Top 15 Python Frameworks To Choose

The top Python frameworks like Django, Pyramid, Flask, CherryPy, etc are well known to lay the robust foundation for software development projects. This is one of the main reasons that the Popularity of Programming Language Index (PYPL) has declared Python as the most popular programming language of 2024.

Python being a free, open-source, and powerful programming language runs seamlessly on multiple platforms such as macOS, Windows, and Linux.  The top five advantages of Python are 👇

1. Presence of extensive support libraries.
2. Easy to use, learn and write
3. Contains user-friendly data structures
4. Interactive and Portable
5. Existence of third-party modules

Besides advantages, the top Python web development frameworks offer a variety of features to construct a seamless web or mobile app.

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Our skilled Python developers have integrated it into different projects and now for you, there is a of top Python frameworks list of 2024.  So enjoy the 15 best Python frameworks selected by our developers. But let us first quickly define Python frameworks for you.

What Are Python Frameworks?

Python frameworks provide a foundation for a software development project so that developers don’t have to start from scratch. With Python, developers don’t have to worry about low-level details such as sockets, protocols, and thread management. Usually, Python frameworks are divided into three types.

Types of Python Frameworks

The Python framework types are decided based on the number of components offered by each framework.  

Full Stack Framework

This framework is a one-stop solution for all developers containing form generators, template layouts, and form validation as common components. The other things present are Graphic User Interface, Databases and Security Protocol, and Business Logic.

Full-stack Python has all the equipment required to facilitate full-stack development. 

Microframeworks

These are lightweight by definition and developers have to manually include the additional requirements. While it may seem arduous it encourages flexibility for developers who want to have full control of their software. It only adds third-party libraries when they are necessary.

The Microframeworks are opposite to full-stack frameworks.

Asynchronous Framework

The asynchronous framework is also a microframework that allows the developers to handle large sets of concurrent connections. It helps developers execute a certain part of application logic asynchronously. In short, it supports parallel programming in which a unit of work is allowed to run separately from the main thread.

It also notifies the thread about the failure or completion of the work.

Now let’s fire up your knowledge with 15 top Python frameworks.

15 Top Python Frameworks

Here is the top Python frameworks list.

1. Django
2. Pyramid 
3. Flask
4. CherryPy
5. Bottle
6. Grok
7. Tornado
8. Web2py
9. TurboGears
10. Dash
11. Growler
12. Giotto
13. Falcon
14. CubicWeb
15. Hug

1. Django

It is considered one of the best Python web frameworks and favored by the top Django developers community for building quality and large-scale web applications and APIs. Django web framework has a variety of in-built features, and database support such as MySQL, SQLite, PostgreSQL, and Oracle, to name a few. Additionally, it follows the model-view-controller (MVC) architecture. 

Perfect Area of Application: Web development

Type: Full-stack Framework

Key Features of Django 

• URL routing features make the framework useful for SEO
• Offers excellent documentation
• Django is highly scalable 
• Suitable for large-scale projects
• Versatile functioning & offers higher security for XSS & CSRF prevention
• Extensive support, libraries, and ready-to-use components
• Stable release 
• Migrations can be automatically applied 
• Fast development with high app performance 

👉Instagram and Spotify are the perfect project examples built on the Django framework. You can hire Django developers for your next big project.

2. Pyramid
   

Among top Python frameworks is Pyramid is yet another full-stack Python framework used for simple, straightforward applications or complex ones. It offers amazing support, and a range of libraries to effortlessly build intuitive products.

Perfect Area of Application: Web development

Type: Full-stack Framework

Key Features of Pyramid 

• Compatible with both small and large-scale projects/ apps 
• Ability to execute tasks with less difficulty
• Uses external libraries for database operations and templates 
• URL generation
• Extensible configuration
• Asset specifications 
• A wide array of templating options
• Function decorators, predictors, renderers 
• Valuable for building CMS(s) and for prototyping
• Extensive data documentation, and support

👉Mozilla, Yelp, Dropbox, and Survey Monkey are built using the pyramid framework. 

3. Flask
   

It is simple, easy to learn, and understandable. But one of its specialties lies in the array of extensions that it has to offer among other things. Many developers prefer using this framework for its efficient HTTP request processing.

In Python web frameworks, it is the best suited for small-scale projects that are easy to handle but on the contrary, some of the big tech giants like Linked-in and Pinterest have been using this Python framework. 

Perfect Area of application: Web development

Type: Microframework

Key Features of Flask

• Specifically designed for open-ended applications 
• In-built server development and unit testing 
• Offers instant deployment 
• Takes after the Sinatra Ruby framework
• Makes use of Werkzeug WSGI toolbox and Jinja2 templating
• Restful request dispatching

👉Netflix, Lyft, and Rainist are some of the famous projects developed by using Flask. You can find here how to hire flask developers.

4. CherryPy

CherryPy is also an open-source web framework. The main reason why the developer community prefers this framework is because of its ability to run on all Python-compatible operating systems such as Windows, Mac, Linux, or Unix.

The main advantage of using the CherryPy framework is that it can simultaneously run multiple HTTP web servers.

Perfect Area of application: Web development

Type: Microframework

Key Features of CherryPy

• A robust configuration and installation system.
• Built-in testing support, encoding, authentication, caching, etc.
• Faster turnaround time.
• HTTP/1.1-compliant and HTTP server support.
• Ability to run multiple servers at the same time.
• Flexible plug-ins.
• Compatible with Python 2.7+, 3.5+, PyPy, Jython, and Android.
• Facilitates quick development.
• Has controller modules when it comes to data access, file uploads, or session handling.

5. Bottle

It is much simpler and ideal for small-scale web applications. This framework consists of a single file that has everything required to develop reliable web applications. On the contrary, Bottle does have its limitations when it comes to building large-scale applications in which the code is more than 1000 lines. Plus it is perfect for quick prototyping.

Perfect Area of application: Web development

Type: Microframework

Key Features of Bottle 

• Extensive documentation
• Easy to integrate with other libraries 
• Great for building RESTful APIs
• Fast prototyping
• It has a simplified syntax and is light
• Dynamic URL routes
• Built-in template engine and backing
• Uses HTTP server
• Apps built using this framework are high-performing and optimized

6. Grok

Grok is an open-source framework offering Agile development experience and allows users to choose from the network and standalone libraries. It has two main principles Convention over configuration  and Don’t Repeat Yourself (DRY)

Perfect Area of application: Adaptable Web development

Type of framework: Full-Stack Framework

Key Features of Grok

• Developers can leverage Zope 3’s capability.
• Powerful object database for storage
• Integrated data security to protect apps
• Reduces developers uncertainty
• Provides critical elements & building blocks for web app development
• Gives easy to-use productive environment

7. Tornado

Tornado is also among the best Python frameworks. It is an open-source Python web development framework that is ideal for building apps requiring high performance and has concurrent users. Tornado is robust and is known for its high performance.

It utilizes a non-blocking network I/O and can handle more than 10K connections at a single time.

Perfect Area of application: Web development

Type: Asynchronous Framework

Key features of Tornado

• Gives high-quality output
• User authentication support
• Web templating
• Offers real-time services

8. Web2py

It is a scalable full-stack Python framework that comes with its own web-based IDE which includes a code editor, debugger, and one-click deployment. One of the main components of Web2py is a ticketing framework that releases a ticket when a mistake occurs.

It is used for the rapid development of fast, scalable, and portable database-driven web-based applications.

Perfect Area of application: Dynamic web applications

Type: Full-stack Framework

Key features of Web2py

• Can run on any web hosting platform
• Backward compatibility
• Robust built-in security
• Multiple protocol readability
• Support for internationalization
• Follows MVC pattern

9. TurboGears

It is a data-driven, open-source, full-stack web app framework of Python that enables the development of extensible data-driven web apps. It is constructed on numerous middleware and various libraries. 

It allows the development of web apps with an insignificant setup.

Perfect Area of application: Extensible & flexible web application

Type: Full-stack Framework

Key features of TurboGears

• Comes with intelligible templating 
• Makes use of WSGI components (Genshi, Repoze, SQLAlchemy & WebOb)
• Function decorators
• Support of multiple databases
• MVC style architecture
• Horizontal data partitioning
• Utilizes Pylons as a web server

10. Dash

It is the best option for building an analytical web app, especially if the project is based on data science & you are not interested in mechanics web app development. Dash can be modified as per the prerequisites

Unlike other best Python frameworks, it is a small-scale framework that suits information researchers.

Perfect Area of application: For building quick dashboards for data analysis

Type: Microframework

Key Features of Dash

• Higher-level customization
• Plugin support
• URL routing (Dash Deployment Server)
• Contains interface for tying UI controls (dropdowns, graphs & sliders)
• Very little boilerplate code for initiation

11. Growler

Growler is a top choice for quickly building complex applications and passing requests through middleware technology instead of handling them inside. It was originally developed by its author to learn how to work in the asyncio library at its lowest levels.

Perfect Area of application: Web development

Type: Asynchronous Framework

Key Features of Growler

• Has multiple open-source code packages
• Easy to view program flow because of less number of callbacks & accept blocks
• Use of decorators to write reusable and effective code.
• Ziapp model presence to zip the entire application into a single executable file

12. Giotto

This framework is based on the model, view & controller (MVC) concept. It promotes functionality while the code for the model, view, and controller is separated from an existing association. The controller modules in this are used to create apps on top of web applications, internet Relay Chat, and command-line interfaces.

Perfect Area of application: Web applications 

Type: Full-stack Framework

Key Features

• Free RESTful interface
• Automatic URL routing
• Jinja2 for HTML templates with an API
• Multiple pluggable controllers
• Generic models and views 

13. Falcon

Falcon allows developers to develop clean design applications to improve existing HTTP & REST architecture styles. It is also suitable for quick backend works and enables entrance to headers and bodies through request & response classes.

Perfect Area of application: Medium as well as large applications

Type: Microframework

Key Features of Falcon

• Highly optimized & extensible codebase
• Offers Unit testing via WSGI mocks
• Extra speed boost with the support of Cython
• Immediate response to HTTP errors
• DRY request processing via hooks & middleware components

14. CubicWeb

It is an open-source, semantic, and free Python web framework that is used in the development of web applications. Cubic Web is one of the best solutions for building semantic web application development promoting efficiency, reusability, and quality.

Perfect Area of application: Web applications

Type: Full-stack Framework

Key Features of CubicWeb

• Components reusability
• Security workflows
• Supports multiple databases
• Simplifies data-related queries with Relational Query Language (RQL)

15. Hug

This Python framework minimizes the API development task by providing multiple programming interfaces. It allows developers to finish applications easily and quickly by using HTTP or CLI requests.

Type: Microframework

Key features of Hug

• Supports automatic documentation
• Offers default version of inbuilt management
• Works on the principle of “write once & use it anywhere”
• Built-in version management 

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Frequently Asked Questions

1. What is a framework in Python?

A framework is a pre-built structured set of tools, libraries, and conventions that simplifies the application development process. It actually lays the foundation for building software by providing standardized patterns and functions.

2. Which Python framework is mostly used?

Django is the most widely used Python framework known for its versatility and robust features, enabling the rapid creation of secure and scalable applications. It’s a popular choice for web development.

3. Which Python framework has the best performance?

Flask is considered to be one of the best and fastest frameworks due to its minimalistic design and lower overhead compared to extensive frameworks like Django.

4. What is the easiest Python framework?

Flask is considered to be the easiest Python framework. Its straightforward and minimalistic design makes it easy to learn and use, providing the essential components for web development without the complexity of larger frameworks.

5. Which one is better: Cherrypy Vs Flask?

Choosing between CherryPy vs Flask totally depends upon the specific needs of the project. CherryPy is a full-stack web framework, providing various built-in features, whilst Flask is lightweight and modular, offering flexibility. If your project is simple with easy integrations, then Flask is your better fit, however, CherryPy may give you more out-of-the-box functionalities.