Python is one of the popular general-purpose, high-level programming languages. It is used for desktop GUI applications, web sites, and web applications. In this blog, we will talk about different Python frameworks.
A Python framework is a set of web software modules that automatically implement basic solutions to focus on the application logic instead of dealing with the basic process. Python frameworks help developers to automatically reduce the development time. One of the advantages of this programming language is that it has a wider range of frameworks. We know that selecting the best match for your project can be a daunting task.
In Python, every framework has its own set of benefits as per the varied needs of your project. But before going forward with different frameworks, let’s first get a clear understanding of the types of Python frameworks.
Types of Python frameworks
There are 3 primary types of python frameworks that exist.
- Full-Stack Framework: The full-stack framework offers the basic component structure for various web solutions, i.e. frontend, backend, and database. If you want to build a wide system with many features, a full-stack framework is what you are looking for.
- Micro Framework: It is a light-weight framework with no additional features or functions. If you need to add huge quantities of code and additional specifications manually, a micro framework will come in handy.
- Asynchronous Framework: It is also a micro-framework that allows you to manage a wide range of parallel links. This type of framework is primarily built for Python utilizing the Asyncio library.
Top 10 Python Frameworks
Here are 10 of Python’s frameworks with their specific sets of features.
1. Django (Full-Stack Framework)
Django is a high-level Python framework that is free and open-source and is unbelievably fast. It allows developers to work on complex codes and apps with ease and with flexibility. It simplifies the process of designing web apps by using innovative designs. Django supports PostgreSQL, Oracle, MySQL, and SQLite databases.
- Provides support for cookies, templates, etc.
- Security features like XSS prevention and CRSF
- Practically works with all databases.
- First-class support for geographical data through GeoDjango.
2. Pyramid (Full-Stack Framework)
This is one of the most popular Python frameworks. Its main role is to develop less complex applications. It includes a wide range of resources to expand its capability as needed. Pyramid also makes sure that access control records are created and screened. This framework is highly recommended for mapping coded URLs that allow developers to build RESTful APIs without much effort.
- Smooth development of single-file applications.
- URL generation and extendable configuration.
- Alterable authentication and authorization.
- Asset specifications and templating.
3. Quixote (Micro Framework)
Quixote is clearly one of the highly-efficient python frameworks. Its main objective is adaptability and better performance. It helps programmers to use traditional techniques. Quixote provides a simple and flexible design with session management API.
- Enables developers to develop open-source projects.
- Uses WSGI libraries.
- Supports Jinja 2 Templates.
- Allows traditional technologies.
4. Sanic (Asynchronous Framework)
It is one of the basic python frameworks. It offers fast HTTP responses by asynchronous request handling. Sonic enables the use of the async and awaits syntax included in Python 3.5 that makes the code a lot faster and simpler.
- Provides plugin support.
- Includes class-based views.
- Able to write and read cookies.
- Allows various types of logging like error log and access log.
5. Pylons (Micro Framework)
This is an open-source web application Python framework. It uses the Web Server Gateway Standard to facilitate reusability and divide functionality into different modules. Pylons is a common protocol between the Web servers and Web applications. It provides a scalable lightweight platform for the implementation of modern web applications.
- URL dispatch.
- Text-based templating.
- URL mapping based on routes configuration via WebHelpers
- HTML form generation and validation.
6. Ray (Micro Framework)
This framework is good for creating RESTful APIs. It is fast and easy to create and best for running distributed apps. It also allows for hook validation at any point in developing apps. Ray also contains libraries that enhance the learning and advancement of the development of deep learning.
- Supports Query String.
- Built-in authentication assistance.
- Acts as a Shield for HTTP method.
- Similar to backend server operations.
7. TurboGears (Full-Stack Framework)
Turbo Gears is an open-source, data-driven Python framework. Requiring minimum configuration, this framework intends to reduce the errors of other common Web development frameworks. It helps developers to build data-rich web apps. It also provides programmers with a platform to rapidly create web apps powered by data. Even a single file application can be built using this framework.
- First-class support for multiple databases.
- Highly modular with a powerful ORM
- Pluggable architecture based on the WSGI specification.
- Built-in support for database sharding.
8. CherryPy (Micro Framework)
This is an open-source web application framework and is supported by Windows, Unix, Linux, and macOS. It consists of a multi-string web server, module framework, and arrangement framework. This Python framework also provides other coding, reservation, and approval instruments.
- Easy to run multiple HTTP servers all at once.
- A powerful configuration system with built-in profiling, coverage, and testing support.
- A flexible plugin system.
- Runs on Python 2.7+, 3.5+, PyPy, Jython, and Android.
9. Muffin (Asynchronous Framework)
Muffin is a fast, simple, and asynchronous web-framework developed for Python 3. Instead of SQLALchemy ORM, it uses PeeWee ORM.
- Supports URL routes
- Uses PeeWee ORM
- Easy to use
- Simple & Fast
10. AIOHTTP (Asynchronous Framework)
AIOHTTP is asynchronous and includes features such as async/await. Python’s asyncio library is leveraged by this framework. In addition to being a web framework for the server, it can also be a client framework if needed.
This framework allows the routers to pass requests to functions that can manage them.
- Supports HTTP servers.
- Web servers of pluggable routing and middlewares.
- The effective building of views.
In this blog, we tried to cover 10 major python frameworks. There are many python frameworks that are popular and in-demand. Each with its own set of advantages and disadvantages. Make sure you check out all the options before starting out with your project.
Also, if you’re looking for a reliable web development company that can understand your needs and provide you with the right solutions, then you are just in the right place. Contact us to know more.