What are Python Frameworks?

Python is an open-source, interpreted, and a high-level programming language. It easy to use syntax and compatibility with different types of applications adds on to its popularity. But to create an application using any language, Framework is required.

A framework is known to be a collection of modules or packages which help in developing web applications. While working on frameworks the developer doesn't need to worry about the low-level details like protocols, sockets, or thread management. By automating the implementation of redundant tasks, and providing the structure, frameworks reduce development time. The key advantage of using a framework is the flexibility. They are extensible and provides us with the necessary tools to extend its features.

Types of Python frameworks

Full-stack Frameworks: 

A Full Stack Web Framework is the one that supports the development of all the major parts of the software such as front end, back-end, and database connectivity. Such frameworks work as a one-stop-solution for all the development related requirements. Form generators, form validation, and template layouts are usually available with a typical full-stack framework.

 Micro frameworks

Also known as non-full stack frameworks, these are lightweight frameworks that offer only basic features and structure required of development. These are lightweight in nature because they do not offer components as much as the full-stack framework does. Developers need to add the extra features required on their own.

Asynchronous Frameworks

The asynchronous framework is mainly built for Python and using the asyncio library. The asynchronous framework is a variation of the micro-framework with the feature of allowing and handling a large set of concurrent connections.

As Framework plays such an important role in development, one must choose the framework responsibly. So In this article will discuss the top 5 python frameworks:

1. Django:

Django is one of the foremost popular framework used for python. Developed and maintained by Django Software Foundation, this python-based open-source web framework was first released on July 15, 2005. Currently, the available version is Django 3.0.5.

Being a full-stack development type framework, it held a number of built-in functions available without any additional library. It follows the DRY principle to reduce the repetition of information. In Django, mapping objects to database tables are made using the Object-Relational Mapping Layer (ORM), rather than offering them as individual libraries. Django has inbuilt support for MySQL, PostgreSQL, SQLite, and Oracle Database but can also support other databases by using third-party drivers.

Features:

• URL routing
• Enhanced support for web servers.
• Authentication support
• Ridiculously fast framework
• A huge number of ready-to-use libraries.
• Extensively scalable
• Presence template engine.

To install: Click here

2. CubicWeb:

It is an open-source, full-stack,  semantic web application framework. It is licensed under the LGPL. The Cubic web was initially released in October 2008. The latest version is 3.27.0.

This framework is considered to be unique because of its ability to reuse the components (known as cubes) to build an application. Based on the data model, supported by CubicWeb, it requires to have the data model predefined in order to develop a functional application.

This ability of the CubicWeb framework makes this it efficient. The application built using this framework is considered to be efficient and reliable.

• OWL (Web Ontology Language) and RDF (Resource Description Framework) support
• Reusable components
• Security workflows
• Simplifies data-related queries with RQL (Relational Query Language) embedding
• Support for multiple databases

To install: Click here

3. Bottle:

It is a micro web framework. Developed by Marcel Hellkamp, the framework was initially released in July 2009. The latest version is 0.12.18.

Designed to be fast, simple and light-weight, and is distributed as a single file module with no dependencies other than the Python Standard Library, this is often the best suitable framework to create APIs or simple applications. This framework can also be easily used with the prototyping model and to create prototypes of the application. As this framework uses a single library, there is less complexity and it allows developers to build lightweight applications.

In-built features are:

• Routing
• Templating
• Access to data, file uploads, cookies, headers, etc.
• Abstraction layer over the WSGI standard
• A built-in development server that supports any other WSGI-capable HTTP server.

To install: Click here

4. CherryPy:

CherryPy is another open-source, micro web framework that was licensed by BSD. This framework first came into the market in the year 2002. The latest version is 18.5.0.

CherryPy is different from other frameworks because it uses the minimalistic approach to develop the application. CherryPy is the one that uses the Object-Oriented Paradigm for developing the applications, So this framework gives freedom to the developer to use different technologies.

Because of the OO paradigm, applications built using this framework comes out as efficient, reliable, and stand-alone in nature. An object-oriented paradigm also helps the application to achieve multithreading.

Feature:

• In-built tools for caching, encoding, and session authentication are available.
• Easy to operate on multiple HTTP servers.
• Flexible plug-in system.
• Swappable and customizable settings available.

 To install: Click here

5. Tornado:

One of its types, Tornado framework is an asynchronous, scalable, and non-blocking web server framework. This framework was developed by Ben Darnell initially for FriendFeed Company which was later on acquired by Facebook in 2009. Facebook then along with Ben Darnell and Bret Taylor, further developed the framework and made it open-source. Apache holds the license for the framework. The latest release is 6.0.4.

Tornado uses a non-blocking network which means that it can create as much as ten thousand of the open connections. This ability makes it suitable for applications where signals with long lives are required for various users.

Features:

• It is not based on WSGI. Instead, it runs with a single thread.
• It is integrated with standard library asyncio.
• To install: https://pypi.org/project/tornado/3.2.1/
• Whenever you develop an application, choose the framework as per the need and goal of the application.

To install: Click here

Whenever you develop any application, choose the framework as per the need and goal of the application