Top 7 Python Backend Frameworks You Must Know

Python is a popular programming language that is also quite accessible. It can also be used for web development, even if data science and automation are its primary uses. In the developing world for its ease of use and readability Python has been gaining popularity. Python is one of the most popular language with many applications, including but not limited to those web development, scientific computing, data analysis, and AI. With its growing popularity, there are now many different web frameworks available as Python backend framework.

In this article you will learn about the most popular Python backend frameworks and discover which framework to choose in order to maintain powerful backend and advance your web development process. So let’s get right into understanding which Python backend framework will work best for you in 2024.

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Types of Python Framework

Python offers a variety of frameworks that cater to different areas of application development, from web development to GUIs and more. Each of these frameworks has its strengths and areas of specialization, so the choice depends on the specific requirements of your project and your familiarity with the framework.

1. Full-Stack Framework

A full-stack framework refers to a comprehensive framework that covers both the frontend (client-side) and backend (server-side) aspects of web development. These frameworks provide tools, libraries, and functionalities for building an entire web application, including the user interface, server logic, database interactions, and more. They streamline the development process by offering integrated solutions for various components of a web application.

Full-stack framework, usually referred to as an enterprise framework, is a one-stop shop for all development needs. These have built-in libraries that are set up to work in tandem. They aid in the creation of databases, front-end interfaces, and back-end services.

2. Microframework

A microframework is a lightweight web framework that focuses on simplicity, minimalism, and flexibility. Unlike full-stack frameworks that come with various components and features out-of-the-box, microframeworks provide only the essential tools needed for web development, allowing developers to add functionalities as needed. They’re typically suitable for smaller projects, APIs, prototypes, or situations where a minimalistic approach is preferred.

Microframeworks are preferred in scenarios where flexibility, simplicity, and minimal overhead are essential. They are suitable for developers who prefer a more hands-on approach and want to have greater control over the components they integrate into their projects. However, for larger and more complex applications, developers might need to add more components or extensions to handle various functionalities that full-stack frameworks provide out-of-the-box.

3. Asynchronous Framework

An asynchronous framework in Python allows developers to write non-blocking, concurrent code that can handle multiple operations simultaneously. These frameworks are particularly useful for handling I/O-bound operations where the application’s performance can benefit from not waiting for one operation to complete before starting another. Asynchronous frameworks leverage features like coroutines, event loops, and asynchronous I/O to achieve this parallelism.

They allow developers to write efficient, non-blocking code, enabling better utilization of system resources and improving overall application performance, especially in scenarios involving heavy I/O operations or handling numerous simultaneous requests.

Top 7 Python Backend Frameworks

A group of modules or packages known as Python web frameworks assist programmers in creating web applications using the Python programming language. They don’t have to worry about the usage of low-level details like numerous protocols, thread management, or connections when they choose Python for rapid development. By automating the execution of fundamental solutions, frameworks give developers the flexibility to focus on websites rather than common everyday tasks. By offering a default paradigm for app structuring that is quick, consistent, and easily maintainable, web development frameworks grant flexibility to web developers, web designers, system administrators, and Linux operators in creating a structure.

Because of their powerful typing and simultaneous command line (CL) processing, these web application frameworks help reduce the amount of time developers must spend coding and allow them to be more focused. Python backend frameworks possess a multitude of libraries for distinctive features, higher source order abstractions, and the ability to metaprogramme to create expansive and intricate code systems.capable of being maintained.

1. Django

The open-source Django framework, which is built on Python and promotes quick development and tidy, consistent design, was first made available in July 2005. Designed by seasoned developers who take care of a large portion of the work involved in web development, freeing you up to focus on creating your app rather than having to start from scratch.

All you need to know to create a project in Django is the most widely used language, Python. Python will take care of it, thus learning structured query languages like SQL or NO-SQL is not necessary. It’s easier for developers to build code and reuse portions of it in other projects when they can divide a project into multiple applications with Django.

The companies using Python Django Framework are as follows:

• Instagram
• Mozilla
• Spotify
• Bitbuket
• National Geographic

Benefits of DJango

• Security: Nowadays, cybersecurity is a major concern for IT professionals. Thankfully, Django’s security mechanism is able to prevent attacks like as SQL injection, cross-site scripting, and clickjacking and it updates security fixes quickly.
• Scalability: This is an additional advantage of building web apps with Django. Depending on the specific needs of your project, development can be scaled up or down, altering the quantity and complexity of Django components as needed.Django manages traffic and mobile app API consumption from more than 400 million users, maximising scalability and reducing web hosting costs.
• Versatile: Django can do it all, from administering content management systems to regulating scientific computing platforms. Django is the umbrella beneath which everything operates.
• Excellent Documentation: Django provides excellent tutorials and documentation. The official Django documentation is of a high calibre. There is a large development community supporting the framework, and they are willing to help newcomers.

Features of Django

• A pleasant and adaptable ORM
• Routing URLs and templates
• The capacity to execute and implement migrations autonomously
• The admin panel’s skeleton for automatic generation
• Automatic security measures like CRSF prevention and XSS
• Excellent support for geographical queries and geographic data using GeoDjango principles
• An overflowing, usable library

2. Flask

Another well-known and excellent Python framework that belongs to the Microframework class that is licenced under the BSD licence is Flask. It draws inspiration from the Ruby Sinatra framework. It requires the Jinja2 template and the Werkzeug WSGI toolkit; an example of a WSGI framework is ToscaWidgets. Flask is a web framework with which Dash developers can work.

Flask is more versatile than Django because of its functionality, gentle request dispatching, request processing, modular architecture, and lightweight frontend design. With the help of a sophisticated abstraction provided by ORMs, an interactive database can be read, created, deleted, and updated by a developer by simply transcribing code instead of using SQL. Flask is a Python framework that enables users to create a real web application base and database tables from which they can utilise any necessary extension source.

Features of Flask

• Routing, session management, language templating, etc.
• Total assistance with unit testing
• Integrated development web server
• Role-based access control for ticketing and error recording to manage errors
• A pluggable minimal model
• Excellent REST support and synchronisation
• Blueprints are supported by Flask.
• Using a secure cookie and any ORM
• Serving and uploading static files
• Section of a flexible web application

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3. Hug

The Hug is a Python 3 API framework that allows the Python developers community for building APIs and then they can use it whenever they want to.

This framework has the ability to simplify restful API construction and prototyping as it offers multi-threaded interfaces. It is also considered as the fastest web frameworks in Python if you are using Python 3 in your organization. It lets web developers complete app formation easily in one click deployment, over HTTP requests or responses, or via the CLI.

Features of Hug

• Annotation-driven validation
• Adopts the “write once, use anywhere” attitude
• Version control built right in
• Allows for automated documentation
• Version control built right in
• adherence to Cython
• The Python standard library’s ability to execute and utilise

4. Falcon

Another popular Python framework is called Falcon, and it’s designed to construct web applications quickly. Falcon enables developers to create a simpler design that supports HTTP and REST architectures, in contrast to other Python frameworks that necessitate loading numerous dependencies.

According to Sanic’s benchmark test, Falcon can process more requests than any of its competitors with the same hardware. The 100% code coverage goal of the Python framework is pursued. Major players like RackSpace, OpenStack, and LinkedIn use Falcon.

Falcon Features

• Integrated quick template engine
• Backs Cheetah, Mako, and Jinja2.
• Integrated HTTP development server
• Assistance with the creation of dynamic URLs
• Support for many databases via plugins
• Support for headers, cookies sessions, and file uploading
• Absence of external reliance

5. CherryPy

CherryPy and Django Python backened frameworks are similar to eachother. It one of open source framework for web development process that will most importantly enlist the object-oriented paradigm. With the help of this framework’s own HTTP/1.1 WSGI multi-strung Python web servers, you may create web applications extremely quickly. Additionally, CherryPy enables web developers to build apps and database connectivity using their own coding techniques. They can also look through their multi-threaded web server.

It is the greatest Python framework, enabling programmers to create dependable databases more rapidly and with a smaller source of code. In order to facilitate data access, file uploads, templating engines, and session management, it provides controller modules and an assembly framework. Additionally, it offers integrated assistance for documentation duties like project profiling, testing, and coverage. CherryPy stands out mostly for allowing users to run numerous HTTP web servers at once.

Key Features

• WSGI thread-pooled web server that complies with HTTP/1.1
• Support for Multiple HTTP Servers
• Robust system for installation and configuration
• Adaptable plugin architecture
• Concepts of minimalism
• Quicker time to development

6. Dash

Dash is a micro-framework that is open-source and specifically made for creating analytical applications. Due to its foundation in Flask, React, and Plotly.js and its low requirement for extensive familiarity with Python’s tech stack and web development frameworks, this framework is favoured by data scientists.

With Dash, developers can quickly and easily create all the components required for robust database administration and a mobile-friendly, cross-platform online application. The layout component of this well-known Python framework specifies how the application will look, and the functionality component describes how it will interact with users.

Dash Features

• Basic User Interface
• Minimal Interest in Boilerplate Code
• Unable to Load Layout
• Integration of LDAP
• Personalisation
• Support for Plugins
• Data manipulation and URL routing

7. TurboGears

TurboGears is one of an open-source, data-driven and type of full-stack Python framework. It integrate some of the best components of other types of Python frameworks and gives many useful libraries. And it will allows web developers to build data-driven web applications quickly.

And this Python Backend framework has a user-friendly templating engine and a robust ORM. Additionally it allows enough scope for flexibility. TurboGears uses components such as Genshi, Repoze, SQLAlchemy, and WebOb to ease the development of web apps that require database.

TurboGears Features

• Auto-generated CRUD and Admin.
• Migrations of Schemas.
• Queries in Master/Slave Databases are balanced.
• Request Bound Transactions.

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Basic FAQs

Q. What is the best Python web backend framework?

Ans: DJango, Flask, Hug, Falcon, CherryPy, Turbogears, Dash etc.

Q. Which Python framework is mostly used?

Ans: Django. It is a well-known open-source full-stack Python framework that comes with all the capabilities required by Python by default.

Q. Is Django still relevant 2023?

Ans: Yes, 39% of Python developers utilised Django, according to the Python Developers Survey 2022. Django’s popularity is still high at 40%, according to the Developer Ecosystem Survey 2023’s preliminary results.

Q. How many libraries are in Python?

Ans: Python’s vast library of more than 137,000 modules can be used for machine learning, data science, data visualisation, image and data processing, and many more applications.

Q. Which Python library is easiest?

Ans: Starting with NumPy is the simplest. Multi-dimensional arrays and matrices can be worked with using a wide range of high-level mathematical functions found in this library for the Python programming language.