Best Development Frameworks for Python

LangChain provides a comprehensive framework that empowers developers to build and scale intelligent applications using large language models (LLMs). By integrating data and APIs, LangChain enables context-aware applications that can perform reasoning tasks. The suite includes LangGraph, a tool for orchestrating complex workflows, and LangSmith, a platform for monitoring and optimizing LLM-driven agents. LangChain supports the full lifecycle of LLM applications, offering tools to handle everything from initial design and deployment to post-launch performance management. Its flexibility makes it an ideal solution for businesses looking to enhance their applications with AI-powered reasoning and automation.

FastAPI is an advanced and high-speed web framework designed for creating APIs using Python 3.7 and later, leveraging standard Python type hints. It boasts exceptional performance that rivals that of NodeJS and Go, largely due to its integration with Starlette and Pydantic. As one of the swiftest frameworks available in the Python ecosystem, it emphasizes reducing code redundancy while providing a variety of features from each parameter declaration. This makes it an excellent choice for developers seeking efficiency and maintainability in their API projects.

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.

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.

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.

Explore libraries and frameworks that seamlessly integrate with Native Image to enhance your development experience. Utilize Graal, an innovative optimizing compiler, to produce more efficient and lightweight code that demands fewer computing resources. By compiling Java applications into native binaries ahead of time, you can achieve instant startup and optimal performance without any warmup delays. Combine the finest features and libraries from various popular languages within a single application with negligible overhead. Additionally, you can debug, monitor, profile, and optimize resource usage not just in Java, but across multiple programming languages as well. The high-performance JIT compiler of GraalVM delivers optimized native machine code that accelerates execution speed, minimizes garbage generation, and reduces CPU utilization through a suite of advanced compiler optimizations and aggressive inlining methods. Ultimately, these enhancements lead to applications that operate more swiftly and utilize fewer resources, significantly lowering costs related to cloud services and infrastructure. This remarkable efficiency fosters a more sustainable approach to software development and resource management.

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.

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.

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.

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.

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.

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.

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.

Enhance your ships with all the necessary tools to create a fully functioning app ready for production. Arrange your pages effortlessly, similar to how you would organize files in a desktop folder. Utilize straightforward JavaScript functions to access and store your data efficiently. Create reusable components using HTML paired with scoped CSS for better organization. Implement client-side interactions specifically where they are needed for enhanced user experience. Develop server-rendered custom elements that can smoothly transition into interactive web components. Enhance simplifies the process of doing things the right way. Begin with a version that operates universally for all users. Gradually upgrade interactive features from that foundational point. The web platform offers everything required and remains timeless in its relevance. Move away from throbbers and loading screens by eliminating unnecessary framework bloat, focusing solely on the code that is essential. As you learn Enhance, you are acquiring development techniques that will endure alongside the web's evolution. Enhance applications are crafted with deployment considerations at their core. When the moment arrives for your launch, we are here to support you with Begin, ensuring a smooth transition to the live environment. With Enhance, you are not just creating apps; you are building a sustainable future in web development.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.