What is a Python Framework? 10 Python Frameworks to Use

Every coder follows some kind of framework when writing code. These frameworks make it possible to develop by speeding up repetitious operations. Developers can focus more on the application logic by putting less emphasis on low-level details like protocols, connections, or process management.

In this blog, we shall discuss the use of python and the python frameworks list in detail, which will help you choose the right framework for your development processes. 

What are Frameworks in Python?

One of the most widely used and effective programming languages, Python provides a plethora of frameworks and libraries for almost every specialized field. Python frameworks help automate the implementation of numerous tasks and provide programmers with a framework for creating applications. 

Each framework comes with a unique set of modules that significantly reduce the time required for the development. Full-stack, micro, or asynchronous Python frameworks are the three possible types. Let’s quickly describe the different frameworks before delving into the popular Python frameworks in more detail.

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Types of python frameworks list

Full-stack Framework

If you are willing to get into the web development field, then you must have an in-depth understanding of full-stack frameworks as a web developer. These frameworks will have in-built features such as generators, form validation, design templates and many others. 

Micro Framework

It is also a web-based framework used to develop the app, but the developer required comparative manual effort to develop the application using this. Moreover, it has a less in-built feature that comes with full-stack frameworks.

Asynchronous Framework

Asynchronous frameworks utilize the asyncio library to handle several functions concurrently. They can manage numerous concurrent connections.

Use of python Framework

There are several frameworks in the python programming language, but few frameworks are redundant in web development. The developer mainly uses the python frameworks to reuse code for HyperText Transfer Protocol operations in web development. If the developer has in-depth knowledge of any particular framework, they can efficiently utilize it for building and maintaining their web applications. The advantage of python frameworks are listed below:

  • Help in documenting
  • Simple to implement
  • Provide operational efficiency
  • Python frameworks are secure to use
  • Open-source
  • Reusability of code
  • Easy to integrate

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Library vs Framework

  • Libraries in Python have a collection of functions which helps the user to perform operations and eliminate the requirement for writing codes from scratch.
  • On the other hand, python frameworks have the application’s basic flow and architecture. 
  • With the aid of libraries, the developer can write the code whenever needed, but further functionality can be operated only with the frameworks. 
  • Frameworks provide flexibility
  • Frameworks provide numerous tools and features that help the developers to build the application efficiently.   

Top 10 Frameworks In Python

Python has various types of frameworks used for multiple development platforms, but among numerous frameworks, we shall discuss the few that are crucial among the developer and programmer. 


Django is the most popular full-stack Python framework, which is open source and has in-built features used in various development processes. This framework has the Don’t Repeat Yourself principle and uses an object-relational mapper to fix objects to database tables. 

This makes it easier for you to manipulate database data using the object-oriented framework. Django primarily uses Oracle, MySQL, PostgreSQL, and SQLite as its backend databases. With the aid of third-party operators, it can also operate on other databases. Here are a few more outstanding Django web framework characteristics:

  • Uniform Resource Locator routing
  • Authentication
  • Engine for templates
  • Data migrations for databases
  • Multiple readily available libraries
  • More secure than alternative frameworks


Another popular full-stack, open-source Python framework is Web2Py. 

Because it is platform-independent, it can perform on all widely used operating systems. Additionally, it streamlines the creation of web applications with the help of a web-based integrated development environment (IDE) that features a code editor, debug, and one-click implementation. The Web2Py framework also has the following features:

  • The Web2Py framework does not require a prerequisite for deploying and installing. 
  • It has the capability to read numerous protocols. 
  • It has the ability to support various platforms
  • It provides high-level data security
  • It has regular error monitoring or tracking process
  • Role-based access control
  • Backward integration


Python’s micro-framework is called Flask. It is portable and simple to modify to a developer’s specifications. The Werzeug WSGI toolkit and Jinja2 templates are prerequisites for the Flask framework, which is released under the BSD licence. The Flask framework has the following key components, to name:

  • The developer utilizes this flask framework for various development processes because it has a quick troubleshooting capability.
  • It has a Jinja2 template.
  • It is based on Unicode.
  • It is an in-builtin development server.
  • HyperText Transfer Protocol request handling  
  • Web Server Gateway Interface compliance
  • Support for integrated unit testing 
  • Send RESTful requests
  • Supports secure cookies
  • Being able to plug any ORM


The bottle is a micro-framework for creating basic personal apps and prototyping. It is recognized by programmers as one of the best Python web frameworks and was initially planned for the building projects of APIs. 

Additionally, it enables the development of small, streamlined personal-use apps by developers working closely with the hardware. 

The Bottle framework has the following key components:

  • An integrated development server
  • Access to file uploads, cookies, headers, and form data, among other things.
  • Support plugins for various databases.
  • Routing
  • Templating
  • A layer of abstraction over the Web Server Gateway Interface.


CherryPy, an open-source Python framework, uses a simple and direct layout to build web applications. It was released in 2002 and is one of the best early Python frameworks still used today. 

Unlike some other frameworks, CherryPy can be used without the Apache server being installed. Using CherryPy, you can create web applications as you would an object-oriented programme. This framework’s best feature is the ability to retrieve data and build templates using any technology. The following are additional advantages of using the CherryPy framework:

  • It has a plugin system
  • It is flexible
  • Authentication
  • It has in-build high-level features which support testing
  • It has the capability of running on various platforms.
  • It makes it easier to run several HyperText Transfer Protocol servers at once.
  • Encoding


The description of a full-stack framework applies to CubicWeb. It is also a free and open-source semantic web application framework. The reliability, reusability, and effectiveness of the development solution are the three main focuses of CubicWeb. It is a well-structured Python semantic web application framework. The following are additional advantages of using the CubicWeb framework:

  • CubicWeb is challenging to learn, unlike other Python web frameworks and stands out.
  • It positions itself as a semantic web development framework
  • It allows programmers to create web applications by adhering to well-known cube-based design principles.


AIOHTTP is an asynchronous framework and a HyperText Transfer Protocol client/server for asyncio. The general idea behind AIOHTTP is that it enables your developers to create asynchronous clients and servers for your web application, even though some of these terms might sound unfamiliar.

  • AIOHTTP supports both the Client and HyperText Transfer Protocol Server.
  • Provide support for Client WebSockets and Server WebSockets server without Callback Hell.
  • Web server has Middlewares, Signals and pluggable routing.


What Is Dash?

Dash is an open-source framework for creating interfaces for data visualization. Since 2017, it has expanded to include R and Julia implementations. With the aid of Dash, data scientists can easily create analytical web applications.

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Three technologies comprise the core of Dash:

  • Flask offers web server features.
  • React js creates the web page’s user interface.
  • The charts produced by Plotly.js are used in your application.
  • It provides plugin support.
  • It operates on Dash Development Server.
  • Help in handling the error issues
  • Dash apps are made with less code.


It is a complete framework built on the Model View Controller architecture. MVC is detached in the priority order by the application framework Giotto. It offers fundamental features like automatic URL routing and Jinja2 for HTML templates with a RESTful API and an open interface.

Additionally, it includes the controller module, which gives programmers a platform for making apps that use the command line and Internet Relay charts (IRC).

Key Features of Giotto

  • Automatic URL routing
  • It has numerous pluggable controllers.
  • It has Jinja2 for HTML templates.
  • Database support with SQLAlchemy.


We must recognize that it is one of the latest Python web frameworks on the market. It is regarded as a replacement for the asyncio event loop and can therefore be used in existing applications or applications that are asyncio-based. Some developers say Uvloop is twice as quick as Node JS, events, and any Python asynchronous framework.

Now that you have understood the use of Python, python frameworks list and python web development framework. So, to learn more about the python frameworks and its uses, you can join Python Training in Bangalore and learn use of python, python frameworks list,  List, Ranges & Tuples in Python, Python Dictionaries and Sets and  Input And Output in Python.

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