Top 5 Python Frameworks to Choose in 2022
According to PYPL Popularity of Programming Language Index Python grew the most in the last 5 years and now has a market share of 31.47 %.
Wondering, what is the best Python framework to choose in 2022? Learn about some of the full-stack/micro frameworks best-suited for your next project.
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Python is a free, open-source, and powerful programming language that is increasingly becoming popular. It can seamlessly run on multiple platforms such as macOS, Windows, and Linux. The PYPL Popularity of Programming Language Index analyzes the most searched programming language tutorials on Google and according to their recent survey in November 2021, Python grew the most in the last 5 years and now has a market share of 31.47%, with Java at 19.14%.
Python offers a handful of frameworks for developing intuitive, simple, and versatile web-based applications. On the other hand, this language is exceedingly preferred by data scientists and developers working with technologies such as Machine Learning, AI, Data Mining, and Big Data. Netflix, Dropbox, Youtube, Instagram, Quora, Spotify, Reddit are some of the most popular and biggest platforms that depend on Python to manage the huge influx of traffic and user requests every day.
Now you must be wondering: what is the best Python framework? In this blog, we will learn about some of the top python frameworks. But at the end of the day, you must consider, or choose the python developer framework that offers a clear syntax and code structure to your development team including cross-site scripting, file execution, and SQL injection flaws, and the MVC designing process.
Most Common Features of Python
- Python is super easy to learn in comparison to other languages
- It is a high-level interpreted language
- It supports code reusability
- Implementation is easier
- Good documentation with efficient operations
- Object-oriented programming language, portable and interactive
- Both integrated and third-party modules are available to support the development of projects
- Libraries are extensive which eliminates the need for coding from the ground up
- Highly-portable code without any limitation to the operating system
- Huge, and inclusive community support
- It’s a visible part of the LAMPstack – which comes with its own benefits
- A handful of frameworks and tools are available to support your development needs such as Django, Flask, Pyramid, etc.
- Integration with other programming languages such as CPython
Top Python Frameworks
Python frameworks are divided into full-stack and microframeworks. Full-stack frameworks are considerably important if you want to build large-scale applications, whereas, on the other hand, micro-frameworks are most suited for small-scale and simpler projects with less complex requirements.
If you are familiar with web and app development, I am sure you have heard about the Django development framework many times. It is considered one of the best full-stack python frameworks and favored by the developer community for building quality and large-scale web applications and APIs.
It has an amazing collection of libraries and packages. Django-allauth, Celery, Django-compressor, Django-extensions, etc. are some of the packages that can help you jumpstart your development. Django has a variety of in-built features, and database support such as MySQL, SQLite, PostgreSQL, and Oracle, to name a few. Additionally, it follows the model-view-controller (MVC) architecture.
Sometimes, developers find it difficult to choose between Django vs Angular – even though angular has its own set of features yet if you prefer python – Django is the right choice.
Key Features of Django
- URL routing features makes the framework useful for SEO
- Offers the excellent documentation, and is getting better since 2015, the year it became open-source
- Django is highly scalable
- Suitable for large scale projects
- Versatile functioning and offers higher security for XSS and CSRF prevention
- Extensive support, libraries, and ready to use components
- Stable release
- Migrations can be automatically applied
- Fast development with high app performance
Pyramid is yet another full-stack python framework. Like Django, it is also open-source. Many developers would agree that Pyramid kind of completes the framework of Python. Whether you are looking to develop simple, straightforward applications or complex, Pyramid offers amazing support, and a range of libraries to effortlessly build intuitive products.
Plus, some of the most loved features that Pyramid offers are its extensibility, transparency, function decorator, single file suits including rendered and flexible authorizations. The most recent version of the pyramid framework is 1.10 (the latest update since 2010).
Popular tech giants like Mozilla, Yelp, Dropbox, and SurveyMonkey are built using the pyramid framework.
Key Features of Pyramid
- Compatible for both small and large scale projects/ apps
- Ability to execute tasks with less difficulty
- Uses external libraries for database operations and templates
- URL generation
- Extensible configuration
- Asset specifications
- A wide array of templating options
- Function decorators, predictors, renderers
- Valuable for building CMS(s) and for prototyping
- Extensive data documentation, and support
Next up, we have Flask – yet another leading and the best python microframework for website development. Like other Python popular frameworks, flask is simple, easy to learn, and understand. But one of its specialties lies in the array of extensions that it has to offer among other things. Many developers prefer using this framework for its efficient HTTP request processing.
Unlike Pyramid, Flask is best suited for small-scale projects that are easy to handle but on the contrary, some of the big tech giants like Linked-in and Pinterest have been using this Python framework.
Now many would debate between Django vs Flask. Even though these are the two of the most popular Python frameworks according to the Python Developers Survey 2020 by JetBrains. Both frameworks have their pros and cons. At the end of the day, it totally depends on the needs and requirements of your product for example if you are looking for extensive community support, and faster development – Django is the best bet. Otherwise, Flask is known for its flexibility and extensibility features.
Key Features of Flask
- Specifically designed for open-ended applications
- In-built server development and unit testing
- Offers instant deployment
- Takes after the Sinatra Ruby framework
- Makes use of Werkzeug WSGI toolbox and Jinja2 templating
- RESTful request dispatching
CherryPy is also an open-source web framework. The main reason why the developer community prefers this framework is because of its ability to run on all Python-compatible operating systems such as Windows, Mac, and Linux, or Unix.
CherryPy supports quick development, is stable and reliable to the core. Plus it also presents controller modules to make things easier for developers when it comes to data access, file uploads, or session handling. The main advantage of using the CherryPy framework is that it can simultaneously run multiple HTTP web servers.
Key Features of CherryPy
- Microframework – Python
- A robust configuration and installation system
- Built-in testing support, encoding, authentication, caching etc.
- Faster turnaround time
- HTTP/1.1-compliant and HTTP server support
- Ability to run multiple servers at the same time
- Flexible plug-ins
- Compatible with Python 2.7+, 3.5+, PyPy, Jython, and Android
Last but not least, we have Bottle (python’s microframework). Some developers prefer Bottle over Flask because it is much simpler with a clear purpose. It is ideal for small-scale web applications. This framework consists of a single file, that has everything you require to develop reliable web applications. On the contrary, Bottle does have its limitations when it comes to building large-scale applications in which the code is more than 1000 lines. Plus it is perfect for quick prototyping.
Key Features of Bottle
- Extensive documentation
- Easy to integrate with other libraries
- Great for building RESTful APIs
- Fast prototyping
- It has a simplified syntax and is light
- Dynamic URL routes
- Built-in template engine and backing
- Uses HTTP server
- Apps built using this framework are high performing and optimized
There are a plethora of Python web application frameworks available out there. Everyone with their own distinctive characteristics. But the preferences and choices change every year which solely depends on the project requirements, coding style, time, and cost. So, which one of the above-mentioned python web frameworks will you be choosing in 2022?