What do Python programmers need to make their life easier? The answer is frameworks. By automating the implementation of redundant tasks, frameworks cut development time and enable developers to focus greatly on application logic rather than routine elements.
Because it is one of the leading programming languages, there is no scarcity of frameworks for Python. Different frameworks have their own set of advantages and issues. Hence, the selection needs to be made on the basis of project requirements and developer preference.
- AIOHTTP- AIOHTTP is a Python framework that relies heavily on Python 3.5+ features, such as async & awaits. The Python framework makes use of Python’s asyncio library, and is hence an asynchronous framework. In addition to being a server web framework, AIOHTTP can also serve as a client framework. It provides a request object and router to enable the redirection of queries to functions developed to handle the same.
- Bottle- Bottle creates a single source file for every application developed using it. The microframework for Python was originally developed for building APIs. Other than the Python Standard Library, Bottle has no dependencies required for crafting small web applications. One of the most important advantages of using Bottle is that it allows developers to work closer to the hardware. In addition to building simplistic personal-use apps, Bottle is an apt fit for learning the organization of web frameworks and prototyping.
- Cherry Py - CherryPy is a popular open-source, object-oriented Python framework that follows a minimalistic approach. The micro-framework is one of the oldest Python frameworks, debuting in June of 2002.Any CherryPy-powered web application is a standalone Python application with its own embedded multi-threaded web server and runs on any OS with support for Python. Such an app can be deployed anywhere an ordinary Python app is able to run.
- CubicWeb - Developed and curated by Logilab, CubicWeb is a free-to-use, semantic, open-source, Python-based web framework. Based on the data model, CubicWeb requires to have the same defined in order to develop a functional application.Unlike other popular Python frameworks that use separate views and models, CubicWeb makes use of cube. Multiple cubes are then joined together for creating an instance with the help of a database, a web server, and some configuration files.
- Django - Django is one of the most beloved web development frameworks for developing Python applications. In fact, it ended up being one of the top 10 web development frameworks of 2020. Django framework follows the DRY (Don’t Repeat Yourself) principle. Unlike others, the free-to-use and open-source full-stack Python framework includes a grand number of built-in features rather than offering them as individual libraries. Django makes use of its ORM for mapping objects to database tables.
- Falcon - Aimed at rapidly building web APIs, Falcon is another widely used Python framework. Unlike other Python frameworks that require loading a lot of dependencies for building HTTP APIs, Falcon allows developers to build a cleaner design that enables HTTP and REST architectures.As per the benchmark test conducted by Sanic, Falcon is able to handle most requests with the same hardware than all its contemporaries. The Python framework aims to have 100% code coverage. Falcon is used by big players like LinkedIn, OpenStack, and RackSpace.
- Flask - Available under the BSD license, Flask is another popular Python framework. Inspired by the Sinatra Ruby framework, the microframework requires Jinja2 template and Werkzeug WSGI toolkit. Thanks to its lightweight and modular design, Flask is readily adaptable. Flask allows the developers to build a solid web application foundation from where it is possible to use any kind of extensions required. The micro-framework is compatible with Google App Engine.
In order to appreciate all (or most) of the above mentioned Python frameworks, you need to have at least intermediate competency in the high-level, interpreted programming language. If not, then here are the top 10 best Python books to step up your game.
Which one(s) of the Python frameworks should or shouldn’t have made it to the list? Which is your favourite Python framework? Let us know via comments.