Python has become the language of choice for both professionals and amateurs alike across thousands of fields. From academicians and scientists, to software engineers who just love to code. It is only natural that there is an abundance of web frameworks to choose from if you’re looking to do them all in python.

While there are other popular frameworks such as Pygame and PyQt, here, we would only be looking at web frameworks. Web Frameworks are supposed to provide you with enough resources and tools that make the entire process of web development faster and readily deployable.

The most popular Python frameworks have their best use cases, either in small-scale production or otherwise. Here, we look at the best python frameworks for your project.

1.      Django

Django is probably the most popular choice on this list; although it is very well rivaled by the Flask framework. Django is an open-source project, and it is the go-to framework for developers that value speed just as much as they value efficiency.

Django is being used by a lot of companies an websites that we are familiar with. Some of its features are foundational requirements that most web developers readily need — features such as User authentication, URL routing, RSS feeds, etc.

Other handy features that could catch your attention are its robust security measures, its awesome ORM, and the fact that it is capable of working seamlessly with any databases in popular use.

2.      Flask

Flask is the closest contender to Django, and it commands almost the same share of dedication. Like Django, Flask has a similarly thriving community. Its community is not a major strength; however; it is its flexibility, especially compared with Django.

The awesome strengths of Django have to give in to a degree of rigidity, and you are mostly limited to dang things the ‘Django way.' With Flask, however, you are afforded more control, while still reaping some of the key features offered by Django.

Common features of Flask are Session Management, Authentication, Routing, and an unwavering support for blueprints. Its standout feature would probably be its awesome REST e-support. Flask could be your best bet for bigger deployments, with its top-notch RESTful APIs.

3.      CherryPy

For experienced programmers, CherryPy has been around for years now, and its age is probably one of its biggest strength. The framework has been able to mature seamlessly over time, and its structure is the closest thing to ‘pythonic' on the list.

For all of Flask's raving reviews, CherryPy somehow pips the medal if you're only particular about REST APIs. This means CherryPy could just as well be used in large-scale productions as well as quick prototype. One of its other advantages over Flask is the fact that has an already built-in multi-threaded server, with a single server capable of hosting more than one web application.

Like Flask, it is WSGI compliant and beats other frameworks such as Bottle and Web2Py with its full support for unit testing.

4.      Bottle

Bottle is just as it sounds. Your code is restricted to a single .py file, which of course equals your whole application too no matter how large it is. Bottle’s architecture structure is more ideological than technical, and you shouldn’t expect the structure to change anytime soon.

It also a built-in web server and is in a way similar to Flask. Bottle has no external dependencies (a win-win for a significant number of python programmers) and performs most basic functions that web frameworks are expected to have.

Bottle is perfect for coders who want more control over their application than Flask or CherryPy is willing to give.

5.      TurboGears

TurboGears is the last on our list. It has its own growing user base and is generally respected by experienced developers. TurboGears is perfect for enterprise production and deployment and offers unique features that even Django and Flask do not offer.

While the set up can take the same time, (as TurboGears does not make a lot of assumption), you can sometimes develop web applications faster than other frameworks you are familiar with, since it supports multiple database and multi-database transactions. This means you can easily use packages such as SQLAlchemy and Genshi quite easily.

There are other popular python frameworks such as Tornado, Sanic, and Masonite, which did not make this list. Whichever works for you, be sure you find a grounded community ready to help.

Happy coding!