Frameworks Of Python

Python is a high-level and object-oriented programming language. It is also an interpretive language that can be used to create rapid applications with many existing frameworks.

Frameworks Of Python are a set of a structured code library that helps to develop the web application faster and quicker and more reliable by providing common patterns. It reduces the usage of routine elements for the developer and allows them to focus more on application logic.

We have framed the top ten trending frameworks that are widely used by global developers for web application development in Python language. There are three types of Frameworks available in Python namely Full-Stack, Micro and Asynchronous. Before deciding the framework, the developer should consider the size and complexity of the application. If it is a large project, the full-stack framework is the best choice but in the case of a smaller system, microframework is the sufficient one.

Full Stack Framework

The Full-Stack frameworks include essential elements like form validation, template layouts, and form generators to provide full support to the developer to handle large scale applications.
Some of the Full-Stack Framework of Python in Detail

This framework has a great number of built-in features that are free-to-use and open source for the developers. It is developed by Django Software Foundation and released in July 2005. It is very helpful for the developers to develop complex source code easily and in less time compared to other frameworks.
Django follows the principle of DRY (Don’t Repeat Yourself) and MVT (Model-View-Template) architecture to handle big databases and users.
Django uses ORM (Object-Relational Mapper) for mapping objects to tables of the database. Here the migration of code is simple from one database to another. Django works with the main database such as PostgreSQL, MySQL, SQLite, and Oracle.

Key Features:

  • Plenty of ready-to-use libraries
  • Best URL Routing
  • Template Engine
  • DB Schema Migration
  • Authentication Support
  • ORM Feature
  • Web Server Supports


This is MVC (Model-View-Controller) Pattern framework which supports web developers, web designers, and system administrators to work independently and perform their functions effectively. Giotto has a controller to create applications on top of the web, IRC (Internet Relay Chat) and command line.

Key Features:

  • Automatic URL Routing
  • Functional CRUD (Create, Read, Update and Delete) Patterns
  • Generic Models and Views
  • Multiple Plug-gable Controllers
  • RESTful interface
  • Persistence of Database

Pylon is a framework developed in December 2010 for the rapid development of applications integrated with the best elements and properties of Perl, Ruby, and Python. Pylon has high flexibility in its structure for the web development and promotes reusability and uses WSGI (Web Server Gateway Interface) concept.

  • HTML Form Generation and Form Validation
  • Text-Based template
  • Routes
  • Best URL Mapping
  • URL dispatch

Pyramid :
Pyramid is an open-source and python-based framework for web applications to minimize the complexity of the development. The major benefit of Pyramid framework is that it can be able to work with small and large scale web applications with a multitude of resources as per the requirements.

Key Features:

  • Flexible Authentication and Authorization
  • Predictors and Renders
  • Single file applications
  • URL Generation
  • Template specification

Cubic Web
CubicWeb is an open-source and semantic Python Web framework that is developed by Logilab and it is free-to-use. This is based on the data model to get a functional application. It uses separate models and views with the use of Cube. To create an instance it needs multiple cubes to collaborate with the help of a database, a web server, and some configuration files.

Key Features:

  • Supported by OWL (Web Ontology Language) and RDF (Resource Description Framework)
  • Reusable Components
  • Multiple databases
  • Secured workflows
  • RQL (Relational Query Language) Embedding for simplifying the data related queries


Micro-Frameworks are generally lightweight which does not provide any additional features and functions like form validation, database abstraction layer, specific tools, and libraries.

Some of the Micro-Framework of Python as follows:


The Bottle is developed by Marcel Hellkemp, used to create small web applications and it creates a single source file of every application. Python Standard Library only to be used to create small web applications other than this it has no dependencies.

Bottle helps the developer to focus more on hardware and develop simplistic personal apps, and it is the best solution for understanding the web frameworks and prototyping. And moreover, this is WSGI (Web Server Gateway Interface) based framework.

Key Features:

  • Built-in HTTP Server
  • URL Parameter Support
  • Supports various database’s plug-ins
  • Simple access from cookies, file uploads, and data
  • Adapter support for WSGI/HTTP Server.


CherryPy is an open-source oops based Python Framework developed by Remi Delon which follows the minimalistic approach. It can run on any OS and it has its multi-threaded web server. It does not need the Apache server for CherryPy apps.

CherryPy Apps is used to various types of technology for data access and templating and so on.

Key Features:

  • Powerful configuration system
  • Flexible built-in plugin system
  • It can be run on android
  • Supports testing, profiling, and coverage by default
  • Run different HTTP servers simultaneously


Dash is the best micro-framework specially used for developing analytical web applications. It is the most helpful tool for novice developers on data scientists application development.

Web applications developed with Dash framework are the web servers that run Flask and integrate with JSON packets through HTTP requests using with ReactJS and it has the extended capabilities.
Key Features:

  • Error handling is done with DDS (Dash Deployment Server)
  • High-degree of customization
  • LDAP Integration with DDS
  • Best support of Plugins
  • URL Routing with DDS

Asynchronous Framework

The asynchronous framework provides the feature to handle a large set of concurrent connections in a single time and it is built especially for Python developers to use the asyncio library of the programming language.

Some of the Asynchronous Framework of Python explained here


Tornado is an open-source python framework developed for a company called Friend Feed later it is taken over by Facebook in 2009. It is an asynchronous network library and it uses the non-blocking network I/O devices to solve the C10K issue which means it can handle more than 10000 concurrent connections at a single time.

Key Features:

  • Performs with high-quality output
  • Supports User Authentication
  • Web Templating based on python
  • Non-Blocking HTTP Client service
  • Localization and Translation support
  • Real-Time Services

Sanic is a simple open-source framework of python to provide fast HTTP responses through asynchronous request handling to make more compatible with async/await functions of Python 3.5 for enhancing the speed. The fast and potential of Sanic is proved by processing 33,342 requests at a time.

Key Features:

  • It can able to read and write cookies
  • Allows various types of logging like access log and error log
    Plugin support
  • Views are class-based
  • Supports blueprints for sub-routing inside the applications

Final Note:

All of the above-mentioned frameworks are helpful for python web service developers according to the coding style and preferences and the size of the application. By choosing the right framework provides the best result on the successful project.