft robust APIs thanks to an innovative approach for defining REST APIs and managing API requests and responses. The updated programming model introduces advanced concepts like dependency injection, components, mixins, and repositories, making it the most adaptable version to date. Additionally, the LoopBack 4 CLI serves as a command-line tool that facilitates the quick setup of projects or extensions, ensuring adherence to best practices right from the start. This open-source framework not only simplifies the development process but also allows for seamless access to a variety of data sources, including major relational databases, MongoDB, SOAP, and REST APIs. Moreover, developers can implement complex APIs by incorporating model relationships and access controls, further enhancing their application's capabilities. With these features, LoopBack 4 stands out as an essential tool for modern API development.

Falcon is an exceptionally swift and lightweight Python web API framework designed for creating powerful application backends and microservices. It seamlessly integrates with both asyncio (ASGI) and gevent/meinheld (WSGI), making it flexible for various use cases. The framework promotes the principles of REST architecture, allowing developers to implement resource classes that manage HTTP method handlers to address requests and facilitate state changes. By enhancing traditional Python web frameworks, Falcon delivers added reliability, adaptability, and efficiency tailored to your specific needs. Additionally, there is a variety of Falcon add-ons, templates, and supplementary packages available for integration into your projects. For a comprehensive start, several of these resources are compiled on the Falcon wiki, and exploring PyPI could uncover even more useful tools and libraries. This ecosystem of resources ensures developers have ample support as they build and scale their applications.

Rio is an innovative open-source framework built in Python that allows developers to create both modern web and desktop applications solely using the Python programming language. Drawing inspiration from popular frameworks such as React and Flutter, Rio offers a declarative user interface model where components are represented as Python data classes equipped with a build() method, which supports reactive state management for smooth UI updates. The framework boasts over 50 pre-built components that conform to Google's Material Design principles, making it easier to design professional-quality user interfaces. With a layout system that is both Pythonic and user-friendly, Rio calculates the natural size of each component before allocating space, removing the necessity for conventional CSS styles. Furthermore, developers have the flexibility to run their applications either locally or directly in the browser, with FastAPI serving as the backend and communication facilitated through WebSockets. This seamless integration enhances the development experience, enabling a more efficient workflow for creating dynamic applications.

Restify is a Node.js web service framework designed specifically for the development of semantically accurate RESTful web services that can handle production demands at a large scale. This framework emphasizes both introspection and performance, making it a favored choice for some of the most extensive Node.js applications globally. Operating at scale necessitates the ability to trace issues back to their source, which involves distinguishing the relevant information from the irrelevant. With a strong focus on post-mortem debugging, restify is constructed with this capability in mind. Adhering closely to the specifications is a primary objective of the project, and you will frequently encounter references to RFCs throughout the GitHub issues and within the code itself. Numerous well-regarded companies in the industry utilize restify to support significant Node.js deployments, highlighting its importance in the future landscape of Node.js REST development. Setting up a server with restify is straightforward and efficient, and similar to many other REST frameworks based on Node.js, it employs a Sinatra-style syntax for defining routes and the corresponding function handlers. This simplicity in setup allows developers to quickly get their services up and running.

Express is a lightweight and adaptable web application framework for Node.js, designed to offer a comprehensive array of features suitable for both web and mobile applications. It equips developers with a wide range of HTTP utility methods and middleware, facilitating the swift creation of powerful APIs. By providing only a minimal layer of essential web application functionalities, Express ensures that the core features of Node.js remain accessible and transparent to developers. Notably, it does not impose any database requirements, allowing developers the flexibility to connect with virtually any database through third-party Node modules. Additionally, a 404 response in Express is intentionally not treated as an error; rather, it signifies that all middleware functions and routes have been executed without yielding a response. This unique handling of 404 statuses underlines Express's philosophy of clarity and simplicity in web application development. By putting the focus on essential features and allowing developers to build upon them, Express empowers users to create tailored solutions that meet their specific needs.

Flask is a minimalistic WSGI web application framework that prioritizes simplicity and rapid development, making it accessible for beginners while also being capable of supporting complex projects. Originally, it served as a basic wrapper around Werkzeug and Jinja but has since evolved into one of the leading frameworks for web development in Python. It provides recommendations without imposing strict requirements on dependencies or project structures, giving developers the freedom to select their preferred tools and libraries. Furthermore, the community has contributed a wide array of extensions, facilitating the integration of additional features and functionality into applications. This flexibility and support have contributed to Flask's widespread adoption and enduring popularity among developers.

Create robust and scalable applications effortlessly, with complete functionality right from the start, allowing you to code however you prefer. Originally designed to support Walmart's massive Black Friday sales, hapi has established itself as a reliable choice for enterprise-level backend solutions. With hapi, every line of code you install is thoroughly verified, eliminating concerns about poorly maintained dependencies or unreliable contributors. Notably, hapi stands out as the only major Node framework free from external code dependencies. Its stringent security measures include two-factor authentication for all contributors, ensuring a secure environment for managing and distributing code. Each component of hapi is equipped with the most secure default settings available from the outset. In addition to safeguarding server performance with payload limits and request timeouts, hapi effectively prevents error messages that could potentially expose sensitive information or reveal vulnerabilities. Furthermore, it offers the most comprehensive authorization and authentication API found in any Node framework, making it a top choice for developers focused on security and efficiency. By choosing hapi, you gain not only performance but also peace of mind regarding the security of your applications.

PydanticAI is an innovative framework crafted in Python that aims to facilitate the creation of high-quality applications leveraging generative AI technologies. Developed by the creators of Pydantic, this framework connects effortlessly with leading AI models such as OpenAI, Anthropic, and Gemini. It features a type-safe architecture, enabling real-time debugging and performance tracking through the Pydantic Logfire system. By utilizing Pydantic for output validation, PydanticAI guarantees structured and consistent responses from models. Additionally, the framework incorporates a dependency injection system, which aids in the iterative process of development and testing, and allows for the streaming of LLM outputs to support quick validation. Perfectly suited for AI-centric initiatives, PydanticAI promotes an adaptable and efficient composition of agents while adhering to established Python best practices. Ultimately, the goal behind PydanticAI is to replicate the user-friendly experience of FastAPI in the realm of generative AI application development, thereby enhancing the overall workflow for developers.

Classes are seldom extended and interfaces are infrequently implemented in Javalin. This framework is built upon Jetty and consists of only a few thousand lines of code, allowing it to match the performance of Jetty's native implementation. Its compact size makes understanding the source code straightforward. Unlike many other Java and Kotlin web frameworks, which typically provide separate versions for each programming language, Javalin has been designed with interoperability in mind, ensuring that applications can be developed similarly in both Java and Kotlin. Running on Jetty, one of the most widely used and reliable web servers available for the JVM, Javalin allows comprehensive configuration of the Jetty server, including support for SSL, HTTP/3, and all the features Jetty provides. While many lightweight web frameworks in Java and Kotlin lack OpenAPI support, Javalin includes this functionality, making it a more versatile option for developers. Consequently, Javalin stands out as a robust choice for building modern web applications efficiently.

A highly efficient and minimalist web framework for Go, this tool offers an extensible design that prioritizes performance. Its HTTP router is optimized for speed with zero dynamic memory allocation, ensuring that routes are processed intelligently. Developers can create robust and scalable RESTful APIs, organizing them effortlessly into groups. The framework simplifies security by automatically managing TLS certificate installations through Let's Encrypt. With HTTP/2 support, it enhances both speed and the overall user experience. It also includes numerous built-in middleware options, while allowing users to create custom middleware that can be applied at the root, group, or specific route levels. The framework facilitates data binding for various HTTP request payloads, including formats like JSON, XML, or form data. Furthermore, it provides a comprehensive API for sending diverse HTTP responses, such as JSON, XML, HTML, files, attachments, inline data, streams, or blobs. Template rendering is supported using any preferred template engine, complemented by a centralized HTTP error handling system that is customizable. The API is designed to be easily extendable, making it suitable for a wide range of applications and use cases. In summary, this framework stands out as a powerful tool for developers seeking to build efficient web applications.

Koa is an innovative web framework developed by the creators of Express, intended to serve as a more compact, expressive, and sturdy base for web applications and APIs. By utilizing async functions, Koa eliminates the need for callbacks, significantly enhancing error management. Unlike other frameworks, Koa does not include any bundled middleware in its core, instead offering a refined set of methods that facilitate fast and enjoyable server development. A Koa application is essentially an object that holds an array of middleware functions, which are then composed and executed sequentially in a stack-like manner when a request is made. While Koa shares similarities with various middleware systems, such as Ruby's Rack and Connect, it distinguishes itself by incorporating high-level "sugar" into the otherwise low-level middleware layer. This thoughtful design choice not only boosts interoperability and robustness but also enriches the overall experience of writing middleware. Additionally, Koa's focus on simplicity and flexibility empowers developers to create tailored solutions specific to their application needs.

NiceGUI is an open-source library designed for Python that empowers developers to craft web-based graphical user interfaces (GUIs) using solely Python code. It boasts an approachable learning curve and simultaneously allows for sophisticated customizations. Adopting a backend-first approach, NiceGUI takes care of all web development intricacies, enabling developers to concentrate on their Python code. This framework is well-suited for diverse applications, from simple scripts and dashboards to robotics, IoT systems, smart home automation, and machine learning initiatives. It is constructed on FastAPI for backend functions, utilizes Vue.js for frontend interactions, and incorporates Tailwind CSS for styling aesthetics. With NiceGUI, developers can effortlessly create various elements, including buttons, dialogs, Markdown content, 3D visualizations, plots, and much more—all within a Python-centric environment. Furthermore, it facilitates real-time interactivity via WebSocket connections, allowing for immediate updates in the browser without needing to refresh the page. Additionally, NiceGUI provides a plethora of components and layout configurations, like rows and columns, ensuring versatile design possibilities for users.

Slim serves as an excellent framework for developing APIs that can consume, modify, or distribute data effectively. Additionally, it excels in enabling quick prototyping, and remarkably, you can even construct comprehensive web applications complete with user interfaces. What sets Slim apart is its impressive speed and minimal code requirements, making it a preferable alternative to more extensive frameworks like Symfony or Laravel, which, while robust, can often be more complex than necessary. Slim focuses on delivering a streamlined toolkit that fulfills essential functions without unnecessary extras. To begin using Slim, you will require a web server, such as Nginx or Apache. A typical Slim application consists of routes that react to designated HTTP requests, with each route triggering a callback that produces an HTTP response. Initially, you'll need to instantiate and configure the Slim application, after which you can proceed to outline the routes that will drive your application’s functionality. This approach ensures that your development process remains efficient and straightforward, allowing you to focus on building quality features.

Creating RESTful web services that effectively allow for data exposure in multiple formats while managing the complexities of client-server communication can be quite challenging without the right tools. To ease the process of building RESTful web services and their corresponding clients in Java, the JAX-RS API has been established as a standardized and portable solution. The Jersey framework for RESTful web services 3.x is an open-source, production-ready framework that supports Jakarta RESTful web services 3.0. Beyond merely serving as the JAX-RS reference implementation, Jersey offers its own API, enriching the JAX-RS toolkit with additional capabilities. It also ensures the JAX-RS API is consistently updated, delivering regular releases of high-quality reference implementations that integrate seamlessly with GlassFish. Furthermore, Jersey provides APIs that facilitate extensions, fostering a vibrant community of users and developers. As a result, developers find it significantly easier to create robust RESTful web services using Java and the Java Virtual Machine, paving the way for more innovative applications.

A strongly opinionated framework designed specifically for developing RESTful APIs in Ruby. This framework emphasizes best practices and streamlined conventions to enhance the development process.

Introducing Nancy, a framework heavily inspired by the Ruby Sinatra framework, named after Frank Sinatra's daughter. The overarching project, known as NancyFx, encompasses all related components. Nancy serves as a lightweight and user-friendly framework designed for creating HTTP-based services on both .NET and Mono platforms. Its primary aim is to minimize obstacles, offering a streamlined and enjoyable experience for developers. This focus translates into sensible defaults and conventions, eliminating the need for cumbersome configurations that can often hinder progress. With Nancy, you can quickly transform an idea into a functional website in just minutes. The framework is crafted to be versatile, with the intention of working seamlessly in various environments. Notably, from its inception, Nancy was built to operate independently of existing frameworks, allowing it to be utilized broadly. It's engineered with the .NET framework client profile, making it adaptable to numerous applications and settings.

Asyncio serves as a crucial underpinning for various Python asynchronous frameworks, enabling the development of high-performance network and web servers, database connection libraries, distributed task queues, and more. It is particularly well-suited for handling IO-bound tasks and for crafting complex, structured network applications efficiently. This versatility makes asyncio an essential tool for developers aiming to build scalable and responsive systems.

Sinatra comes equipped with various default settings that dictate the activation of specific features. These settings act as application-level variables, which can be altered through methods such as set, enable, or disable, and they are accessible within the request context through the settings object. Developers are encouraged to define both their custom settings and utilize the default settings that the framework offers. The set method, in its most basic usage, requires just a setting name and its corresponding value, effectively creating an attribute for the application. Additionally, extensions serve as supplementary tools that offer helper or class methods tailored for Sinatra applications, and these are typically detailed on the extension's home pages. Incorporating an extension is often straightforward, requiring only the installation of a gem or library followed by a simple file requirement. Overall, this flexibility empowers developers to tailor their Sinatra applications to meet specific needs or preferences.

Developing asynchronous client and server applications can be a breeze, whether you're working on microservices or cross-platform HTTP client apps, all while keeping it open source, free, and enjoyable! Ktor is uniquely designed from the ground up with Kotlin and Coroutines, enabling you to harness a clear, multiplatform language along with the advantages of asynchronous programming in an easy-to-follow imperative style. With Ktor, you can select only the components you require and arrange your application according to your specific needs. Furthermore, extending Ktor with custom plugins is a straightforward process, allowing for added flexibility. Created by JetBrains, the minds behind IntelliJ IDEA, Kotlin, and other powerful tools, Ktor not only serves a wide array of customers but is also utilized internally within JetBrains itself. Plus, you’ll benefit from exceptional tooling support, making your development experience even more efficient and enjoyable! This combination of features makes Ktor an excellent choice for modern application development.

The Atri framework serves as a comprehensive solution for full-stack web development aimed at creating Progressive Web Applications. By utilizing our intuitive visual editor, developers can enhance their workflow efficiency significantly. Additionally, there is the option to incorporate personalized React code into your projects. Currently, our backend development is supported through Python, with plans to introduce NodeJS support in the near future. Our Command Line Interface (CLI) offers extensive deployment options, allowing easy integration with platforms like GitHub Pages and AWS, among others. Atri also includes a variety of productivity-enhancing tools, such as asset management systems, that can drastically cut down development time from several months to mere hours. Moreover, Atri is redefining the concept of full-stack development by welcoming non-web developers into the app creation and maintenance process, thereby broadening the scope of who can contribute to application development. This inclusive approach not only fosters collaboration but also empowers a diverse range of creators to bring their ideas to life.

Growler is an innovative web framework that operates on top of asyncio, the asynchronous library highlighted in PEP 3156, which became a part of the standard library starting from Python 3.4. Drawing inspiration from the Connect and Express frameworks within the Node.js ecosystem, it utilizes a unified application object along with a chain of middleware to manage HTTP requests effectively. This customizable middleware chain allows for the seamless development of complex applications without unnecessary complications. The pip package manager enhances this framework by enabling optional dependencies, ensuring that users only install features they specifically request. This philosophy aligns perfectly with Growler's minimalistic approach, which avoids unnecessary installations. Furthermore, developers in the Growler community are expected to create and maintain additional packages that have been verified for compatibility and stability with each Growler release, making these extras readily accessible within the Growler package. Emphasizing user control, the framework prioritizes only the essential components needed for smooth functionality.

Streamlit is the quickest way to create and distribute data applications. It allows you to transform your data scripts into shareable web applications within minutes, all using Python and at no cost, eliminating the need for any front-end development skills. The platform is built on three core principles: first, it encourages the use of Python scripting; second, it enables you to construct an application with just a few lines of code through an intuitively simple API, which automatically updates when the source file is saved; and third, it simplifies interaction by making the addition of widgets as straightforward as declaring a variable, without the necessity to write a backend, define routes, or manage HTTP requests. Additionally, you can deploy your applications immediately by utilizing Streamlit’s sharing platform, which facilitates easy sharing, management, and collaboration on your projects. This minimalistic framework empowers you to create robust applications, such as the Face-GAN explorer, which employs Shaobo Guan’s TL-GAN project along with TensorFlow and NVIDIA’s PG-GAN to generate attributes-based facial images. Another example is a real-time object detection app that serves as an image browser for the Udacity self-driving car dataset, showcasing advanced capabilities in processing and recognizing objects in real-time. Through these diverse applications, Streamlit proves to be an invaluable tool for developers and data enthusiasts alike.

Nitric is a versatile, open-source backend framework that operates across various cloud platforms, allowing developers to easily define their infrastructure through code and streamline deployment processes with customizable plugins. It is compatible with several programming languages, such as JavaScript, TypeScript, Python, Go, and Dart. Among its prominent features are the ability to create APIs (including REST and HTTP), serverless functions, routing, and handling authentication and authorization via OIDC. Additionally, it provides support for storage solutions, such as object and file storage, signed URLs, and bucket events, as well as database management, including managed Postgres with migration capabilities. Messaging features like queues, topics, and pub/sub are also integrated, alongside support for websockets, scheduled tasks, and managing sensitive information securely. Nitric can seamlessly integrate with infrastructure management tools like Terraform or Pulumi, or you can develop your own plugins, and it is compatible with leading cloud service providers like AWS, Azure, and Google Cloud. Furthermore, it offers a local development environment that simulates cloud conditions, enabling developers to prototype, test, and refine their applications without incurring any cloud expenses. The framework also places a strong emphasis on declarative security, efficient resource access management, and ensuring portability across different environments, making it a powerful choice for modern application development.

Wasp is a comprehensive web application framework designed to accelerate the development process by minimizing the amount of boilerplate code needed. It employs React for the frontend, Node.js for the backend, and Prisma for managing databases, which allows developers to concentrate on the core functionalities of their applications. With its intuitive declarative syntax and easy configuration, developers can outline the high-level architecture of their app within a .wasp file, while the framework takes care of the more tedious tasks such as routing, authentication, and API management. The objective of Wasp is to streamline the application development process without compromising on flexibility, making it particularly well-suited for creating both MVPs and fully-fledged production applications. Additionally, Wasp's thoughtful design fosters a more efficient workflow, empowering developers to innovate and iterate on their projects with greater ease.

Tornado is a web framework for Python that also serves as an asynchronous networking library, initially created at FriendFeed. Utilizing non-blocking network I/O, it has the capability to manage tens of thousands of simultaneous connections, making it particularly suited for applications requiring long-lived user connections, such as long polling and WebSockets. Unlike most Python web frameworks, Tornado does not follow the WSGI standard and is primarily operated with a single thread per process. Although the tornado.wsgi module offers some WSGI compatibility, it is not the main focus of development, and developers are encouraged to utilize Tornado’s own interfaces, like tornado.web, for building applications. It is important to note that Tornado code is generally not designed to be thread-safe. Since version 5.0, Tornado has been integrated with Python's standard library asyncio module, sharing the same default event loop. This integration allows for seamless mixing of libraries that are built for asyncio with Tornado, enhancing its versatility and functionality. As a result, developers can create highly efficient applications that leverage both Tornado's strengths and asyncio's capabilities.

Numerous Python frameworks are capable of managing simple dashboards, yet they struggle with more complex implementations, which frequently results in teams dividing into specialized frontend and backend roles, creating multiple challenges in the process. Solara emerges as an innovative web framework that merges the principles of ReactJS with the straightforwardness of Python. It provides a versatile API that accommodates different levels of UI complexity while ensuring effective state management. Solara is designed to cater to a wide array of applications, from initial prototypes to sophisticated dashboards, and it seamlessly integrates with platforms such as Jupyter, Voilà, and other web servers. Furthermore, it places a strong emphasis on maintaining high code quality, enhancing developer accessibility, and facilitating thorough testing practices. Ultimately, Solara aims to simplify the development experience while enabling the creation of powerful, data-driven applications.

Develop robust, production-ready Node.js applications in just weeks instead of months. Sails stands out as the leading MVC framework for Node.js, crafted to mirror the well-known MVC structure found in frameworks like Ruby on Rails while addressing the needs of contemporary applications, including data-driven APIs and scalable service-oriented architecture. Utilizing Sails allows for the easy creation of tailored, enterprise-level Node.js applications. By leveraging Sails, your application is entirely composed in JavaScript, the same language your team is already adept at using within the browser. The framework includes a powerful Object-Relational Mapping (ORM) tool called Waterline, which offers a straightforward data access layer that functions seamlessly across various databases. Sails also provides built-in blueprints that facilitate the rapid development of your app's backend without any coding required. Additionally, Sails automatically translates incoming socket messages, ensuring they work with every route in your application. To further enhance your development process, Sails provides commercial support to help speed up project timelines and maintain coding best practices throughout your work. With its expansive features, Sails empowers developers to focus on building innovative solutions without getting bogged down in technical complexities.

Jinja serves as a rapid, versatile, and adaptable templating engine. It features unique placeholders within the templates that enable the incorporation of code resembling Python syntax, facilitating dynamic content generation. Subsequently, the template receives data, which is utilized to produce the final rendered document, showcasing Jinja's powerful capabilities in web development.

Reflex is an innovative open-source framework designed for Python developers, enabling the creation of comprehensive web applications solely using pure Python, thereby removing the necessity for JavaScript or intricate frontend frameworks. With Reflex, developers can seamlessly write, test, and enhance their applications exclusively in Python, providing a rapid, adaptable, and scalable development experience. The framework boasts an AI Builder that enables users to articulate their app concepts, instantly generating a fully functional Python application that encompasses backend, frontend, and database integration. Reflex’s architecture simplifies the frontend into a single-page Next.js application while utilizing FastAPI for the backend, with real-time communication facilitated through WebSockets. This design guarantees that all crucial app logic and state management are retained in Python and executed on the server side. Furthermore, Reflex includes over 60 pre-built components based on Radix UI and allows for the integration of custom React components, empowering developers to craft intricate user interfaces without the need to write HTML or CSS. Ultimately, this framework revolutionizes the way web applications are developed by providing a unified programming language throughout the entire stack.

Originally created by Uber, Horovod aims to simplify and accelerate the process of distributed deep learning, significantly reducing model training durations from several days or weeks to mere hours or even minutes. By utilizing Horovod, users can effortlessly scale their existing training scripts to leverage the power of hundreds of GPUs with just a few lines of Python code. It offers flexibility for deployment, as it can be installed on local servers or seamlessly operated in various cloud environments such as AWS, Azure, and Databricks. In addition, Horovod is compatible with Apache Spark, allowing a cohesive integration of data processing and model training into one streamlined pipeline. Once set up, the infrastructure provided by Horovod supports model training across any framework, facilitating easy transitions between TensorFlow, PyTorch, MXNet, and potential future frameworks as the landscape of machine learning technologies continues to progress. This adaptability ensures that users can keep pace with the rapid advancements in the field without being locked into a single technology.

Instructor serves as a powerful tool for developers who wish to derive structured data from natural language input by utilizing Large Language Models (LLMs). By integrating seamlessly with Python's Pydantic library, it enables users to specify the desired output structures through type hints, which not only streamlines schema validation but also enhances compatibility with various integrated development environments (IDEs). The platform is compatible with multiple LLM providers such as OpenAI, Anthropic, Litellm, and Cohere, thus offering a wide range of implementation options. Its customizable features allow users to define specific validators and tailor error messages, significantly improving the data validation workflow. Trusted by engineers from notable platforms like Langflow, Instructor demonstrates a high level of reliability and effectiveness in managing structured outputs driven by LLMs. Additionally, the reliance on Pydantic and type hints simplifies the process of schema validation and prompting, requiring less effort and code from developers while ensuring smooth integration with their IDEs. This adaptability makes Instructor an invaluable asset for developers looking to enhance their data extraction and validation processes.

QUnit is a robust and user-friendly JavaScript testing framework designed for simplicity. Its setup is hassle-free, requiring no configuration for Node.js projects and only minimal adjustments for those intended for browser use. You have the flexibility to execute your tests in various environments, whether it’s Node.js, a web browser, or even within a web worker. This allows you to validate your code in the context in which it operates. With adaptable APIs available for custom assertions, runners, and reporters, QUnit can be tailored to meet specific requirements. The onboarding process for QUnit in Node.js projects is swift and straightforward; just begin by installing the QUnit package via npm. Once installed, you can initiate the test suite using the QUnit CLI. It’s advisable to execute the QUnit command through an npm script, which will seamlessly locate the QUnit command from your local dependencies. To enhance your understanding of how to organize tests and make assertions, refer to the API documentation. Additionally, QUnit adheres to the Node.js Long-term Support (LTS) schedule, ensuring it is compatible with current, active LTS, and maintenance LTS releases, thus providing long-term reliability for your projects. This commitment to support makes QUnit an ideal choice for developers seeking a dependable testing framework.

Empowering the development of next-generation microservices and applications, Swoole allows you to create high-performance, scalable, and concurrent services utilizing TCP, UDP, Unix Socket, HTTP, and GRPC with PHP's user-friendly coroutine and fibers API. By leveraging PHP coroutines and fibers, you can easily craft your next scalable asynchronous application. Unlike other asynchronous programming frameworks or solutions like Nginx, Tornado, and Node.js, Swoole offers a comprehensive async solution with built-in support for async programming through fibers and coroutines, a variety of multi-threaded I/O modules (including HTTP server, GRPC, and process pools), and compatibility with popular PHP clients such as PDO for MySQL, Redis, and CURL. You have the flexibility to choose between synchronous or asynchronous approaches, using either coroutine or fiber APIs to develop applications, or you can create thousands of lightweight fibers within a single Linux process. With Swoole, your PHP applications become more efficient, transcending the limitations of the traditional stateless model, thereby allowing you to concentrate on innovating high-scale products that meet modern demands. This innovative framework not only enhances performance but also streamlines the development process for programmers seeking to push the boundaries of what’s possible with PHP.

The modular architecture provides remarkable flexibility by permitting the integration of various libraries. This adaptable framework serves as a comprehensive foundation for a wide range of server-side applications. It harnesses the latest features of JavaScript, introducing design patterns and well-established solutions to the Node.js ecosystem. Serving as an all-encompassing development kit, it facilitates the creation of scalable server-side applications. In recent years, Node.js has positioned JavaScript as the dominant language of the web, applicable to both frontend and backend development. This shift has led to the emergence of impressive frameworks such as Angular, React, and Vue, which enhance developer efficiency and allow for the rapid development of fast, testable, and extendable frontend applications. Nonetheless, despite the abundance of exceptional libraries, utilities, and tools available for Node and server-side JavaScript, there remains a significant challenge that is not adequately addressed—namely, the issue of architecture. This gap highlights the need for more robust solutions that can streamline and improve the overall structure of server-side development.

Django is an advanced web framework for Python that promotes swift development and emphasizes straightforward, practical design. Created by skilled developers, it alleviates many of the complexities associated with web development, allowing you to concentrate on building your application without the need to start from scratch. The framework was crafted to enable developers to transform their ideas into fully functioning applications in the shortest time possible. Prioritizing security, Django assists developers in sidestepping numerous prevalent security pitfalls. Many of the most active websites utilize Django's capability to scale rapidly and adapt flexibly to varying demands. The framework comes equipped with numerous built-in features designed to tackle various common web development challenges. Moreover, Django efficiently manages essential tasks such as user authentication, content administration, site maps, RSS feeds, and much more — all available right from the start, making it a powerful tool for developers. Its comprehensive toolset ensures that developers can implement various functionalities with minimal effort, enhancing productivity and project turnaround time.