Among different programming languages, Python is widely used for web development. According to the Popularity of Programming Language Index, “the Python grew the most over the last 5 years by 19.0%. In fact, the TIOBE index puts python web app development at the 3rd place among the most used languages in the world.”
So, the python framework is quite helpful for making the life of developers easier. It not only saves time but also helps developers to focus on the core application logic and makes the development of web applications quite easy.
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Best Python Frameworks to Learn
Since Python is one of the popular programming languages, there is no scarcity of frameworks for python. Each framework has some advantages over others. There are mainly three types of python frameworks- full-stack, micro-framework, and asynchronous.
Full-stack framework: It is an all-in-one solution for developers and provides anything that is required for building an application.
Micro-framework: It lacks most of the functionality of a full-fledged framework.
Asynchronous framework: It is a relatively recent python framework that enables the developers to handle a large set of concurrent connections.
Also Read: Programming Languages & Frameworks to Learn
In this article, we have discussed 10 python frameworks that you should know. So, here we go:
Django is a free, open-source full stack python framework that is useful for developing complex code and apps.
It comes with several outstanding features like its authentication, URL routing, template engine, an object-relational mapper (ORM), database scheme migrations.
These features make this open-source framework quite versatile and allow the code to work in different databases. Though Django is compatible with databases like PostgreSQL, MySQL, SQLite, and oracle, it can work in other databases via third-party drivers. With Django, you can develop any kind of application either a large web application or a small project.
The Pyramid is another full-stack open framework that aims to gain as much as minimalistic complexity. It runs on Python 3 and is gaining much popularity in recent times.
Pyramid comes with some interesting features like URL generation, extensible configuration, templating and asset specification, flexible authentication, and much more.
The current version of the framework is 1.10. However, the reason for such popularity is that the framework can work incredibly both with a small and large population. It is widely used by tech giants – Mozilla, Dropbox, and SurveyMonkey.
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The Web2Py is an open-source full-stack python framework. It comes with its own web-based IDE that contains a code editor, debugger. Other features include a web-based admin interface, error logging, web-based management interface, ticketing system, etc.
It is a cross-platform framework and can run on Windows, Mac. Linux/ Unix and any web hosting that supports python or java and python. This framework plays an important role in data security by addressing the top security issues.
The CherryPy is an open-source microframework for python. It comes with features like HTTP/1.1-compliant, WSGI thread-pooled web server, and can run several HTTP servers. CherryPy also has some built-in tools for caching, encoding, authorization, and so on.
So, the Web applications that are powered by CherryPy have their multi-threaded web server. Even the app can run without an Apache server.
The Bottle is another python microframework that is useful for developing APIs. This framework executes everything in a single document and only depends on the Python Standard Library.
Moreover, it also comes with some out-of-the-box features like templating, utilities, and a basic abstraction over the WSGI standard.
The bottle framework has been updated several times since 2009. It has been updated 73 times for better user experience and can be useful for learning the organization of framework, prototyping as well as developing simple personal apps.
The TurboGears is another full-stack open-source python framework. It has incorporated some useful components of other python frameworks. The framework comes with features like multi-database support, MVC-style architecture, pasteScript template, and much more.
Moreover, it also uses robust ORM and components like Genshi, Repoze. SQLAlchemy, and Webb. These components have fastened the process of app development.
The Flask is another micro-framework of python developed under BSD licenses. It depends on the Werkzeug WSGI toolkit and Jinja 2 template. The framework comes with a built-in development server and a debugger and also allows RESTful request dispatching.
Moreover, its lightweight and modular design make it a good choice for developers. Flask is useful for small and easy projects and used by big companies like Linkedin, Pinterest.
The Sanic is a useful asynchronous python framework that is developed on top of the up loop. It runs on Python 3.5+. It is useful to handle fast HTTP responses through asynchronous request handling.
Due to its features like routing, middleware, static files, blueprints, class-based views, and socket, sonic is gaining much popularity among developers.
The Tornado is another asynchronous web framework that is mainly useful for handling a large volume of traffic. Some of its features are- built-in support for user authentication, web templating language, etc. The framework allows third-party authentication and authorization.
Moreover, it uses a non-blocking network I/O and thus helps in solving the C10k issue. Therefore, it is quite helpful for developing a high-performance app.
The Dash is another open-source framework and builds on top of Ploly.JS, React, and flask. It is useful for developing an analytical web application. Moreover, users can develop a dashboard in their browser using the Dash framework. It is a useful framework for data scientists especially for those who are not familiar with web development.
Here, we have listed 10 best python programming frameworks that you should know. Every framework has some distinct features. Choose the right one according to your project. If you are dealing with a large system a full-stack framework will be the right choice. Similarly, while handling a small project, you can use a microframework. Hope you have liked the article and found it useful.