Best Top 5 Frameworks of Python

Python is the most prominent programming language implemented in web development, game development, scientific computation, data analysis, RPA development, machine learning, artificial intelligence, internet of things; web scraping, cloud computing processes, desktop GUI development, and enterprise applications. It has numerous frameworks that are categorized into three types such as micro-framework, full-stack framework, and asynchronous framework. A framework is a container of multiple modules and packages that support faster application developments and data science processes. Here, we have shortlisted five of the popular frameworks that should be learned by python developers in 2021 to implement in various projects of top companies.

Django

Django follows the DRY (Don’t Repeat Yourself) principle and it is a fast, versatile, and scalable framework that consists of important properties such as routing, authorization, template engine, database schema migration, an object-relational mapper. It is available for free and open-source with innumerable functionalities for easier web development. The Django ORM (Object-Relational Mapping) is used to map the objects with database tables and it works well with database applications such as Oracle, MySQL, PostgreSQL, SQLite, and other third-party drivers.

Django framework allows the developers to build small to complex web applications and MVPs along with machine learning processes. Python Django follows MVC-MVT architecture to simplify the implementation of web development. Django is used in top firms like Instagram, NatGeo, Mozilla, Spotify, and Pinterest for handling various processes. The learning of Django brings a promising future for the learners with good career development.

Pyramid

Pyramid is a popular framework that aims to develop any complicated application with minimum complexity and it can be applied to any size of the application. It utilizes predicates and renders to specify the location of the packaged asset. Pyramid enables URL generation and it is the framework that can be swapped mutually between template engines and databases. It offers extensive testing support and flexible tools for developing applications with secured authorization and authentication.

Pyramid has XHR views and function decorators to send Ajax requests easily. It helps the developers to build applications with fun as it brings predictable and productive results. The significant features of the Python Pyramid are quality measurement, Templating, security management, HTML structure generation, and comprehensive documentation. Pyramid supports the SQLAlchemy library for facilitating the interaction between python programs and databases. It is a general and open-source framework used for any web application development and some of the popular applications are Mozilla, NiteoWeb, SurveyMonkey, AppEnlight, Cornice, ClueGun, and TravelCRM, and so on. Learn Python Pyramid to develop complex web applications easily.

TurboGears

TurboGears is developed based on the ObjectDispatch approach and it is a popular web framework that allows the developer to build small to concise applications with micro-framework mode and complex applications with full-stack mode. It is used mainly for data-driven web application development along with extensive documentation. TurboGears provides MochiKit JavaScript library integration through scalable features that can be implemented as functional decorators and multi-database support.

TurboGears enables easy coordination between front-end and server using ToscaWidgets and it follows MVC Architecture along with validation support through FormEncode. It uses Pylons for web server development and it has numerous command-line tools and PasteScript Templates for modular development. TurboGears consists of WSGI components that are WebOb, SQLAlchemy, Genshi, and Repoze. It is used by SourceForge, Noodle NG, StreetViewIndia, IMH (meal planning website), Moksha, Rosenberg NMS, and 1000 Corks.

CubicWeb

CubicWeb follows OOPs design for making the web application development more efficient and simpler for reading and debugging. It is a semantic-based Python framework available under the LGPL license. It has reutilizing components called cubes for enabling developers to build web applications faster with quality. It makes easy data-related queries with Relational Query Language (RQL) that offers a simple syntax for managing data repositories, view attributes, and relationships, and relationship queries.

It has specialized features that can be applied for LDAP directories, security workflows, and Web Ontology Language, reliability of storage backends and SQL databases, and semi-automatic mechanisms for XHTML/XML/Text Generation/JSON commands. It is used by familiar websites such as fan2sport, musees, semweb, le10sport, and idftransport, and so on. The knowledge of the CubicWeb framework is useful to build web applications with reusing components.

CherryPy

CherryPy facilitates developers to build web applications with fewer source codes in less time through the support of OOPs concepts. It is a quick and stable web development framework that employs a multi-hung server along with promising capabilities like file uploading, session handling, cookies, static contents, caching, encoding, and authentication, and so on. It will run on various HTTP servers and multiple ports at the same time and it has a robust configuration system for testing, profiling, and coverage that makes easy deployment of quality products faster.

It can run on various platforms and it helps the developers to deal efficiently with error-handling, streaming for a response, Restful-Style dispatch, response timing, signals, web server security, multiple HTTP server support, WSGI availability, WebSocket of ws4py, database applications like ORM, SQLObject, and SQLAlchemy, HTML Templating support, and application testing processes. CherryPy is a minimalist Python web framework used by top platforms such as Netflix, Hulu, and Indigo Domotics with major implementation for the internet of things. The study of the CherryPy framework is useful for developing web applications faster and reliable.

Endnote

Python frameworks such as Flask, Bottle, Falcon, Dash, Web2Py, FastAPI, and Tornado are also popular for implementing various features in Python web application projects. It requires in-depth knowledge with the best hands-on exposure for implementing projects of top companies. Learn how to determine and analyze the necessity of frameworks as per the project requirements by enrolling in our Python Training in Chennai at Softlogic.