Best Development Frameworks for Python

Django is a high level Python web framework that encourages quick development and pragmatic design. It was developed by experienced web developers and allows you to focus on writing your application without having to reinvent the wheel. Django was created to make it easy for developers to take their applications from conception to completion as quickly and efficiently as possible. Django is committed to security and helps developers avoid common security errors. Django's ability scale quickly and flexiblely is a key feature of some of the most popular web sites. Django comes with a variety of additional tools that can be used to perform common web development tasks. Django handles user authentication, content administration and site maps. It also supports RSS feeds and many other tasks.

Streamlit. The fastest way to create and share data apps. In minutes, turn data scripts into sharable Web apps All in Python. All this for free. No need for front-end experience. Streamlit combines three simple concepts. Use Python scripting. Our API is simple and allows you to create an app in just a few lines of code. You can then see the app update automatically as you save your source file. You can also use interaction. Declaring a variable is the same thing as adding a widget. You don't need to create a backend, define routes or handle HTTP requests. You can deploy your app instantly. Streamlit's platform for sharing allows you to easily share, manage and collaborate on your apps. A framework that allows you to create powerful apps. Face-GAN explorer. App that generates faces matching selected attributes using Shaobo Guan’s TL-GAN project, TensorFlow and NVIDIA’s PG-GAN. Real time object detection. A browser that displays images from the Udacity self driving-car dataset.

Flask is a lightweight WSGI framework for web applications. It's easy to use and can scale up to complex applications. It started as a wrapper for Jinja and Werkzeug, and has since grown to be one of the most popular Python web app frameworks. Flask is a suggestion tool that doesn't require any dependencies. The developer can choose the tools and libraries that they prefer. The community has many extensions that make it easy to add new functionality.

Atri Framework is a full stack web development framework for building Progressive Web Apps. Our visual editor will increase your productivity. You can also add custom React code. Currently, we only support Python for backend developers. NodeJS will be added soon. Our CLI offers rich support for deployment on your platform of preference such as GitHub pages, AWS, and more. Atri framework includes a set of productivity tools like visual editor, asset-management tools, etc. This reduces development time from months to just a few hours. Atri framework extends the definition of a full-stack app to include non-web developers in the creation and maintenance of the app.

Native Image allows you to discover libraries and frameworks that work right out of the box. Native Image is an advanced optimizing compiler that generates faster, leaner code and uses fewer computing resources. To ensure Java applications run instantly and provide peak performance, you can compile Java applications in advance. You can leverage the best features and libraries from popular languages in one app. Monitor, profile, and optimize Java and other languages' resource consumption. GraalVM's JIT compiler produces optimized native code that runs faster and produces less garbage. It uses less CPU due to a variety of compiler optimizations and aggressive inlining techniques. Applications that run faster and use fewer resources will be the end result, which can reduce cloud and infrastructure costs.

Tornado is a Python web framework that also includes an asynchronous networking library. It was originally developed by FriendFeed. Tornado uses non-blocking network I/O to scale to thousands of open connections. This makes it ideal for long polling and WebSockets as well as other applications that require a long-lasting connection to each user. Tornado is a Python web framework that is unique. It does not use WSGI and is usually run with one thread per process. Although some support for WSGI is provided in the tornado.wsgi module it is not a main focus of development. Most applications should be written to use Tornado’s own interfaces (such WSGI directly) instead of using WSGI. Tornado code is not thread safe. Tornado is integrated into the standard library asyncio and shares the same event loop (by default, Tornado 5.0). Libraries designed for asyncio use can be used with Tornado.

Jinja is a fast and expressive extensible templating engine. The template has special placeholders that allow you to write code similar to Python syntax. The template is then passed data to create the final document.

Everything you need to build modern APIs. From data serialization and validating to ORM integration, authentication, session management and websockets. Litestar places a high priority on developer experience and performance. It is one of the fastest ASGI Frameworks, and developing with it can be just as fast. Asynchronous at its core, but synchronous execution is not treated as a second-class citizen. Synchronous applications are run without performance penalties. Interfaces for key/value stores which seamlessly integrate into your application or third party extensions. Response caching using minimal configuration to improve response times. Response caching using minimal configuration to speed up response. Session-based and JWT-based authentication tools and utilities are available to help you build your authentication layer.

You can build your app faster with an intuitive API that has smart defaults. Build your app the way you want without being constrained by your tooling. Built from the ground-up with speed and scalability in mind. It can power both large and small web applications. It comes with a webserver that is ready to run your web applications. Sanic is the most popular async framework on PyPI. The project is maintained by the community and run for the community.

It is based upon the concept of Model,View and Controllers. The framework is designed with a clean style in mind, which results in code that can be maintained for a long time. Other popular frameworks are designed with the mindset of launching quickly. This leads to code that is easy to deploy, but becomes complex after several iterations. Apache or gunicorn is an example of a control process. When the controller process is started, it receives a manifest. All requests sent to the controller process are routed to the program in the manifest. A manifest is a collection of programs. A user sends a request to a controller process. This can be either a web request or a command-line invocation or any other action handled by a Controller Process.

Growler is a web-framework built on top of asyncio. This asynchronous library was described in PEP 3156 and added to python's standard library with version 3.4. It takes its cues from the Connect & express frameworks within the nodejs eco-system, which uses a single application object with a series of middleware for processing HTTP requests. The custom middleware chain is a simple way to implement complex apps. The pip utility lets packages specify optional requirements so that features can be installed only on request. This fits well with the minimal approach of the Growler project. Don't install anything that the user doesn’t need. There are (will) be community packages that have been approved by the Growler developers. (After ensuring that they work as expected and have been well tested with each growler version) These will be available directly from the Growler package.

API development is dramatically simplified by using multiple interfaces. With hug, you can design and develop an API once, and then expose it to your clients in the way they need. Hug is the fastest way to create Python3 APIs, whether you want to do it locally, via HTTP or on the command line. Hug has been designed with performance in the forefront of its mind. It is designed to only consume resources when needed and is compiled with Cython for amazing performance. Huge is one of the fastest Python Frameworks. It is also the fastest high-level Python 3 framework. With hug, you can specify which versions or ranges of versions your API supports. This will then be enforced and communicated automatically to the API's users.

CherryPy lets developers build web applications the same way as they would any other object-oriented Python programme. This allows for smaller source code to be developed in less time. CherryPy has been around for more than ten year and has proven to be reliable and fast. Many sites, from the most basic to the most demanding, use it in production. To get the most out of CherryPy you should begin with the tutorials which will guide you through the most important aspects of the framework. After you have completed the tutorials, you may want to look at the advanced and basic sections to see how certain operations are implemented. You will also want to read the configuration and extension sections, which go into detail about the powerful features of the framework.

Bottle is a lightweight, fast and simple WSGI micro-web framework for Python. It is distributed in a single module file and does not have any dependencies except for the Python Standard Library. Support for clean and dynamic URLs. Requests to function call mapping. Built-in template engine that is fast and pythonic, and supports mako2, jinja2 or cheetah. Access to form data, file uploads cookies, headers, and other HTTP metadata. Built-in HTTP Development Server and support for paste bjoern gae cherrypy or other WSGI capable HTTP servers.

Uber developed Horovod to make distributed deep-learning fast and easy to implement, reducing model training time from days and even weeks to minutes and hours. Horovod allows you to scale up an existing script so that it runs on hundreds of GPUs with just a few lines Python code. Horovod is available on-premises or as a cloud platform, including AWS Azure and Databricks. Horovod is also able to run on Apache Spark, allowing data processing and model-training to be combined into a single pipeline. Horovod can be configured to use the same infrastructure to train models using any framework. This makes it easy to switch from TensorFlow to PyTorch to MXNet and future frameworks, as machine learning tech stacks evolve.

Enhance comes with everything you need to create a production-ready application. Organize pages as easily as you would a desktop folder. JavaScript functions make it easy to access and store data. Create reusable components using HTML and CSS scoped. Add client-side interactivity where you need it. Build custom elements that can be seamlessly upgraded to interactive web components. Enhance makes it easy to do things the right way. Start with a universal version. From there, upgrade interactive elements incrementally. The web platform is always up to date and has all the features you need. By removing the framework bloat, you can eliminate throbbers or loading screens and only write what you need. You'll learn development techniques that will last for as long as the internet. Enhance apps were designed with deployment in the forefront. Begin is the perfect tool for when you're ready.

We believe that the most effective and differentiated applications won't only call out via an API to a language model. LangChain supports several modules. We provide examples, how-to guides and reference docs for each module. Memory is the concept that a chain/agent calls can persist in its state. LangChain provides a standard interface to memory, a collection memory implementations and examples of agents/chains that use it. This module outlines best practices for combining language models with your own text data. Language models can often be more powerful than they are alone.

FastAPI is an advanced web framework that allows you to build APIs using Python 3.7+. It uses standard Python type hints. Fast: Very high-performance, on par with NodeJS or Go (thanks Pydantic and Starlette). One of the fastest Python Frameworks available. Reduce code duplication and get multiple features out of each parameter declaration.

Starlette comes with an application class called Starlette, which ties all its other functionality together. A list of middleware that will be run for each request. A starlette application always includes two middleware classes. ServerErrorMiddleware is added as the very outermost middleware, to handle any uncaught errors occurring anywhere in the entire stack. ExceptionMiddleware will be added as the innermost middleware to handle any handled exceptions that occur in the routing or the endpoints. Callables for startup handlers may not take arguments and can be either standard or async. Shutdown handler calls do not accept arguments and can be either standard functions, or async function.

Supports both the client and server side HTTP protocol. Both client and server web sockets are supported out-of-the box.

Asyncio provides a foundation for many Python asynchronous frameworks. These include high-performance web and network servers, database connection libraries, task queues distributed across multiple computers, etc. Asyncio can be a great fit for IO bound and high-level network code.

Falcon is a minimalist Python web API Framework for building robust microservices and app backends. The framework is compatible with both ASGI and gevent/meinheld. The Falcon web framework promotes REST architecture. Resource classes implement HTTP handlers to resolve requests and perform transitions. Falcon is a complement to more general Python webframeworks by adding extra reliability, flexibility and performance where you need it. You can use a number of Falcon templates, add-ons and complementary packages in your projects. You can find a few of these on the Falcon Wiki as a start, but you might also want to search PyPI for more resources.

As always, the first step is to model your data. Applications come and go but data will never disappear. Once your model has been implemented, CubicWeb will run and you can add high-value functionality for your users. RQL is compact language based on the application model. It focuses on the attributes and relationships between data. It is similar in syntax to SPARQL, but more readable for humans. After a RQL query has selected a graph, several views are available to display the data in the most relevant manner. This pattern is used to design the entire CubicWeb architecture. Permissions can be defined with unlimited precision in the data model. Any RQL request sent to the engine is automatically accompanied by security checks. CubicWeb relies upon a standard SQL-based database to store and manage data. CubicWeb prefers PostgreSQL as its database.

Creating ML applications should be easy and frictionless. UnionML is a Python framework that is built on Flyte™ and unifies the ecosystem of ML software into a single interface. Combine the tools you love with a simple, standard API. This allows you to stop writing boilerplate code and focus on the important things: the data and models that learn from it. Fit the rich ecosystems of tools and frameworks to a common protocol for Machine Learning. Implement endpoints using industry-standard machine-learning methods for fetching data and training models. Serve predictions (and more) in order to create a complete ML stack. UnionML apps can be used by data scientists, ML engineers, and MLOps professionals to define a single source for truth about the behavior of your ML system.

Many Python frameworks are capable of handling simple dashboards, but struggle with complex ones. This often leads to teams splitting into frontend and rearend roles, which can cause various challenges. Solara is a web framework that combines ReactJS with Python simplicity. It has a flexible API that allows for UI complexity and efficient state management. Solara is compatible with a variety of platforms, including Jupyter and Voila. It also supports a wide range of applications from dashboards to prototypes. It focuses on code quality, developer access, and robust testing.