Python is no doubt one of the topmost adaptable languages for web development in 2023. Python is used in many cases like web development, mobile app development, data analysis, machine learning, and many more. Based on a recent survey, Python is one of the widely used programming languages, covering around 50% of all programming languages. Python abbreviated with most versatile frameworks.

Importance of Frameworks

Frameworks are the set of libraries that are used to build high-end applications.

Frameworks are like a backbone for any programming language. It is used to inspect the overall functionality of code, check the bugs or errors, check the code reusability, user intent codes, and manage the hardware and software. Frameworks are known to make the job of web developers effortless by reducing the development time and cost.

There are many Python frameworks and each has its unique features. To decide which framework to use for which project, is like a crooked task.

Python web development frameworks

So, we have compiled for you a list of the Top 15 Frameworks of Python for Web Development in 2023. Let’s understand each one of them and start building your awesome projects. Let’s get started.

Market Stats for Python Framework in 2023

Distribution of Frameworks

The top of the Python frameworks is divided into three main segments.

  • Full Stack: A full-stack framework cohesively works with a pack of libraries, embedded plugins, and extensions. These frameworks are supported by the front-end and back-end interfaces and databases. They have MVC architecture that is capable of creating heavy web applications. Other features are template layouts, form validation, generator, and many more.
  • Micro Framework: These are not full-fledged frameworks, they use only essential features of an application. It excludes some features like database abstraction, input validation, a web template engine, and an authentication function. It supports only manual coding.
  • Asynchronous: Asynchronous frameworks are developed to handle large concurrent tasks and connections. They contain an async IO library of Python. In this framework, tasks can run separately and not depend on any other tasks for their completion.

Read Also: Top 10 Web Development Stacks you need to look out for in 2022

Based on the above classification, all of the top frameworks of Python are categorized. Let’s understand them one by one.

1. Django

Whenever the name of top Python Frameworks comes up, Django is the first one to look at. It is one of the widely used frameworks for web development by full-stack developers. It covers about 14% of the total framework percentage of Python. 

Django Python Framework

It is a full-pack stack of frameworks that consists of features like database schema migration, object-oriented mapping, URL routing, template engine, authentication support, and libraries.

Django is easily accessible to various databases like MySQL, SQLite, Oracle, PostgreSQL. It is used to create MVPs and web applications.

2. CherryPy

CherryPy is an open-source program that comes under the Micro Framework category of Python, which can be deployed with several servers. This framework provides easy-to-use coding, which effectively builds scalable web applications.

CherryPy Python Framework

 Some of its core functionalities are authentication, static content creation, crash handling, session end, and many more. It consists of a powerful configuration with flexible plugins. HTTP 1.1 server for running multiple WiFi threads and provides support for testing.

CherryPy first came into discussion in the year 2002. Due to its proximity, it can run on any server so there is no need for any Apache Server to debit an application built in this framework.

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 3. Flask

The top suite of Python Framework is not complete without Flask. It is one of the leading Micro Frameworks for python after Django. Why? Because of its simple-to-use and implement coding style. It offers various customization features to full-stack developers. Flexible support of API, plugins, and libraries combinedly make it possible. Developers have provided customized solutions for web applications.

Flask Python Framework

 One of the most useful features of Flask is in-built debugging. It helps to reduce the time taken for connecting to a web server and executing the code and checking the bugs. Other magnificent features are HTTP server request, request dispatching, unit testing, in-built server deployment, and likewise.

Flask deploys Jinja2 templating for its modular designing and supports object-relational management (ORM) for database handling. It is a Micro Framework that supports the Google app engine. It offers to develop client-side sessions and many more.

Read Also: Why Should You Hire Python Developers?

4. Bottle

The Bottle is one of the major leaders in building Apis under Micro Frameworks of Python. It delivers high-end security code to the developers. The bottle gives super fast speed to code, dividing it into small lines of codes. It has a clean coding structure which comes along with a separate source file. It supports third-party templates and is one of the best frameworks for prototyping.

Bottle Python Framework

Some important features of Bottle include HTTP server requests, other plugins, and database support. It provides dispatching of routes and URL parameter support.

5. Falcon

Falcon is one of the Micro Frameworks intended to build web applications and APIs. Falcon facilities are less dependent on other third-party support and extensions. Developers can smoothly use the code, handle HTTP and REST APIs. REST API consists of URL templates for spontaneous routing, which is inspired by resource classes.

Falcon is one of the powerful frameworks that help developers with an extra boost and Cython (C-extension for Python) support. It provides parallel functionality with the same hardware support to handle all requests on the server. There is no misplacement of codes, making it 100% code secured and gives the flexibility to developers to write a high-quality codebase.

Falcon Python Framework

Many big tech players like LinkedIn, RackSpace, and OpenStack used Falcon. Some of its top features are DRY (Don’t Repeat Yourself) request processing, HTTP error handling, feasible solutions to handle headers and bodies with request and response classes, and likewise. Falcon is capable of handling front exceptions and performing intuitive testing support using WSGI helpers and mocks.

Read Also: An Expert Developers Guide to API Development & Integration

6. Giotto

Few of the Python frameworks are classified into full-stack frameworks, one of such is named Giotto. As a full-stack framework, this has an advantage so developers work parallelly to both frontend and backend interfaces. Giotto is a very agile and fast application framework as it allows to work independently using the MVC (model-view-controller) architecture.

Giotto Python Framework


It offers usability to create apps on command line terminal, internet relay chat (IRC), and web. Back-end developers can easily integrate their database into the SQL alchemy, while it offers a range of generic models and views to the front-end developers with CRUD functionality makes a very hassle-free experience for them.

A wide range of plugin controls and build-cache support like Memcache and Regis allows another group of communities to help each other. Jinja2 is an application interface for building HTML templates that suffices ease to the new designers. Many database support engineers agree that Giotto is peaceful for handling the browser POST requests using a RESTful interface.

7. Web2Py

Web2Py is one of the most prominent full-stack frameworks for web developers, engineers, and technocrats. It was first developed by ‘Massimo De Pierro’. It is one of the open-source web application frameworks which allows developers to write dynamic content and codes using Python. Its latest versions are Web2Py 3 and 2.7.

Web2Py Python Framework

There are many useful deployment tools it offers to the developers. Like web-based IDE for smoothly creating an instance and using it on several websites using unique databases. It helps modify, deploy, and manage the application on your browser without worrying about the specific server.

Web2Py supports much extensive documentation for their new as well as experienced professionals and developers. They can easily join the community for any support. Documentations are brief, and contain videos, docs, and quick examples to easily understand. They have proposed many designers with their templates, layouts, and plugins. Web2Py comes with a web-based IDE for easy code editing and debugging.

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The framework consists of built-in components that cover everything inside a package without any third-party dependency. Some of its functionalities are a multi-threaded web server, SQL database, uninterrupted HTTP requests, debugging of codes, aided testing, data security with cross-scripting, resolving injection flaws and file execution issues and many more.

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8. Dash

Dash is one of the productive Micro Frameworks for developing analytical applications. It is coupled with vast JavaScript plugins like react.js, plotly.js, and written on Flask, is a great data visualization tool. Dash is mainly developed for data scientists. For the developers, it supports fair enough protocols and technologies to create interactive web-based applications.

Dash Python Framework


Applications built in Dash are fully webbed supportive and coders can easily bind it with other servers and addresses on the Internet, hence Dash is used on cross platforms. It contains many packages and open-source component libraries, dash callbacks, HTML components, and bootstrap components, you can prepare your components in it. For designers, it provides a large canvas, Cytoscape, VTK, and slicer. Dash image annotations are more powerful for Data visualization techniques.

Dash offers ecosystem integration, production capabilities, and intelligent tutorials for new and exciting opportunities to the community of Python developers and learners.

Read Also: Why MEAN stack is the best choice for your web app development?

9. Pyramid

Pyramid Python Framework


Pyramid is an open-source full-stack framework. It was developed to minimize the complexity of the project. There is vast availability of resources for developers like URL generations, Function decoration, hassle-free authentication, and authorization. It allows the use of predicates and renderers. With the use of XHR and decorators, developers can send requests on the Ajax server. Database handles can use its SQL alchemy for easy to fetch queries.

10. Tornado

 Tornado Python Framework


Tornado, a web development framework, was acquired by Facebook in the year 2009. It was developed by a company called FriendFeed. Tornado able to do concurrent threading of more than 10,000 connections, known for high performance of tasks. It is an open-source Asynchronous framework performing I/O operations.

Some of the promising key highlights are fast user authentication support, user localization, real-time services, and web templates. Developers can implement third-party authentication like Google OpenID/OAuth, Facebook login, Yahoo BBAuth.

11. CubicWeb

When it comes to faster programming, open-source, and semantics, CubicWeb played an important role. It is developed by LogicLab, to create a web app. 

CubicWeb Python Framework

 Unlike other frameworks, it works with the cubes, where the view and model of everything are placed under one roof. Inclusion to this database, web server, config files, all has to be joined together to create the object class. Cubes are the reusable components to define the specific features that reuse the file, email, and comment.  

CubicWeb uses RQL (relational query language) for the database to retrieve the data from databases. Cubicweb library supports plenty of templates and data modeling for the automatic creation of features.  


It is another MVC architecture, which supports fast and parallel development. This breaks down the task of the programmer for the web app. 

AIOHTTP Python Framework

AIOHTTP supports handling the async requests to maintain the static files on the server. Async allows developers to be flexible and schedule their tasks at comfort. 

That is the reason AIOHTTP is more scalable and cost-effective. This Python framework actively supports the Google App Engine and Flask using libraries where the request object handles the functions. 

Read Also: What Makes Biggies Like Google, Instagram, it’s and Facebook to Use Python Most Favorite Programming Language?

13. Turbogears

It is the open-source web app framework for building a dynamic web app. It offers many advantages over other frameworks like fast integration of customized web server gateway interface. 

Turbogears Python Framework


Turbogears use SQLObject and SQLAlchemy for the real multi-database support. Meanwhile, the developers can use the command line tools in case of customizations in the code. Mochikit javascript is the set of frameworks, APIs, and third-party integration of the tools for handling the cross channels without the worry of codes.

Features like authentication support, caching tools, integration with the object-oriented models, make the module more flexible and versatile. 

14. Growler

Growler Python Framework

It is another class of the python framework with the version of the class growler. App is the asynchronous framework for building on the asyncio library. It uses the middleware framework for the easy dispatch of the codes of complex applications. The codes are clean and reusable that can be executed with the single file execution using the ziapp module. 

15. Sanic

With the Sanic framework, you can build fast and run fast. Using the simple API takes you straight to the app creation. For large businesses, now you can handle the complex databases with the webserver. It is one of the top async-enabled frameworks. Speed and scalability are the major concerns for most of the small and big communities in businesses. 

Sanic Python Framework

 So don’t panic with your thousands of lines of codes, Sanic has all of what you want to write, deploy, and scale up your web applications. Simple and intuitive design, for production-ready services. 

Categories of Python Applications

  • Web App Development

Web app development is such a daunting task. For building any of the apps, it is quite a nightmare for the users if the app is not developed under the right framework. In no time with the advancement of the technologies, Python is the imperative framework to count to be the best in the short span of time.

It allows the developers to build a specific web app, scientific apps, system apps, command-line utilities, games app, graphics, and many more. 

With the vast presence of libraries that are open source. Hence developers can copy, embed and distribute the python without any restrictions. 

  • Internet of Things

Python is considered to be the best general-purpose programming language for fast integration with other languages. Now writing the same code can be an irksome task for you. With Python, the issue gets resolved. Internet of Things is solving real-world problems, using the tools Raspberry Pi and python. So that the object gets turned into an electronic device. 

Every embedded application needs a high level of computation. The app is converted into the microprocessor within the normal object. With the industrial IoT, you can track the inventory or move the machines, and track the processing for resolving the status of the industries. 

  • Enterprise Apps

Enterprise apps are the need of niche businesses. Python is the best language in such a case. Security and robustness is the need of complex businesses in real-time, python can handle large and complex applications for giving optimal security to them. 

  • AI and ML

Artificial Intelligence and Machine Learning are the two most fascinating fields for web development for businesses. Python can easily be integrated with Artificial Intelligence (AI) and Machine Learning (ML) to give advanced analytics and image recognition and other solutions to the industries. There is vast library support for the machine learning libraries using Scipy and pandas, TensorFlow, and NumPy for quick computations.

Your Final Call: Which Python Framework will you choose for Web Development?

Wrapping up everything above. We have piled you a list of the Top 15 best Python frameworks for web development in 2023. We hope that you have enlightened this blog and understand the necessity of a perfect framework for the successful completion of your project. These frameworks provide flexibility to developers to work great on their applications rather than cross-checking for other routines. These have intuitive support for error handling, a high degree of customization, plugin support, smart UI controls, URL routing, and many more techniques for the future.

Have you got the instinct that which framework adds laurels to your web development project? If not, then please let us know. We are providing 360-degree support and solutions to our clients for building their first web development project. We have built a huge range of projects in web development, mobile application development, and covering all of the major trending technologies.

best Python frameworks for web development


Project Manager

Dinesh Shilak is a tech enthusiast and a dedicated writer who brings a fresh perspective to the world of technology through her engaging blog posts. With a keen interest in the latest technological advancements, Dinesh's passion for the field shines through in her writing.

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