Introduction
Python is easy to use Programming Language, one can use it to create large-scale projects by using its libraries and Frameworks. Python contains many different Frameworks that can help you build ready-to-use web Apps and deploy them efficiently.
In this Blog Post, I will discuss what exactly is a Framework, its Types and the Top 10 Python Frameworks in 2023. So let's dive into the details of the topic.
What is a FrameWork?
The framework is a collection of modules or packages.
The basic advantages of using frameworks are they are open-source, secure, well-documented, and efficient.
Frameworks provide a built-in implementation of redundant tasks that help's in reducing development time
Frameworks reduce the hesitation to worry about common details like protocols, sockets, etc and let us focus on application logic.
Why use FrameWork?
Frameworks allow structuring an application with predefined functionalities.
Frameworks help to make code reusable and scaleable
They make the life of a programmer easier to share and reusing the code with other developers
Using a library can be as challenging as performing any operation one needs to learn the functionalities.
Learning a library can be very random whereas learning a Framework is easy as the documentation is in sequence manner, just like learning any other language.
Types of Python Framework
There are 3 Types of Python Frameworks namely: full-stack framework, micro-framework, and asynchronous framework. Let's understand in detail these as below
1. Full Stack Framework: It provides a complete solution for web development such as form generator, form validation, template layouts, etc.
2. Micro Framework: It’s a lightweight and easy-to-use framework. Developers need to manually hard-code to get additional features and functionalities. This framework is used in small applications.
3. Asynchronous Framework: It uses asyncio library to work. This framework helps in running concurrent connections in huge amounts. Due to its async nature this framework is getting more Popularity
Top 10 Python FrameWorks in 2023
Now that we have discussed what exactly a framework is and its type, here is the list of the top 10 Python Frameworks in 2023
Django
Flask
Web2Py
Bottle
CherryPy
Dash
CubicWeb
AioHttp
Falcon
Growler
Django
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design.
It comes under Full-Stack framework Category.
It focuses on security and helps developers avoid many common security mistakes.
Using this framework helps developers take applications from concept to completion as quickly as possible.
It has many Libraries and helps to migrate easily from one to another framework.
Flask
Flask is a lightweight Python web framework that lets you build web-applications easily. It provides useful tools and features for creating web applications in the Python Language.
It gives developers the flexibility to build a web app quickly using only a single Python file.
It does have many cool features like url routing, template engine. It is a WSGI web app framework.
Web2Py
Web2Py is a Free open source full-stack framework for the rapid development of fast, scalable, secure and portable database-driven web-based applications.
One web2py instance can run multiple websites using different databases.
It has all the features that an IDE should have like a debugger, a code editor, and one-click deployment.
Bottle
It is a fast, simple and lightweight WSGI micro web-framework for Python.
It is distributed as a single file module and has no dependencies other than the Python Standard Library.
It comes under the Micro-framework category
Bottle is mainly used to build small Applications and mainly for API's building.
CherryPy
CherryPy is one of the oldest Python Frameworks that allows developers to build web Apps in a way similar to any other object-oriented Python program.
It is a minimalist Python Framework that results in smaller source code in a short time.
Applications created using CheryPy are stand-alone Python applications that have a multithreaded server embedded in them.
Dash
Dash is an open-source micro-framework used for developing analytical web applications.
It is a cross-platform framework as Dash apps can be rendered on a browser and deployed on the server to give mobile-ready applications.
This framework is more popular among data scientists who are not much aware of web development.
CubicWeb
It is a full-stack Python framework that makes use of cubes instead of using separate models and views.
It is an open-source, free-to-use, and semantic web framework.
AioHttp
Aiohttp is an asynchronous Framework
It can serve as a client framework also apart from being the server web framework.
It has Python's Asyncio Library and has features like async and await.
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Falcon**
It is a minimalist ASGI/WSGI framework for building mission-critical REST APIs and microservices.
It focuses on reliability, correctness, and performance at scale.
This framework is widely used by organizations like LinkedIn, OpenStack, RackSpace.
Growler
It is an asynchronous type of framework.
It is based on NodeJS and an express/connect framework.
This framework handles the request by passing it through middleware technology.
Conclusion
In this Blog Post, I covered the top 10 Python Frameworks that can be used to build WebApps efficiently. These frameworks can serve requirements based on one's projects accordingly. One can choose the framework basis their Requirement. However, it is always advisable to know some frameworks like Django that have widespread applications in the industry.
Thank you if you read this post and have found this post useful. I hope you have a great read and are enjoying my magical journey of Python coding. This is it for this Blog Post
See you in the next one.....
About Me
Hey Guys, I am Chintan Jain from CodeWithJain. I am a trader and content creator. I am also passionate about tech and hence wanted to explore the field of tech. I always wanted to learn to code so I watched many tutorials but procrastinated practicing coding. To get into the habit of coding consistently I am starting to BLOG with HASHNODE on daily basis.
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