Top 10 Python Frameworks


A web framework or a library is one that helps make the developer’s life easy with the whole process of development. Most of these frameworks are nothing but the soar experiences that once few of the developers had to take in the process of development which has now put into the shape of a framework. Most of the developers with their eyes closed would like to choose Django as their first choice for application development with Python – because of its killer features as like the automatic database generation and etc. But the point is not just that but to learn and understand what the other frameworks have to offer and how would these come to rescue in any of our business application development.

With that context, let us go through the following Python frameworks and understand what they have to offer and why one should opt to work with these frameworks.

1. Django:

Django is a Python web framework (written purely in Python) which enables individuals in clean and rapid development. A web framework in general terms is said to be an amalgam of components that help developers develop websites quicker and easier. Having said that, it is a free and an open source framework. It can be termed as a framework which enables developers to take a concept to completion as quickly as possible. Django as a framework helps to mitigate some of the common security mistakes that can be overseen easily while developing applications. Scalability is yet another feature provided by this framework.

2. Flask:

Next on our list of Python frameworks is Flask, which is a microframework for Python based on technologies like Werkzeug, Jinja 2. Flask basically is Python web framework that is built with a small core and further an easy to extend extension. Flask is more Python oriented than Django because of some obvious reasons. As there is very much little boilerplate code that a developer has to deal with, Flask is a web framework that developers might not have to dwell longer for their understanding. Many of the famous applications out there are written in Flask framework as like Pinterest, LinkedIn and the community webpage for Flask itself.

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3. Tornado:

As discussed earlier, a framework can be put together as a collection of programs which can be used to control the whole structure code which in turn can build a bigger system. With this, we can develop a simpler website using the bare minimum like HTML, CSS, and Python etc. When bigger and complex projects are considered, it gets tougher and costlier to get things within shorter spans of deadlines – hence a web framework as like Tornado comes in handy. Web frameworks like Tornado basically provide some features which are essential to any kind of application that can be developed with it, such as Database support, URL handling, HTML templates etc.

Tornado is one of the best Web frameworks of the Python programming language. This framework enables a cleaner approach to Web server programming and has a keen focus on non-blocking operations, can scale to an enormous number of open connections.

4. Falcon:

Next, on our list of Python-based web development, we have Falcon which is a WSGI library helps in building web APIs at a quicker speed. When you building HTTP APIs frameworks other than Falcon can heavily load lots of dependencies and not needed abstractions. Falcon, on the other hand, cuts down all such dependencies and provides a developer to develop a cleaner design enabling HTTP and REST architectural style. Falcon claims that it can handle more requests with the same hardware if it were being handled by other frameworks. The framework aims to have 100% code coverage, hence making it more reliable. Most of the above features are all possible because Falcon maintains just 2 third-party dependencies like six, mimeparse. As per Falcon’s Github page companies like RackSpace, OpenStack and LinkedIn use Falcon.

5. Hug:

Hug, yet another Python-based web framework provides the developers with the flexibility of developing your API once and lets you and your client able to consume it however they want to. The API development has been simplified drastically over multiple interfaces. Let it be local development or over HTTP or even through command line interface (CLI), it is by far the fastest modern way of developing your APIs. The framework Hug has been built ground up with a sole focus on performance in mind. It is said to consume resources only when necessary and is further compiled using Cython to achieve these amazing figures on performance. With all these obvious reasons, Hug steals the crown as the fastest web framework for Python 3.

Related Page: Python For Beginners – Way To Success

6. Sanic:

Sanic is a Python web framework (suits for Python 3.5) built on top of uvloop and designed for quicker HTTP responses via asynchronous request handling. Because of its internal structure and its hard dependency on uvloop, it cannot be developed or deployed on Windows environment. As on date, Sanic is still under development stage and is considered an infant amongst the other web frameworks available for Python. By this, there is a good amount of code that has been written around Sanic itself for you to work along with it for a complex business requirement. Given that it is still under development, there are not many applications or extensions for Sanic as compared to Flask or Django. Given all that, this framework allows you to take advantage of the async / await syntax to define your own asynchronous functions. This gives the power of writing asynchronous applications as like as what can be achieved by using Node.js

7. aiohttp:

Next, in the line of top 20 Python frameworks, aiohttp comes next which is an asynchronous web framework that heavily relies on and uses Python 3.5+ features as like async & awaits. The framework is not just a server web framework but also acts as a client framework as well, as it supports both WebSocket Server and the Client. It is a famous framework that has made use of popular asynchronous library – asyncio which was there since the initial days of the library. aiohttp just like Flask provides a request object and router to enable the redirection of queries to functions that are developed to handle them. As a microservice developer, you can just focus on building your views as you would do with Flask.

8. Pyramid:

Next comes the framework that has been developed or built for the larger applications. Pyramid, the name itself suggests that it is flexible, unlike Django which boasts its “everything in the box” approach. Web applications built using Pyramid, starting from the single file module and then these projects evolve into bigger and ambitious projects within no time. The downside to this web framework is their own documentation, which is not very clear and can be confusing at times. Pyramid Chameleon is installed to make use of the Chameleon templates instead of the Jinja templates. It takes some time in developing a single file application with Pyramid though later on, these can be scaled faster as the initial setup is tougher and error-prone.

9. Growler:

Next on the list is Growler, which is similar to aiohttp which is also built on top of aysncio,  it is based on connecting and express frameworks for Node.js, Object Relational Mapping (ORM), and Templating etc. The requests in Growler are handled not in the framework but by passing through middleware technology. It is the best choice amongst the available frameworks which provides easier ways to implement complex applications.

10. CherryPy:

CherryPy which is the next framework on the list, which is used to be the way between the problem and the programmer. Web applications built using the CherryPy framework looks just like any other Python application and runs without providing the very best complicated setup and customization. Along with that, it also extends its support to various kinds of web servers like Apache, IIS and many more. Having said that, CherryPy packs along with it a web server, so the applications can be deployed anywhere the Python is installed. It also allows you to start multiple HTTP servers at once as well. There is no compulsion imposed by CherryPy to use any certain template engine, ORM or JavaScript library and hence we as developers have the choice to choose what suits our requirements better.

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