Top Python Framework's

Top Python Framework’s

Last updated on 22nd Sep 2020, Artciles, Blog

About author

Ramesh (Sr Technical Project Manager - Python )

He is Highly Experienced in Respective Technical Domain with 6+ Years, Also He is a Respective Technical Trainer for Past 3 Years & Share's This Important Articles For us.

(5.0) | 13476 Ratings 685

Frameworks In Python

A framework is a collection of modules or packages which helps in writing web applications. While working on frameworks in python we don’t have to worry about the low level details such as protocols, sockets or thread management.

Frameworks automate the common implementation of common solutions which gives the flexibility to the users to focus on the application logic instead of the basic routine processes.

Frameworks make the life of web developers easier by giving them a structure for app development. They provide common patterns in a web application that are fast, reliable and easily maintainable.

Let’s take a look at a few operations involved in a web application using a web framework:

Subscribe For Free Demo

Error: Contact form not found.

  • Url Routing – Routing is the mechanism of mapping the URL directly to the code that creates the web page.
  • Input form handling and validation – Suppose you have a form which takes some input, the idea is to validate the data and then save it.
  • Output formats with template engine – A template engine allows the developers to generate desired content types like HTML, XML, JSON.
  • Database connection – Database connection configuration and persistent data manipulation through an ORM. 
  • Web security – Frameworks give web security against cross-site request forgery aka CSRF, sql injection, cross-site scripting and other common malicious attacks.
  • Session storage and retrieval – Data stored in the session storage gets cleared when the page session ends.

Why Use A Framework?

Frameworks make it easier to reuse the code for common HTTP operations. They structure the projects in a way so that the other developers with the knowledge of the framework can easily maintain and build the application.

Top 5 Frameworks In Python

Depending upon the sort of functionalities and key features they provide to the user, these are the top 5 frameworks in python, both micro-frameworks and full-stack frameworks.

    1. 1.Django
    2. 2.Web2Py
    3. 3.Flask
    4. 4.Bottle
    5. 5.CherryPy


Django is a free and open-source full-stack python framework, it includes all the necessary features by default.

It follows the DRY principle, which says don’t repeat yourselves. Django uses its ORM mappers to map objects to database tables. An ORM or object relational mapper is a code library which helps you manipulate the data from a database using the object-oriented paradigm.

The main databases that django works on are PostgreSQL, MySQL, SQLite, Oracle. It can also work with other databases using the third party drivers.

Following are the features of Django framework:

  • Authentication
  • URL routing
  • Template engine
  • ORM
  • Database Schema migrations

Django also follows MVC-MVT architecture,

MVC-MVT architecture:

MVT is slightly different from MVC, Although Django takes care of the controller part which is the code that controls the interactions between the model and the view. The template is a HTML file mixed with Django template language.

Developer provides the model, view and template. User then maps it to the url and then the rest is done by django to serve it to the user.


Web2Py is open source, scalable and a full-stack framework . It does not support python 3 and comes with its own web based IDE which also includes a separate code editor, debugger and one click deployment.

Following are the features of Web2Py framework:

  • It does not have any prerequisites for installation and configuration
  • It has the ability to run on different platforms. Example- windows, mac, linux etc.
  • Comes with an ability to read multiple protocols
  • Web2Py provides data security against vulnerabilities like cross site scripting, sql injection and other malicious attacks.
  • It has an error tracking mechanism through an error logging and ticketing system.
  • Also has role based access control
  • There is backward compatibility which ensures user oriented advancement without the need to lose any ties with earlier versions.


Flask is a micro-framework. It is lightweight and its modular design makes it easily adaptable to developer’s needs.

Following are the features of Flask Framework:

  • Built-in development server 
  • A fast debugger
  • Integrated support for unit testing
  • RESTful request dispatching
  • Jinja2 templating
  • Secure cookies support
  • Unicode-based
  • WSGI compliance
  • Ability to plug any ORM
  • HTTP request handling  


Bottle is a micro-framework which is originally meant for building APIs , the bottle implements everything in a single source file. It has no dependencies whatsoever apart from the python standard library.

Following are the features of Bottle Framework:

  • Routing 
  • Templating
  • Access to form data, file uploads, cookies, headers etc.
  • Abstraction layer over the WSGI standard
  • A built-in development server that supports any other WSGI-capable HTTP server.

Bottle is perfect for building simple personal applications, prototyping and learning the organisation of web frameworks. 


CherryPy is an open-source framework. It follows the minimalist approach in building web applications. It makes building web applications similar to writing an object oriented program.

CherryPy allows us to use any type of technology for creating templates and data access. It is still able to handle sessions, cookies, statics, file uploads and everything else a web framework typically can.

Python Sample Resumes! Download & Edit, Get Noticed by Top Employers! Download

Following are the features of CherryPy framework:

  • An HTTP WSGI compliant thread pooled web server
  • It has simplicity of running multiple HTTP servers at once
  • A flexible plugin system
  • Caching
  • Encoding
  • Authentication
  • Built-in support for profiling, coverage and testing
  • Ability to run on different platforms

Advantages Of Frameworks

    1. 1.Open-source
    2. 2.Good documentation
    3. 3.Efficient
    4. 4.Secure
    5. 5.Integration

Are you looking training with Right Jobs?

Contact Us

Popular Courses