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Top Most Popular Python’s Frameworks Compared

Python is one of the most popular and easy-to-learn programming languages and is used almost everywhere, including web development. There are many of Python’s most popular frameworks for it. Many of them optimize development and provide tools that allow you to deploy a ready-made product in just a couple of days. Here you will find some python popular frameworks overviews.

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What is Python Framework?

Such frameworks belong to the so-called full-stack category. They’re cool, they have dozens of tools and everything is included, but these can make them heavy, slow, and inflexible. In addition to full-stack frameworks, there are others, such as micro- or asynchronous frameworks.

How to Choose the Right Framework for Your Needs

Python is an open programming language, it is easily compatible with various frameworks, the use of which when creating applications can reduce the amount of code and time spent. In addition, they can be customized for specific tasks. In addition to these seven most popular, there are many other Python frameworks. When choosing, the main thing is to understand the purpose and needs of a particular project.

Different Types of Python Web Frameworks

There you may find the two types of most popular Python frameworks:

  • Full Stack Framework
  • and Non-Full Stack Framework.

The full-stack Python frameworks give full support to developers including basic components like form generators, form validation, and template layouts, etc. Also, you may come across the terms like frameworks and micro-frameworks. All of them are revised below.

7 Most Popular Python Frameworks  with  Features Pros & Cons

Python is one of the commonly used programming languages. It is convenient; so many websites and web applications are written on it. To optimize this process, save developers’ time and effort, there are frameworks introduced for Python development. We managed to compile a selection of the top most popular python frameworks for you to choose from. Here they are.

1)    Django

Django is one of the most popular python web frameworks. It suits developers of different levels: from beginners to professionals. Django helps you save time writing code and make it more efficient.

Pros:

  • URL routing.
  • Database schema migration.
  • Working with databases: PostgreSQL, MySQL, SQLite and Oracle.
  • Web server support &
  • Using an Object-Relational Transformer (ORM).
  • The native engine of templates.

Django has a clear structure. The framework is easy to use, so novice programmers have all odds. Many features of the framework allow it to greatly simplify and speed up the work with the code. Regularly updated, it takes into account the latest versions of the language. The framework is free and open source.

Cons:

  • Due to the massiveness of libraries, there are flexibility falls.

Where is used

It is widely used in creating websites. The framework supports many formats: JSON, XML, RSS, and others (for example, The Washington Post website was created on it). And it is widely applied in the development of web applications (for example, Instagram, Pinterest).

2)    CherryPy

CherryPy is a micro framework. CherryPy is an object-oriented HTTP microframework for Python. With it, you may quickly develop web applications. It is a component of the TurboGears best framework for Python.

Pros:

  • Allows you to run multiple HTTP servers at once.
  • Availability of a flexible system of plugins.
  • Ready-made tools for authentication, caching, encoding, sessions, static content.
  • Works on Android.
  • HTTP/1.1 compliant web server with WSGI threads pool.

A simple and clear framework that is easy to use in your work. The presence of special plug-in, thanks to which you can monitor the performance of the application is a plus. The framework is free and open source. Applications developed with CherryPy run on any operating system that supports Python (Windows, macOS, Linux).

Cons:

  • Not quite suitable for solving complex multiple tasks.

Where is used

The framework is suitable for Android application development. Ideal when you need to create an application with not too long code. If there is a need to monitor application performance, it’s also worth applying.

Netflix and Hulu video services use this framework.

3)    Flask

This one is another micro-framework. Flask has a modular design. It can also be used in application development. It is convenient and allows you to choose extensions.

Pros:

  • The presence of a built-in debugger, its own server, and many templates.
  • May connect to any ORM.
  • Flask has its own Jinja2 engine, but the framework can work with others.
  • Based on Unicode.
  • WSGI 1.0 compliant.
  • Compatible with Google App Engine.

Setting up and installing Flask takes less time than other frameworks. Support for secure cookies. Built-in functions speed up development. The framework adapts quickly thanks to its modular design.

Cons:

  • The framework is used as an additional tool and is aimed at solving specific problems, so it cannot boast of wide possibilities.

Where is used

It is widely applied in creating open applications when developing backend systems. Flask was used to create the Netflix video service application.

4)    TurboGears

This is a convenient open-source Python most popular web framework used by developers to create web applications that work with data and databases.  It is suitable for both beginners and professionals. The framework is considered a great alternative to Django.

Pros:

  • Command-line elements.
  • Full-stack structure.
  • Support for Genshi, Repoze, SQLAlchemy, SQLObject, and WebOb.
  • Validation support with FormEncode.
  • MochiKit JavaScript library integration.
  • Using ToscaWidgets (this makes it easier to coordinate frontend design and server deployment).

It provides great support for flexible and powerful ORM, simple and clear PasteScript templates. Support for a large number of databases. There is an ability to extend the framework by creating plugins or adding to existing ones.

TurboGears is a very flexible framework, so it can be used as a micro-framework for prototyping or as a full-stack framework for larger projects.

Cons:

  • There are few possibilities for extensions.

Where is used

In the creation of websites (for example, the website of the Turkish version of the vocal show The Voice).

In creating databases (for example, in BisQue, a system designed for biologists to create 5D images).

Apache Allura and Kamisons are made on TurboGears.

5)    Tornado

Tornado is classified as an asynchronous most popular python web framework that, thanks to non-blocking data exchange, is capable of simultaneously supporting many user connections. It’s perfect for tasks that require a long connection with each user.

Pros:

  • It has its own authentication mechanism, if necessary, you can connect third-party ones.
  • Support for translations and localization.
  • Work in real-time.

Where is used

Uploadcare is a cloud service for working with files which is made on Tornado.

6)    Pyramid

If you need to create something more minimalistic, then you may like Pyramid. This framework is suitable for any size project. It has useful features for creating complex applications or scaling initially small sites to an increased load.

Pros:

  • Convenient tools for working with static assets.
  • Predicates and renderers.
  • URL generation.
  • SQLAlchemy support.
  • SQLAlchemy provides a comfortable database experience even for complex queries.

Pyramid has its flexibility and ease of customization. Any component of the framework, be it a database or a template engine, can be replaced. You can even use several different components at the same time (for example, connect two different databases).

There are also convenient Ajax requests available. Thanks to the system of decorators and views, you can send XHR requests without any additional effort on the part of the developer.

Cons:

  • It takes time to deploy and prepare for development.
  • To do customization, you need to be well versed in Pyramid.
  • For simple applications, SQLAlchemy can be unwieldy.

Where is used

  • In building large complex applications.
  • Ideal for developing single-file applications.
  • When scaling sites under increased load.
  • In prototyping.
  • Used in API development.
  • In testing.
  • In identification.
  • in routing.
  • In the Substance-D web application development environment.

Charte.ca is an online chart editor for non-specialists.

Easy Blog Networks is a hosting provider.

Substance-D – web application development environment. They are all made with Pyramid.

7)    Web2py

This is a special stack framework. First of all, it is good because it does not need to be installed. It can be easily launched from any device – flash drive or hard drive.

Pros:

  • Own IDEwhich with code editor, debugger, and deployment.
  • Bug tracker.
  • A backward compatibility feature that makes it possible to work with previous versions of the framework.
  • Quality data protection.
  • The source code is open.
  • Flexible & Free.

It can work on different platforms and with different protocols and does not require installation or configuration.

Cons:

  • You must be working with the latest version of the Python language.

Where is used

Web2py is designed to develop fast, scalable, secure, and portable database-based web applications.

With the help of the framework, the Instant Press platform was developed.

What is the fastest Python framework?

Based on the Techempower listing revised by Dev.to community, the fastest Python framework is now considered to be “FastAPI’. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Conclusion

There are plenty of helpful Python most popular frameworks to optimize the development process and project time to market. There are full stack and non-full stack frameworks and microframeworks for Python development.

The main advantage of full-stack frameworks is that they already have everything you need for a full-fledged application. There is no need to look for separate libraries for every small task and think about library access, request processing, and compatibility, so even beginners can quickly build a ready-made working application. For those who need their projects to be optimized and done with greater flexibility, there’s a wide assortment to choose from for their tech stack. Feel free to ask for assistance in case it turns out a hard choice.

Also, welcome with your framework suggestions here.

Top comments (1)

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Ronald Rowe

Thanks for taking the time to breakdown each framework. I enjoyed the read! 💯👊