python frameworks

Python frameworks are sets of modules and packages that facilitate the quick and easy creation of web applications and services by developers. In this blog, learn about the most well-liked and in-demand Python frameworks with this post. So, let’s get started with the Python frameworks list!

Python is a popular choice for web technologies because of its standard library collection and simple learning curve for coding syntax. Hence, it serves as the primary programming language for well-known companies like Google, Spotify, and Pinterest


What are Frameworks in Python

Python is a very popular and versatile programming language that contains a large number of libraries for development in different domains.

Python Frameworks help developers develop complex applications easily because of the large number of tools and methods that are already available in the Python Frameworks. 

Each Python Framework comes with predefined collections of methods and modules that reduce development time. 

There are different types of frameworks in Python, like Python frameworks for web development and Python frameworks for data science; some of the best Python frameworks are micro or asynchronous Python frameworks, GUI frameworks, Testing frameworks, Data Science frameworks, Game Development frameworks, API Development frameworks, Network Programming frameworks, and Automation and testing frameworks.

Similar Read : Difference between Frameworks and Library

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Types of Python Frameworks

  1. Full Stack Development
  2. Asynchronous Framework
  3. Micro Framework

1.) Full Stack Framework

A full stack framework is a type of Python framework that contains all the modules and tools that are required to create the complete applications, including frontend, backend, template, form validations, and much more.

2.) Asynchronous Framework

An asynchronous Framework consists of an asyncio library to run several processes simultaneously. Asynchronous frameworks can handle large simultaneous connections. 

3.) Micro Framework

A “micro framework” in web development is like a simple toolbox for creating websites. It’s designed to be easy to use and not too complicated. These frameworks give you the basic tools you need to build a website without adding a bunch of extra stuff that you might not need. They’re great for smaller projects where keeping things simple is important. Two examples of micro frameworks in Python are Flask and Bottle.


Python Frameworks List 2024

  1. Django
  2. Bottle
  3. Web2Py
  4. Flask 
  5. CherryPy
  6. Dash
  7. Falcon
  8. Giotto
  9. Growler
  10. TurboGears


1.) Django

Django is an open-source framework used for building web applications using Python. Moreover, it is based on Model-View-Controller architecture and provides a large number of tools and modules to develop web applications quickly and efficiently.


  • In building the admin interface
  • High Security
  • URL Routing
  • In building an Authentication and Authorisation system
  • Provides Testing Support


  • Easy to Develop and maintain web applications
  • Large & active community
  • Use to build scalable systems


  • Not suitable for small projects
  • Can not handle a large number of requests at the same time


2.) Bottle

It’s a lightweight Python framework used to develop small applications. Bottle is used to develop APIs. It is a type of micro-framework that creates a single source file.


  • Having single source file
  • Routing 
  • Built-in server
  • Plugin support for database
  • It offers a built-in HTTP server


  • Lightweight framework
  • Easy to develop and maintain
  • Multiple database integration


  • Only suitable for small projects


3.) Web2py

Web2py is an open-source Python framework that is used to develop full-stack applications. We can develop scalable applications using the web2py framework. Additionally, Web2py has a web-based IDE that has all the features like a debugger, one-click deployment as well as code editor, which makes the development of web applications much easier.

Features of Web2py

  • Cross-platform compatibility
  • Built In Web Based IDE
  • Based on Model-View-Controller Architecture
  • Support Restful APIs
  • No need to Install
  • Automatic CRUD interface

Advantage of Web2py

  • Easy to develop and maintain web applications
  • One Click Deploy
  • Data security
  • No prerequisites for installation and configuration

Disadvantage of Web2py

  • Do not have Python 3 support
  • Difficult to load Data Models


4.) Flask

Flask is a lightweight, flexible microweb framework. It is used to develop small applications. Flask is designed to be easy to use as well as has the basic tools needed to build a website without adding a bunch of extra stuff that you might not need.

Features of Flask

  • Lightweight Framework
  • Routing
  • RESTful Request Handling
  • Built-In Development Server
  • Template Engine 
  • Support for secure connections

Advantage of Flask

  • Provide Complete Documentation
  • Easy to develop and maintain web applications
  • User Friendly

Disadvantage of Flask

  • Not suitable for large web applications
  • Lack of Database
  • Complex Maintenance for large applications


5.) CherryPy

Cherrypy is an open-source Python framework used to develop web applications.

Features of CherryPy

  • Flexible plugin system
  • Powerful Configuration System
  • Support multiple separate HTTP Servers
  • In-built Testing and profiling support

Advantages of CherryPy

  • Simple to use
  • Community Support
  • Provide different tools for web applications

Disadvantage of CherryPy

  • Lack of Comprehensive Documentation


6.) Dash

Dash is an open-source framework for building interactive web applications using Python and was developed by Plotly. It is used by data scientists, analysts, as well as developers to develop web-based interactive dashboards without using complex coding algorithms.


  • Component-Based Architecture
  • Declarative Syntax
  • Plotly Integration
  • Cross Platform Compatibility
  • Data Visualisation 
  • Dynamic Content Updates
  • Integration with Jupyter Notebook
  • Community and Documentation


  • Easy to develop web applications
  • Useful for data visualization


7.) Falcon

Falcon is a lightweight and fast framework in Python for creating web services, especially APIs. It’s focused on making it easy to build these services quickly and efficiently. Falcon is known for being lightweight. Falcon is a good choice when you want to create web APIs without dealing with extra features you might not need.

Features of Falcon

  • Lightweight Design
  • RESTful architecture
  • High Performance
  • Simple and Easy to use
  • Active Community
  • Easy request and response handling

Advantages of Falcon

  • Much faster as compared to a few other frameworks 
  • Best framework for microservice architecture 
  • Have Minimalistic Design

Disadvantage of Falcon

  • A limited number of features
  • Smaller Community


8.) Giotto

Giotto is an open-source Python framework that is based on model view controller architecture. It is unique because it has different controller modules. These modules let people build applications for various places, such as the web, Internet Relay Chat (IRC), and the command line.

Features of Giotto

  • Based on Model-View-Controller 
  • Controller Models
  • Open Source and Scalable
  • Integrated Development Environment

Disadvantage of Giotto

  • Does not have Python -3 compatibility
  • Learning Curve


9.) Turbogears

TurboGears is an open-source web application framework for the Python programming language. It is a modular, easy-to-use framework. Moreover, it has multiple tools and modules that make development much easier. Also, TurboGears is based on model-view-controller architecture.


  • Based on Model-View-Controller Architecture
  • Data validation and Form handling
  • RESTful API Support
  • Ajax Support
  • Built-in ORM (Object Relational Mapping)


  • Easy to use


  • Complete documentation is not available
  • Framework extension is very complicated


10.) Growlers

Growler is a Python framework that is used for web development. Growler is built on the Python asyncio library. Additionally, this framework manages the request by passing it through middleware technology.

Features of Growlers

  • Clean and reusable code
  • Zipped into a single executable file

Disadvantage of Growlers

  • Learning Curve
  • Unconventional Handling



Despite the fact that there are several well-liked and in-demand Python frameworks, each has pros and cons of its own. Moreover, the needs of the project and the developer’s familiarity with the framework play a major role in selecting a Python framework.

However, if you’re seeking to learn about the variety of Python frameworks and are looking for the finest source, Kochiva is the ideal option for you. At Kochiva, students get the best assistance possible in comprehending cutting-edge technology as well as accomplishing real-world assignments.

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