By - Jan 01, 1970
As technology continues evolving with each passing day, the need for fast, efficient, powerful, and reliable programming language increases simultaneously. Python has created a market with its developer-friendly robust libraries and frameworks in the last few years. Python is a very convenient programming language for web developers regarding the reusability and reliability of the codes written on it and the extensive community support. Whether you are creating a small-scale project or an enterprise-grade software application, the vast range of Python frameworks and libraries will be helpful in both cases. Additionally, Python’s compatibility with web development, Machine Learning (ML), Artificial Intelligence (AI), and big data, make this language a favorite for developers.
What’s In this Article?
- What are Python Frameworks?
- Benefits of Python Frameworks: Why should You use Python Frameworks?
- Top 10 Python Frameworks for Web Development Projects
- How to Choose a Python Framework for a Project?
- Conclusion
What are Python Frameworks?
Python frameworks are the modules that make development more convenient and time-efficient for Python developers. Using top Python frameworks in development works allows programmers to automate the implementation of different tasks, reduces redundancies, and helps programmers structure their development process. Developers also can reduce the development considerably by using the Python framework modules.
There are three kinds of Python frameworks:
Full-Stack Framework: The Full-stack framework, also known as the enterprise framework features in-built libraries and helps create front-end interfaces and back-end systems. These frameworks contain all web development requisites like template layouts, generators, and form validations.
Micro Framework: Micro frameworks are Python frameworks with limited functionalities, hence programmers are required to put in additional manual effort with these frameworks. With their limited features and thus the restricted development scopes, these frameworks are mostly used for minimalistic development.
Asynchronous Frameworks: The latest addition to the Python frameworks networks, these frameworks are used to build and manage sets of concurrent connections via their asyncio library.
Benefits of Python Frameworks: Why should You use Python Frameworks?
While working on web development projects, developers often need to rewrite several redundant functions and codes. The reusability of Python frameworks allows developers to reuse similar codes for different purposes. Hence, developers get to utilize their time better for complex components rather than working on repetitive tasks. These open-source frameworks also allow programmers to code integration and implementation easily.
A few key benefits of Python Web Development are:
- Reusability
- Cost Efficiency
- Time Efficiency
- Reduced Redundancy
- Easy Integration
- Easy Implementation
1. Flask
Flask is one of the most popular Python frameworks, famous for its developer-friendly, lightweight, and flexible components. The applications created on Flask are robust, highly adaptable, reliable, and easy to deploy. This micro framework allows developers to build dependable applications where any extensions are to be implemented.
Notable Features:
- Google App Engine Compatibility
- Superior Python Unit-testing features
- RESTful request dispatching
- Pre-Built Debugger
2. Django
Django is a popular full-stack Python framework that is free to use and comes with a wide range of built-in features and individual libraries. This framework uses ORM for database tables and mapping objects. The codes written on this framework can be used across multiple databases and can be migrated easily.
Notable Features:
- Built-in, ready-to-use libraries
- ORM or Object-Relational Mapping
- URL routing
- Database Migration
3. Giotto
Giotto is a full-stack Python Framework, based on the Model View Controller (MVC) pattern. This framework separates the Model, View, and Controller components for the programmers and system admins to work independently. By containing a controller module, this Python framework allows developers to build applications on top of the web, Internet Relay Chat (IRC), and command-line.
Notable Features:
- Jinja2 features for HTML Templates
- Pluggable Controllers
- CRUD patterns
- Auto URL routing
- Generic Models and Views
- RESTful interface
4. CherryPy
CherryPy is an open-source, object-oriented, micro framework based on a minimalistic design approach. As one of the oldest and most popular Python frameworks, CheeryPy offers a vast range of resources to developers. Embedded with multi-threaded servers, the applications created using this framework are easy to deploy and tend to have an easy execution process.
Notable Features:
- Built-in Flexible Plugins
- Object-Oriented Approach
- Reliable Configuration System
- Responsive
- HTTP WSGI compliant
5. Falcon
Falcon is a rapidly growing Python micro-framework, optimized to build high-speed APIs. This framework, unlike most other Python frameworks, allows programmers to build HTTP and REST architectures without having to rely on multiple dependencies. Additionally, this framework also provides other useful features like middleware support, request and response validation, and efficient routing.
Notable Features:
- High-performance APIs
- Idiomatic HTTP error managing
- Heavily Optimized Codebase
- WSGI helpers and Mocks for Unit Testing
- Cython Support for extra speed
6. Bottle
Bottle is a lightweight, microframework, originally created for building APIs. This framework is an ideal choice for creating small web applications without having to rely on dependencies other than standard Python libraries.
Notable Features:
- Built-in HTTP server
- Good Plugin Support
- High Speed and Flexibility
- Apapter support for WSGI and HTTP servers
- Template and Routing
7. AIOHTTP
AIOHTTP is a high-performing asynchronous framework, operating based on the asyncio library. This framework is heavily reliant on the Python 3.5 features. The asynchronous features of Python programming, this framework enables developers to build responsive, high-performing, and efficient applications.
Notable Features:
- Both Client and Server Solutions
- Enables non-blocking I/O operation
- High-performing and responsive
- Python 3.5+ awaits and async features
Python is selected as their ideal development choice by senior developers and data scientists quite frequently. As mentioned above, there are multiple Python frameworks available in the market with a wide range of useful features and benefits. However, you need to have a clear understanding of your project’s goal, objectives, and limitations to choose the right framework for your project. You will need a full-stack framework if you are planning to build a large-scale project. However, microframeworks will be your ideal choice for smaller project requirements.
Conclusion: There are several other Python frameworks out there. Hence, it is not easy to choose any particular framework for your project development. Choosing the right framework is rather dependent on having the right resources, your project goals, limitations, and your developer’s expertise. However, hiring an experienced Python developer can help you create a successful project.
You can hire an experienced Python developer with adequate skills for your team. They will help you choose the most suitable framework as per the requirements of your development project without hassle.
