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As we know that Python is simple, versatile and it fits for all-purpose in areas such as web app development, DevOps, data science, and more. Many fortune 500 companies including, Netflix, Instagram, and Dropbox consider using Python because they have highly loading sites that process millions of user requests per day and Python helps them sustaining their top-notch performance. To make the most of these frameworks, you must consider Python web framework that provides a clear structure to developers throughout the planning, cross-site scripting core logic, designing, and development, so that they can focus on the logic rather than other unnecessary elements of programming.
What Are Python Frameworks?
Before moving on to python frameworks, we have already discussed, What is Python used for?
So basically, frameworks are a collection of modules or packages which help developers in writing a web app in Python. When they choose the Python web framework, they don’t have to concern about the low-level facts, for example, protocols, thread management, and/or sockets. Frameworks automate the performance of basic solutions that provides developers the adaptability to concentrate on the logic of application instead of the general routine processes. Basically, frameworks give web developers the freedom to develop a structure by providing common patterns for app development that are quick, consistent, and effortlessly maintainable. These frameworks also cut down the development time and enable developers to be more focused due to simultaneous processing and strong typing. The web framework in Python has the higher-order abstractions and meta-programming potential to develop large and complicated systems and having a variety of libraries for doing approximately anything.
Let’s take a look at a few of the operations involved in web apps that are using web frameworks for Python:
- URL Routing
- Input form validation
- Output formats along with template engine
- Database connection
- Web security
- Session storage and retrieval
Today, there are various types of Python frameworks available in the market for creating web applications in Python in the easiest way possible. Now, you must be thinking, how to choose a suitable Python web framework for your project. Well, the selection needs to be made on the basic requirements of the project and the preferences of the developers.
Types of Python Frameworks
When we talk about Python Frameworks, there are basically three types of frameworks, that is a full-stack framework, micro-framework, and asynchronous framework. Let’s take a quick look at each of them.
1. Full-Stack Framework
These types of frameworks are known as one-stop-solution for fulfilling all kinds of development requirements. There are various components that are commonly included in the full-stack framework such as – form validation, form generators, and template layouts. The well-known frameworks of this type are –
- Pylons Framework
These types of frameworks are known as lightweight frameworks (non-full stack frameworks) because they do not offer additional features and functionalities compared to a full-stack framework, such as database abstraction layer, form validation, specific tools, and libraries. The developers who want to use this kind of Python web framework, must put a lot of effort are coding and also need to add additional requirements manually. Frameworks of this type are –
3. Asynchronous Framework
The asynchronous framework is now taking over its place as a microframework that allows developers to handle large sets of concurrent connections. Characteristically, an asynchronous framework is mainly built for Python which uses the programming language’s asyncio library.
Things to Know Before You Consider Any Framework
There are certain things you need to consider before choosing a web development framework for your web application. First of all, you need to look at the size and complexity of your project. Based on this analysis, if you are planning to develop a large system filled with lots of requirements and features, a full-stack framework will be the right choice. On the other side, if you are planning a small and simple app, you should think about a microframework.
Secondly, you need to check if the framework you are choosing is up to the mark and perfectly fit for your project. This is an important step to remember while choosing the framework for the projects run on several servers, handle vast amounts of traffic, and support new additional features to excel functionality.
Advantages of Using Frameworks of Python
- Code reusability
- Easier implementation
- Good documentation
So, now you know what you want and what type of framework you need to choose for developing Python web application based on Python. To help you out we have listed the top 7 frameworks that you can compare and check out the features for your next project development.
Top 7 Python frameworks you should consider
If you want to compare the functionalities and features for the project you are going to develop, these top 10 frameworks in python will help you identify the right one for you. Let’s look at them in detail and choose the best one of them.
The Django framework is one of the most favorite web development frameworks for developing Python applications. One major reason for its popularity is, it is an open-source and free-to-use full-stack Python framework including a variety of built-in features rather than just offering individual libraries. Python web development with Django framework is based on the “Don’t Repeat Yourself” (DRY) principle. Django Python web development uses its ORM (Object Relational Mapper) for mapping objects to database tables which allows the code to work across various databases to make it easier to migrate from one database to the other. Despite the fact that Django Python frameworks provide inbuilt support for various databases MySQL, SQLite, PostgreSQL, and Oracle, it also supports other databases as well via third-party drivers. Apart from these features, Django extremely reduces development time.
Features of Django
- A versatile and pleasant ORM,
- Ability create and apply migrations automatically
- Skeleton for automatic generation of admin panel
- Support for authentication, sessions, cookies, web servers, etc.
- Automatic security features such as XSS and/or CRSF prevention
- Works well with all databases out there in the market
- Outstanding support for Geographical data and spatial queries through GeoDjango
- An overloaded ready-to-use libraries
Overall, the framework is a full-blown and friendly, and one of the popular web application framework for Python. Based on the above-given points you can definitely consider this framework.
Flask is another well-known and popular Python framework that comes under the Microframework category and comes with the BSD license. It is inspired by the Sinatra Ruby framework; the microframework needs the Werkzeug WSGI toolkit and Jinja2 template. Due to its modular and lightweight design, it is promptly adaptable. Flask is a framework of Python that allows the developers to build a genuine web app foundation from where they can use any kind of extensions needed. The other benefit of using this framework is it is compatible with Google App Engine. Still, depending upon what your goals are and what kind of Python web application you want by choosing components of your choice, Flask is a blessing.
Flask framework offers the following features:
- Routing, templating, session management, etc.
- Complete support for unit-testing
- Inbuilt development server
- A minimum, pluggable architecture
- First-class REST support
- Support for Blueprints
- Plugging in any ORM and secure cookies
- Flexible application structure
- Static file serving
- WGSI compliant
- Built-in fast debugger
- HTTP request handling
- Jinja2 templating
- Unit testing support
- RESTful request dispatching
The Hug is a Python 3 API development framework that allows Python developers to develop an API and then they can use it whenever they want to. This framework simplifies API development as it offers multiple interfaces. It is also considered as the fastest web frameworks in Python if you are using Python 3. Hug lets developers complete app development easily and in a faster way to do local development, over HTTP, or via the CLI. To take the app performance to the next level, Hug uses resources only whenever it is needed and uses Cython for compilation.
The Hug framework has little integration and developers need to code as little as possible, remain functional, and provide high performance. On top of that its community is still growing on and the demand in the market is increasing and whenever a problem occurs, a developer can find help anytime they need help.
Key features of Hug:
- Annotation-powered validation
- Follows write once, use anywhere philosophy
- Built-in version management
- Supports automatic documentation
- Built-in version management
- Compliance with Cython
- Ability to use as a Python library
The Bottle is one of the most used Microframework that developers use to build various applications in Python. It does not have any dependencies, as an alternative, it contains only one Python standard library. Also, it is distributed as a single file module. One of the key features of this framework is that it allows developers to perform closer to the hardware. This framework is perfectly suitable to develop and build simple personal apps. This small, powerful framework is ideal for programmers looking for flexibility and basic functionalities to build simple applications and websites and creating a Python rest API framework. Another advantage of using Bottle is that its small profile makes trouble-free to embed it within a larger app without worrying about system-wide requirements. If you want to create small apps with a clean, simple, and fast framework that is not full of words.
Key features of Bottle:
- Built-in fast template engine
- Supports Jinja2, Mako, and Cheetah
- Built-in HTTP development server
- Support for dynamic URLs
- Plugin support for different databases
- Third-party HTTP/WSGI servers and template engines
- Support for file uploads, headers, and cookies
- No external dependencies
Just like Django, CherryPy also comes under open source frameworks that mainly uses the object-oriented paradigm and comes with its own HTTP/1.1-compliant WSGI multi-strung Python web servers for developing web apps in a short period of time. Developers can build standalone applications with this framework that has their own multi-threaded web server. The core advantage of using this framework is that you can run applications on all Python-supported OSes including Windows, Mac, and/or Linux/Unix. This Python framework allows developers to quickly develop a smaller source of codes. It offers a module framework and setup framework that makes things easier for data access, files, uploads, templating, and handling of sessions. In addition, it provides built-in support for documentation tasks such as coverage, testing, and profiling. The core advantage of CherryPy is developers can run multiple HTTP servers simultaneously. Not only this, this framework for Python includes tools for default encoding, caching, and authorization. If you want a framework in Python that is super fast, super stable, and super reliable, then you can trust on CherryPy.
Feature checklist for CherryPy:
- HTTP/1.1-compliant WSGI thread-pooled web server
- Multiple HTTP Server Support
- Powerful Configuration
- Flexible Plugin
- Faster development time
- Android Compliant
Dash is also an open-source Microframework that is exclusively designed for developing analytical web apps. This framework is known as the data scientist’s favorite tool because it is built on Flask, React, ReactJs, and Plotly.js and does not demand much knowledge of the technicalities of Python with web development.
Dash allows you to create cross-platform compatible and mobile-ready web apps. If you are using this Python framework, it has two parts, one is a layout that describes how the appearance of the app will be like and another is functionality that describes its interactivity with the users. Dash provided a great number of customization options to make it simple to build PythonIt dashboards. Its straightforward interface is useful in representing UI controls on value property like dropdowns, graphs, and sliders. This framework of Python also facilitates HTML classes to create HTML content.
Key features of Dash
- Simple UI
- Low Demand for Boilerplate Code
- Error Loading Layout
- LDAP Integration
- Plugin Support
- URL Routing
Falcon is one more widely used Python framework that is aimed to build quick web APIs. Unlike other Python frameworks that need lots of dependencies for building HTTP APIs. Falcon enables developers to develop pure design applications to improve and modify the existing that allows HTTP and REST architectures. Falcon is a framework that is capable to handle most requests with the same hardware compared to other all its contemporaries. Big players like LinkedIn, OpenStack, and RackSpace are using Falcon for their platforms.
Key Features of Falcon:
- An extensible, highly-optimized code base
- Accurate and efficient response for HTTP errors
- Extra speed boost with Cython support
- Idiomatic HTTP error responses
- Unit testing via WSGI helpers and mocks
- Upfront exception handling
- REST-inspired resource classes
- Idiomatic HTTP error responses
- Additional speed boost with Cython support
- Middleware components and hooks
- DRY request processing
- URI templates offer intuitive routing
Looking at the above-given details, you need to choose the right framework depending on the size of the project and communication needs (whether it is an individual app or not), the level of customization that is required, and a number of other aspects. It also depends on the developer’s personal choice, working style, and comfort for coding. Compare the features of the above-given frameworks and choose the best suitable for your project. You can also compare the other frameworks that are available in the market before planning and taking major decisions for development. At Monocubed we will help you choose the best suitable Python framework for your project based on your requirement. Contact our experts now, if you want to develop a successful project.
Frequently Asked Questions
1. What are the frameworks in Python?
Web-application framework for Python is a collection of elements and modules that allows web developers to write web applications with Python and/or services without having low-level details such as sockets, process/thread management, and protocols. As we have discussed in this article, there are primarily three types of Python frameworks for web development, namely full-stack, micro-framework, and asynchronous which are considered as the best web framework for Python.
2. Which framework is best for Python?
Choosing which web application framework is best for your web application with Python depends on the project requirement, developer’s choice, and comfort. When you choose any Python frameworks for Rest API you need to check the size of your project and the elements you require for building web app with Python.
3. How many Python frameworks are there?
As we have mentioned there are three types of popular web frameworks for web development, namely full-stack, micro-framework, and asynchronous which businesses consider to build web application with Python.
4. What is the Django framework?
Django is a high-level web framework that helps developers for quick development and clean, realistic web design. It also takes care of most of the hurdles of web application development, so that developers can focus on coding without any hassle. This is also the most popular Python framework for web development. You can check out the key features of this web application framework mentioned in this blog.