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Top Python Frameworks List: Detailed Roadmap

Popular frameworks in Python

Frameworks greatly simplify developers' lives by providing a clear structure for application development. They help eliminate small tasks and problems and reduce development time, allowing you to focus more on your project logic. There are many frameworks to choose from. Each best python web framework is designed for specific tasks and purposes. 

This article provides a short overview of popular frameworks in Python and investigates which Python framework is best for web development.

Programming Languages Popularity: Brief Overview

The TIOBE programming community index (TIOBE) is an index that measures the popularity of programming languages. It doesn't aim to find the best programming language by the largest number of written code lines. Instead, it builds its arguments by analyzing the search query statistics in such systems as Google, Google Blogs, YouTube, Wikipedia, Amazon, MSN, Yahoo!, Bing, and Baidu. Apart from the monthly reports, every year, TIOBE chooses the Programming Language of the Year. In 2018 and 2020, Python held this title.

The (Institute of Electrical and Electronics Engineers) published three additional rankings of programming languages: the popularity growth rate, the number of open developer vacancies, and the popularity of the open-source resource. According to the IEEE Spectrum, Python, Java, C++, and Javascript hold their positions in the top 5.


Python is a high-level, universal programming language with many functions, and it is most often included in university study programs. It's an obvious leader in data analysis and machine learning. 

With all its great potential, Python is also considered extremely beginner-friendly. Its advantages are excellent code readability, clear structure, and high flexibility due to a wide range of plug-in libraries and modules. 

More and more statements have been made to confirm Python as the main programming language for the scientific field. And given the growing interest in artificial intelligence programming, it becomes obvious why many programmers choose Python.

python full stack framework

What Types of Python Frameworks Are Popular?

What is the best Python framework? Before answering this question, one needs to specify what a framework is and its types and functions.

A framework is a toolkit developers use to create a software product quickly and efficiently. Using frameworks, developers can focus on implementing application business logic without reinventing many common functions, including data storage, security layers, application routing, and many more. There are various options among top Python frameworks that programmers can choose from depending on their frameworks' tasks and functions. The two main types of frameworks are full-stack and microframeworks.

Full Stack Framework

Full-stack frameworks have everything you need to create the application —  Model-View-Controller (MVC) architecture, ORM implementation, template engine, routing, security functions, and more. This toolkit is suitable for any common task. To have more custom architecture, however, developers often go with less restrictive solutions.


Microframeworks include only basic components. They are designed to provide only the necessities and require you to write a lot of custom logic. There may not be, for example, an ORM or form interface validation, so you will need to add a lot of code or connect third-party libraries.

python backend framework

We keep up with all information about best python web framework, our digital product development team knows how to make Python work for you, feel free to contact us.

Best Python Frameworks Suitable Not Only for Web Development

Python frameworks are usually divided into two major groups: synchronous (Django, Flask, Falcon, Bottle) and asynchronous (Tornado, FastAPI, aiohttp, Sanic). In ​synchronous operations, tasks are performed in sequence. Asynchronous tasks can be run and completed independently. A single asynchronous task can start and continue running while it moves to a new task.

These two Python code “worlds” are relatively separate – they have different calling styles and libraries but share syntax and variables. This means that synchronous libraries cannot be used from asynchronous code and vice versa.

1. Django

Django proved to be the most popular Python web framework. It suits both beginners and proficient coders. The development process is easy, the code is clean, and learning is quick. Django's architecture is designed to save your time and energy and, in the long run, your time and money. Its core philosophy is based on DRY (don't repeat yourself) and rapid development principles — it encourages code reuse and reduces redundancies. More importantly, it's a free and open-source project.

Django framework

Django Features

Django has many features like internationalization, authentication, web server support, URL routing, and database version control. Many users choose it because of its scalability potential, big community, and rich documentation. Multiple ratings name it the best Python framework nowadays.

Where It Is Used

Django is used for a wide range of projects, from scientific computing tools to content management platforms and social networks. The most well-known examples include Mozilla and YouTube.

2. Flask

Flask is a micro WSGI(Web Server Gateway Interface) framework suitable for both simple projects and complex platforms. It is compatible with external libraries and has many extensions. It focuses on simplicity rather than functionality. It takes much less time to configure and install Flask than other frameworks, and there will be less abstraction between you and HTTP features.

Flask framework

Flask Features

Flask's main idea is to help its users build a solid foundation for web applications. It has some useful functions: built-in development server and fast debugger, Jinja2 templating, secure cookie files support, and the possibility to connect any ORM.

It's best for web developers who want to use best practices, get quick prototyping, and build stand-alone applications. However, Flask is not for total beginners, as it requires high expertise in programming.

Where It Is Used

One of the largest streaming platforms, Netflix, online financial management platform Rainist, and the transport renting and taxi services platform Lyft are among the project examples created with Flask. 

Who knew that the project released as an April Fool's joke would be so popular! For beginners, Flask has become very convenient because of its maximum simplicity. And for such giants as Pinterest or Netflix Flask is very attractive for its API, and moreover, LinkedIn uses it as its "internal stack".

3. Falcon

Falcon is a reliable and performant Python-based web framework for large-scale applications, backend, and microservices. Falcon applications work with any WSGI/ASGI server and run under CPython 3.5+ and PyPy 3.5+.

Falcon framework

Falcon Features

The framework focuses on the DRY principle (Don't Repeat Yourself). The tool is beginner-friendly and provides detailed and easy-to-follow documentation. 

Falcon’s creators name a range of features like stable interfaces focusing on backwards compatibility, strict RFCs adherence, or simple API modeling via centralized RESTful routing. Besides, Falcon provides native asyncio support and an extensible, highly optimized codebase. The framework doesn't rely on magic globals for state management and routing and processes the DRY request through hooks and middleware components. 

Where It Is Used

LinkedIn and the payment system PayPal, among many others, are known to use Falcon for their large-scale projects.

4. Bottle

Bottle is a very light framework and is placed in only one file. Despite its minimalism, Bottle provides quite a wide range of functions, which are 100% enough for small and medium-sized projects.

Bottle framework

Bottle Features

It includes routing for pure URLs. The strength of this framework is templates. The features include convenient access to data forms, file downloads, headers, and other metadata related to HTTP. The framework supports WSGI and external template engines, and it has a built-in HTTP server. It relies solely on the Python Standard Library and will not overburden your project with useless dependencies. 

Bottle is the ideal solution for prototyping, learning how to organize web frameworks, and creating simple applications. 

However, Bottle has a relatively small community, and, as a result, limited examples and documentation are available.

Where It Is Used

The project examples using Bottle include an SEO, marketing, and content digital agency CleverClicks, a call recording system, Total Recall VR, and an Australian recruitment company MARS Recruitment.

5. Tornado

Tornado is not only a framework but also an asynchronous network library. It uses a non-blocking network I/O, which means it can handle 10,000+ concurrent connections if properly configured.

Tornado Framework

Tornado Features 

Tornado is an excellent tool for creating applications that require high performance and the facilitation of thousands of simultaneous users. Here you will find built-in user authentication support, non-blocking HTTP client, implementation of third-party authentication, and authorization schemes. This framework is something between Django and Flask.

Where It Is Used

The file management system Uploadcare uses Tornado in both web and mobile versions. 

6. FastAPI

FastAPI is a modern, high-performance web framework for creating APIs in Python 3.6+ based on Python type hints. Built as an extension of Starlette and Pydantic (two more asynchronous python frameworks), it is one of the fastest and most accessible Python frameworks, and we at HuskyJam really enjoy it!

Fastapi framework

FastAPI Features

FastAPI is a very simple and fast framework designed specifically for REST API service organization. The framework can work on various operating systems, has built-in asynchronicity and good documentation. The framework’s main feature is a simple organization of code. Besides, it allows the automatic documentation formation for your API in Open API format. 

The official documentation reports that FastAPI reduces the human error rate by approximately 40%. It has also become popular among Python developers as it's intuitive and easy to learn. Provided documentation is clear and simple to follow.  

Where It Is Used

Such industry giants like Netflix and Uber announced using FastAPI for some of their projects in official press releases.

7. aiohttp

Aiohttp is a framework that allows creating asynchronous applications with Python. More precisely, it's an HTTP client/server package for asyncio.

aiohttp framework

aiohttp Features

One of the features of aiohttp is support for both server and client-side of HTTP protocol as well as both client and server Web-Sockets out-of-the-box. The framework also provides a web server with pluggable routing and middlewares.

Where It Is Used

Many industry leaders use aiohttp in their major development projects - Yandex, Wargaming: World of Tanks, Rambler, and many more.

8. Sanic

Sanic is another asynchronous framework for Python built on uvloop and designed for the fast processing of HTTP requests. Intuitive API with smart defaults and no bloat allows you to get straight to work building your app.

Sanic framework

Sanic Features

Sanic is ASGI-compatible which allows you to deploy it with an alternative ASGI webserver. The framework enables creating highly performant HTTP servers that are easy to build, expand, and scale. 

Notably, in the benchmarking process, when processing 100 connections, Sanic showed the ability to handle 33,342 requests per second. It focuses on performance and speed. 

Sanic is a popular community-driven, simple, and lightweight out-of-the-box solution that focuses on scalability and speed.

Where It Is Used

A large online retailer Bonton and a custom cable manufacturer Wiremax are among the companies using Sanic for their software.

How to Choose The Best Framework for Your Project

There are many criteria you should consider when choosing a framework for your project. The most important factors you should keep in mind are the project size, purpose, and budget. Here is the list of the most important factors you should brainstorm before making a decision.

  • Synchronous vs. Asynchronous Frameworks

Jeff Atwood, Stack Overflow co-founder, once said: "Hardware is cheap, and programmers are expensive.” Many companies keep increasing their hardware budgets to maintain server capacity. Asynchronous frameworks may be a smart solution as they make your developer’s life much easier. 

Simply put, they can handle multiple server requests at the same time. It means that one process can execute multiple codes simultaneously. It resolves the problem when all your processes individually are idle, waiting for API responses, and you have a queue to back up new requests that are waiting for an available worker. 

Changing to asynchronous frameworks helps solve load server problems. Ready framework solutions make it an affordable and easy-to-implement option.

  • Project Size, Type, Complexity, and Time 

Large projects tend to have a lot of custom code. It may result in expanding framework functionality greatly and sometimes rewriting it. In this case, you should consider less restrictive solutions with a minimal set of requirements. 

In small teams and small projects, it's common to use a framework with many built-in features. You might have to make some compromises, but development time will be reduced significantly, and development budgets will stay low.

  • Community Size and Availability of Third-Party Libraries

If you are starting a project by yourself, great community support is just what you need. But even working with a big and experienced team, it is always beneficial to have a wide variety of community-supported libraries to choose from.

  • Flexibility, Scaling Potential, and Load Requirements

Every framework adds its weight to potential application performance and ability to scale. If you are not ready to make a completely tailor-made solution from the ground up, the best option is to consider framework flexibility and the future potential of scaling.

  • Fault Tolerance and Security Requirements

Most frameworks have some built-in security layers and error-preventing modules. However, some of them are just better than others in this particular field.

Need more information on which best python framework for web development to use - just drop us a line, we will return with an answer quickly!

Integration With Other Solutions

If your project absolutely requires integration with some third-party app, some frameworks may have a plug-n-play library for that.

Some frameworks are more flexible, and others are easy to use; some are better for small projects, and others are more effective for big endeavors. Overall, if used correctly, frameworks are a great tool for both beginners and seasoned professionals.


Python really is an excellent programming language, and it’s best applicable to artificial intelligence, machine learning, and data science technologies. Our team of experts works with Python literally every day and knows the best python frameworks, most often, we use Django, Flask and Tornado, and also pay attention to FastAPI - in our opinion, it’s a trend. 

Our python development services are more than 100 products ranging from simple websites to complex distributed systems for different business sectors as Edutech, Healthcare, FinTech, BeautyTech, etc.

Ready to kickstart talks about your next Python development plans? We are here!

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