Python is a source for developing websites and software and does task automation, data visualization, and data analysis. Undeniably, python can build incredible web applications. When we talk about Python Frameworks, Django and Flask frameworks play significant roles. These two frameworks are key to building robust websites and applications; therefore it is important to decide which is the right one to use.
In this blog, we will delve into the discussion on Django and Flask Frameworks. The demonstration will explain what the frameworks are, their features, their pros & cons, which one to choose, and when to use. The blog is a sufficient guide for the readers to let them know which one to choose for their work purpose. So let’s get started.
Table of Contents
What is Django?
Django is an open-source Python-based framework for designing agile web application development.
Key Companies using Django: Instagram, Mozilla, Udemy, Zapier, Spotify, National Geographic, Pinterest
Features of Django
- Fast: Django is extremely fast. It completes the task way faster than possible efficiently.
- Versatility: Django is a versatile framework, enabling developers to work with different platforms that vary from content management systems; such as WordPress and also to the social networking sites like YouTube & LinkedIn.
- Adaptable: Django is much more flexible to work with variation of formats, including JSON, HTML, XML, and others.
- Scalable: It is a framework that ensures scalability (a system that allows for changes and updates in different layers without much cost and effort, i.e., each layer is independent) and maintenance (the design and code are not susceptible to duplications, allowing the code to be reused and maintained properly). Django promises security by working with authentication mechanisms and process further to prevent illegal accessibility, clickjacking, cyberattacks, and other threats.
- Portability: Django is portable because it is a Python-based framework.
What is Flask?
Flask is considered a micro-framework because there is no dependence on external libraries to perform certain tasks of the framework.
Companies using Flask: Airbnb, Netflix, Reddit, Mozilla, Zillow
Key Features of Flask
- It is a lightweight and basic framework because there is no dependence on other external libraries. It quickens up the web development process for complicated applications.
- Flask serves the developer with independent or full autonomy over the development of apps. The developer can play with the architecture and libraries of the framework.
- Flask’s is integrated with a unit testing approach, which allows the developers for quick debugging, and robust development.
- Secured Cookies: The secured cookies are HTTP request attributes that provide security to channels and assure that no authorized person can access texts. Flask always supports the secured cookie functionalities.
- Flask can access to advanced and cutting-edge technologies; such as cloud computing and machine learning.
- It supports the WSGI templates, which enables the web applications enough scalability and flexibility.
- It includes a built-in server and debugger.
- Configurations that are simple and versatile.
Difference Between Django vs Flask
No wonder, Django and Flask both are useful for developing seamless web applications. Still, there are some differences you need to understand:
Parameters | Django | Flask |
---|---|---|
Type of Framework | Django is considered a full-stack framework enabling ready-to-use solutions with in-built battery usage for a better approach. | Flask is lightweight and provides plenty with no libraries and minimal to minimal features. |
Data Modeling / Working of Framework | Django provides an object-oriented approach that allows for object-relational mapping (the connecting of databases and tables with classes). | Flask employs a modular design, which enables the use of third-party libraries and extensions. |
Project Layout | Multiple-page applications suit Django. | Flask can work with single-page applications. |
Flexibility | Django is very flexible because there are some in-built features and tools exist. Developers cannot change the modules in it. | It is a microframework system having extensible libraries, which makes Flask a good and flexible framework to use for developers. |
Control | Developers are unable to control or alter the modules and functions due to their in-built libraries. | When the developers use Flask, they have full control over the application development without the dependencies of external libraries. |
Structure | Django has a better and smoother structure with convention. | The framework of Flask is a bit random. |
Usage | Django is perfect to use for end-to-end technologies and large companies; such as Udemy & Instagram. | Flask can go best with the companies, that believe in experiments with their modules; such as Netflix & AirBnb. |
GITHub Stars | 55.6K | 53.9K |
Architecture | It works on the basis of MVT architecture, segregated into 3 parts (model, template, and view.) | It is a kind of minimalistic framework that provides developers flexibility during application structuring. |
Speed of Development | Django allows us to build apps as soon as possible, but it is slower compared to Flask. | Flask is quicker than Django because of some abstraction layers. |
Maturity | It was launched in the year 2005, which is a mature framework with extensive support and communal management. | Flask launched in 2010, known as the younger framework, has a large community. |
API Support | Django does not support APIs. | Flask supports APIs. |
Working Style | Django is a sort of monolithic framework. | Flask has a diversified working style. |
Template Design | Django is the one framework, which is designed by Ninja2. At the same time, there is an in-built model to make the development easier. | Flask works on Ninja2 Template Design. |
Debugger | Django does not support any debugging virtually. | Flask itself has an in-built debugger, which is why it supports virtual debugging. |
Best Features |
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HTML | Django supports extensive HTML Pages. | On the other hand, flask does not support dynamic HTML pages. |
Django – Pros & Cons
You cannot claim one Python framework as the best one until you are aware of all the pros and cons. So here are some pros and cons of Django we are about to discuss:
Pros | Cons |
---|---|
Full-Stack Framework | Not Suitable for Small and Short-Term Projects |
Batteries-Included Concept | It is harder to master with Django and a bit complex to use during development |
Highly Scalable | There is a lack of conventions |
Comprehensive Documentations | Monolithic Work Environment |
SEO-Friendly | Limited Design Options and Components |
Cross-Platform Compatibility | Cannot handle multiple requests simultaneously |
High-Level Security | |
Rapid Development and Fast Processing | |
Excellent CDN Management |
Flask – Pros & Cons
Pros | Cons |
---|---|
It is flexible and developers have full control and access | There is no support for multi-page apps |
Good web framework for smaller and short-term projects | Flask has a lack of security features |
It is extensible | There is no built-in admin site |
It is easier and quicker to build up the prototypes | It is difficult to maintain |
Flask leads to scalability | Developers need to use extensions for object-relational mapping. |
Flask is easier to route through Werkzeug | |
It allows the developers to experiment. |
When to Use Django?
It is important to know when to use Django; so read the points to know where Django can be used:
- When you have bigger projects with certain deadlines in the pipeline.
- When you are prepared to scale up the project to a more complex structure in the future.
- When you need active online support and community.
When to Use Flask?
If you are confused about when to use Flask Framework; read to know its use cases:
- If you want to build a web app from scratch without any dependencies, then Flask Python Framework works best with the highest flexibility. It helps in developing incredible microservices.
- Using Flask is the best choice for developers to build static websites, rapid prototypes, RESTful Web Services, and MVPs.
- It is good to use Flask where you can build applications with serverless computing, and also with the use of clarified SQL queries. Moreover, the developers will have a granular level of control over every possible thing.
Django vs Flask – Which Is Better?
Flask vs Django; which is the right Python Framework to Choose? The question is striking in everyone’s head. By the way, all the web app ideas require Django and Flask according to the requirements of web app development. Still to know which one is better; you need to know better about both frameworks.
Django is a full-stack framework. On the other hand, Flask is one micro-level and lightweight Python framework. There is not one framework one can choose and claim to be perfect, because both frameworks are good to go at certain states and requirements.
When it comes to choosing one Python framework for their project, make sure you first evaluate your own needs, requirements, and goals. Evaluating own preferences will help to find the right framework to use.
Django is more sophisticated and result-oriented to build incredible web apps. So choosing Django is more beneficial with its wrestling framework features and functionalities.
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Frequently Asked Questions
1. Is It Flask or Django; Which is Much Easier?
Flask is much easier with a simpler curve to navigate.
2. Which is The Right Framework to Choose – Flask or Django?
First, your requirements and web app type will help to select the appropriate Python framework. Considering here one to choose; rather prefer to opt for Flask. It is easier to learn and experimental to try new things.
3. Why Flask is More Preferable Compared to Django?
In Django, there are in-built libraries that do not allow the developers to have control of the modules. Moreover, it is not customizable functioning. On the other hand, developers who use Flask have all-over control over the application development without the use of external libraries. Additionally, Django does not provide support for virtual debugging.