Top 10 Python Web Frameworks to Learn in 2018

Frameworks make developers’ lives easier by offering them a structure for application development. They automate the implementation of common solutions, cutting development time and allowing developers to focus more on application logic instead of routine elements. In this article, we share our own list of the top ten Python that we believe will be useful on your way to becoming a professional backend developer and improving your existing skill set. Keep in mind that these frameworks are listed in no particular order: we’ve focused on showing what you’re able to do as opposed to telling what you should do. web frameworks Some things to consider When deciding which framework to use, look at the size and complexity of your project. If what you’re looking to develop is a large system packed with features and requirements, a full-stack framework might be the right choice. If your app is on the smaller and simpler side, you should probably consider a microframework. You can find information about the type and focus of some frameworks . A final decision, though, should come from your own understanding of your project and the tasks you want to simplify. here However, frameworks can also stand in the way of development. When choosing a full-stack framework, you’re often signing up for a set of limitations. Of course, you can find ways to work around them, but be careful you don’t spend more time fighting for your own freedom than you would have writing an app in pure . Python Full-stack frameworks Django | | | Official Website GitHub PyPI Awesome GitHub Stars: 31,592 | GitHub Forks: 13,361 Django is a free open-source full-stack Python framework. It tries to include all of the necessary features by default as opposed to offering them as separate libraries. Some of the exemplary features of Django are its , , (ORM), and (Django v.1.7+). authentication URL routing, template engine object-relational mapper database schema migrations Django uses its ORM to map objects to database tables. The same code works with different databases and isn’t difficult to transfer from one database to another. The main databases that Django works with are , , , and , but third-party drivers allow you to use others as well. PostgreSQL MySQL SQLite Oracle Here at SteelKiwi, we use Django as our primary framework for backend development. If you’d like to see the amazing apps we’ve already developed with Django, visit our Projects page. Pyramid | | | Official Website GitHub PyPI Awesome GitHub Stars: 2,640 | GitHub Forks: 782 Pyramid is an open-source Python-based web application framework. Its main goal is to do as much as possible with minimum complexity. The most striking feature of Pyramid is its ability to work well with both small and large applications. Some of Pyramid’s great features include: Single-file applications URL generation Extensible configuration All-embracing and templating asset specifications Flexible and authentication authorization , support, and Testing comprehensive data documentation and many per-route views View predicates Function decorators Predicates Renderers TurboGears | | Official Website GitHub PyPI GitHub Stars: 230 | GitHub Forks: 56 TurboGears is an open-source, data-driven full-stack web application framework. It allows you to quickly develop extensible data-driven web applications. TurboGears comes with user-friendly templating and a powerful and flexible ORM. Some of TurboGears’ distinctive features include: Multi-database support MVC-style architecture Support for and SQLObject SQLAlchemy and included in preferred templating languages Kid Genshi Validation with FormEncode as a web server Pylons an application library that simplifies coordination of frontend design and server development ToscaWidgets, templates PasteScript Front-facing WSGI-based servers ( , etc.) Paste HTTP server CherryPy WSGI/HTTP server, Command-line tools integration MochiKit JavaScript library All features implemented as function decorators Web2py | | Official Website GitHub PyPI GitHub Stars: 1,536 | GitHub Forks: 742 Web2py is a scalable open-source full-stack Python framework. However, you should know before reading further that Web2py does not support Python 3. What’s great about Web2py, though, is that it comes with its own web-based IDEwhich, among other things, includes a code editor, debugger, and one-click deployment. Other valuable Web2py features include: No requirements for installation and configuration Ability to run on Windows, Mac, Linux/Unix, , , and any web hosting that supports either Python 2.5–2.7 or Java+Python Google App Engine Amazon EC2 Readability of multiple protocols Data security that prevents such vulnerabilities as cross-site scripting, injection flaws, and malicious file execution Successful employment of software engineering practices, making code easy to read and maintain Error tracking, thorough error logging and ticketing Role-based access control Support for internationalization Backward compatibility that ensures user-oriented advancement without the need to lose ties with earlier versions Microframeworks Flask | | | Official Website GitHub PyPI Awesome Github Stars: 32,959 | GitHub Forks: 10,254 Flask is a Python framework available under the BSD license. It was inspired by the Sinatra Ruby framework. Flask depends on the and template. Werkzeug WSGI toolkit Jinja2 The main idea behind Flask is to help build a solid web application foundation. From there, you can use any extensions you might need. Flask’s lightweight and modular design makes it easily adaptable to developers’ needs. It includes a number of useful out-of-the-box features: Built-in and a fast debugger development server Integrated support for unit testing RESTful request dispatching Jinja2 templating Secure cookies support (client-side sessions) WSGI 1.0 compliance Unicode-based Ability to plug in any ORM HTTP request handling Bottle | | Official Website GitHub PyPI GitHub Stars: 5,198 | GitHub Forks: 1,065 Bottle is a microframework. Originally meant for building APIs, Bottle implements everything in a . It has no dependencies apart from the Coding with Bottle gets you closer to the metal than coding with any full-stack framework. single source file Python Standard Library. Its default features include routing, templating, utilities, and a basic abstraction over the standard. WSGI Routing — supports requests to function-call mapping, allowing you to achieve clean and dynamic URLs Templates — a fast and Pythonic out of the box along with full support for , , and template engine mako jinja2 cheetah Utilities — comfortable access to form data, file uploads, cookies, headers, and other HTTP-related metadata Server — a built-in HTTP development server that supports , , , , and any other WSGI-capable HTTP server fapws3 bjoern GAE СherryPy Bottle is a perfect solution for prototyping, learning the organization of web frameworks, and building simple personal apps. CherryPy | | Official Website GitHub PyPI GitHub Stars: 595 | GitHub Forks: 161 CherryPy is an open-source, minimalist web framework. It makes building Python web applications no different than building any other object-oriented program. In fact, a CherryPy-powered web app is a standalone Python application that embeds its own multi-threaded web server. CherryPy apps run on any operating system that supports Python (Windows, macOS, Linux, etc.). They can be deployed anywhere you can run an ordinary Python app. You don’t need for CherryPy apps, but you can run a CherryPy app behind Apache just as well as you can run it behind or . Apache Lighttpd IIS CherryPy isn’t a very limiting framework, as it allows you to use any type of technology for templating, data access, and so on. However, it’s still able to handlesessions, statics, cookies, file uploads, and everything else that a web framework typically can. Some of the default CherryPy features include: An thread-pooled webserver HTTP/1.1-compliant WSGI Simplicity of at once running multiple HTTP servers A powerful configuration system A flexible plugin system Out-of-the-box tools for , , , , , and caching encoding sessions authentication static content so on Built-in support for , , and profiling coverage testing Ability to run on , , , , and Python 2.7+ Python 3.1+ PyPy Jython Android Asynchronous frameworks Sanic | | Official Website GitHub PyPI GitHub Stars: 8,488 | GitHub Forks: 776 Sanic is a Python web framework built on and created specifically for fast HTTP responses via asynchronous request handling. uvloop It runs on Sanic supports asynchronous request handlers, which makes it compatible with Python 3.5’s async/await functions. This enhances its speed, offering non-blocking capabilities. Python 3.5+. In a benchmark test with one process and 100 connections, Sanic was able to handle per second. 33,342 requests Tornado | | Official Website GitHub PyPI GitHub Stars: 15,126 | GitHub Forks: 4,432 Tornado is a Python web framework and asynchronous networking library. It uses a non-blocking network I/O and solves the C10k issue (meaning that, if configured properly, it can handle 10,000+ concurrent connections). This makes it a great tool for building applications requiring high performance and tens of thousands of concurrent users. Tornado’s main features are: Built-in support for user authentication Real-time services High-quality performance Python-based language web templating Non-blocking HTTP client Implementation of schemes ( , Facebook Login, , FriendFeed OpenID/OAuth, ) third-party authentication and authorization Google OpenID/OAuth Yahoo BBAuth Twitter OAuth Support for translation and localization Other Dash | | | Official Website GitHub PyPI Awesome GitHub Stars: 3,903 | GitHub Forks: 360 Dash is an open-source Python framework used for building analytical web applications. It’s especially good for Python data scientists who aren’t very familiar with web development. Dash applications are web servers that run and communicate with JSON packets over HTTP requests. Their frontend renders components with Flask React.js. Apps developed with Dash are rendered in the web browser and can be deployed to servers. This also means that Dash applications are inherently cross-platform and mobile-ready. Dash developers have access to the underlying Flask instance and all of its configurable properties. To extend the capabilities of Dash applications, developers can also use the rich set of Flask Plugins. Choosing a Python web framework The right framework might be all you need to develop a successful project. We really hope that you’ve found an interesting framework in this article. if you’re interested in exploring more options. We also have another one, the 17 best Python web frameworks of 2017, We’d love if you visited our . Our developers are trying hard to innovate in the world of tech, and the more people who get involved, the better. corporate GitHub page SteelKiwi