Article updated October 2026: current versions (Django 6.1, Flask 3), asynchronous views, the official MongoDB backend for Django and a comparison with FastAPI.
When starting to develop a web application it is essential, in addition to analyzing the functional requirements, to choose the programming language and framework. As far as programming languages are concerned, the choice is vast and can be influenced by several factors. Certainly the skills of the developers can tip the scales towards one choice over another. Other factors may include the client’s particular requirements, the characteristics of the environment in which the application will operate, or the use of existing software.
If you are a Python developer, or a lover of this language, the choice will not be so difficult, barring the constraints mentioned above. At this point, the Hamletian doubt is: which Python web framework to choose? As usual in engineering, the answer is: it depends! Over the years, in fact, many web frameworks have been born. Some of them have become popular, others have remained niche, while still others have been abandoned after a while.
According to the Python Developers Survey by JetBrains and the Python Software Foundation (2024 edition, published in 2025), Django (35%) and Flask (34%) are still among the most used Python web frameworks, together with FastAPI, which has meanwhile moved to first place (38%). The success of Django and Flask is partly due to mature communities and broad support. Their goal is to provide the basic scaffolding of the application, leaving the developer to build the specific features. The difference between the two is how they reach that goal.
In this article, we will look at the main features and differences of Django and Flask to identify the framework that best suits the needs of a web application.
Philosophy
Django and Flask are both free, open-source, Python-based web frameworks.
Django was born in the fall of 2003 from the idea of Adrian Holovaty and Simon Willison. The goal was, and still is, to simplify the process of website development. Therefore its philosophy is based on the Model-Template-View (MTV) model, a variant of the Model-View-Controller model. The development is therefore fast, with the possibility of reusing several components already present in the framework. The partitioning into 3 components (Model-Template-View) also allows you to divide the work between the various members of a development team as well as obtaining a clean and well-structured code. Django development is continuous and a new version is released roughly every 8 months (the latest is Django 6.1, August 2026), with an LTS release every two years that gets extended support (currently 5.2). Despite this, compatibility with previous versions is maintained as much as possible.
Unlike Django, Flask is a microframework. Born as an April Fool’s joke by Armin Ronacher, it has achieved unexpected success. It is mainly based on two solutions, Werkzeug (a server framework) and Jinja2 (a template library), already developed by Armin Ronacher. Its first version was a zipper file, called Denied Framework, that was automatically unzipped by the installer, which ran the two libraries at the same time. Flask’s architecture provides out-of-the-box URL routing, request and error handling, templating, cookies, unit test support, a debugger, and a development server. Compared to Django, however, it does not provide some typical web application features, including an ORM and authentication and permissions management. It is left to the programmer to choose how to customize the application using ad-hoc code or third-party libraries.
Main differences between Django and Flask
Let’s analyze the main differences between Django and Flask, to better understand which framework is more suitable for project development.
The first major difference between the two frameworks is the data model management. Django provides its own Django ORM (Object-Relational Mapping), while Flask does not. Data models, especially when working with relational databases, allow developers to connect database tables with programming language classes. This way, the programmer will use the functions associated with the classes to access the database without necessarily having to write the corresponding SQL commands. This greatly simplifies the code, although it can be limiting in some cases. But why doesn’t Flask provide an ORM since almost all applications interface to a database? It’s Flask’s philosophy. The developer is free to choose how to interact with the database without any imposition from the framework.
Another significant difference is Django’s use of the Model-Template-View model, an aspect that is not present in Flask. As mentioned earlier, the use of this model allows programmers to partition the development process by making the code structure cleaner and more well-defined, and improving development time. Flask, on the other hand, gives the developer the freedom to choose how to structure the code. This means that the development team must decide beforehand how to structure the project and define guidelines for good programming.
For these reasons, Flask is usually chosen for small and medium sized sites, such as forums and personal blogs, for prototypes or for single page applications (SPA). Django, on the other hand, is perfectly suited for large projects such as e-commerce sites, CMS and enterprise information systems.
Let’s go over the differences in more detail.
Database
As mentioned, Django includes a powerful ORM that supports the main relational databases (SQLite, PostgreSQL, MySQL, MariaDB and Oracle) and manages schema migrations. Thanks to models (Python classes) it is easy to create forms and views, which makes the framework ideal for applications performing CRUD operations (Create, Read, Update, Delete). For very complex queries the ORM can be limiting, but you can always write raw SQL. For MongoDB, since September 2025 there is the official Django MongoDB Backend, developed by MongoDB, which has replaced unmaintained projects such as Django MongoDB Engine and Djongo.
Flask, on the other hand, gives you complete freedom on how to handle the data. Despite this there are several libraries available. For relational databases you can use for example Flask-SQLAlchemy, while for MongoDB Flask-PyMongo.
In conclusion, if the project uses a relational database, Django is the most convenient choice because the ORM greatly simplifies the work. With MongoDB you can now use the official backend, which supports models, admin and authentication; you should still check that the third-party libraries you need are compatible.
On the other hand, with Flask you have the freedom to choose the ORM or ODM (Object Document Mapper) that best suits your needs. The price of this freedom is a steeper learning curve and greater risk of introducing errors.
Auth
Most web applications require user authentication and permission management, that is, what each user is allowed to do. Django provides both, together with account and session management. Flask only provides cookie-based sessions; for accounts, authentication and permissions you use extensions such as Flask-Login or Flask-Security-Too (the successor of Flask-Security).
Admin
A much appreciated feature of Django is the administration panel. It is nothing more than a web application already included in the core framework that allows you to quickly perform CRUD operations on your models. The whole thing is quite configurable with just a few lines of code. Again, Flask does not provide anything similar. One possibility is to use the Flask-Admin extension. This library supports a number of database backends, such as SQLAlchemy, Peewee, MongoEngine, and PyMongo, which can be extended with your own backends.
Routing and Views
Both frameworks allow you to map URLs to views, which are based on functions and classes.
In Django, URL and view definitions are done in separate urls.py and views.py files, respectively. When a request matches the definition of a URL, the request object, which contains the HTTP request information, is passed to the corresponding view. The view will implement the related business logic and take care of invoking the rendering of the correct template. Please refer to the official documentation for more details.
Compared to Django, the request object is global in Flask, so you can access it much more easily (as long as you import it). URLs are generally defined along with the view (via a decorator), but they can be separated in a centralized location similar to the Django model.
Forms
Django provides integrated forms management. This includes input handling, client and server side data validation. Various security issues are also addressed including cross-site request forgery (CSRF), cross-site scripting (XSS) and SQL injection.
As with other features, Flask does not support forms by default. However, you can use the Flask-WTF extension that integrates WTFormss into Flask.
Reusable Components
Since both projects are based on Python, you can structure your applications in a way that reuses the implemented components.
Django uses the concept of apps. Using the django-admin command, you can have the framework create a basic app structure. The app will have a well-defined structure to house the view code. Just add the urls.py file and the templates folder to properly manage the views and the page rendering.
Flask uses the concept of blueprints instead. They are much simpler and easier to use. Obviously their simplicity implies more effort on the part of the programmer to manage and implement the functionality associated with them.
Templates and static files
Templates are html files inside of which you can inject some dynamic information generated by the backend. Flask uses Jinja2 by default, while Django has its own engine to render templates. The syntax and feature set between the two modes are very similar.
Both frameworks also have support for handling static files. Django also provides a command to collect all the static files used by the various components and save them to a predefined location, which is useful for putting the application into production.
Asynchronous Views
Django has supported asynchronous views since version 3.1: you just define them with the async keyword. Since version 4.1 the ORM also offers asynchronous methods (such as aget() and acreate()), while sync_to_async lets you call synchronous code from an async function. Flask has also allowed async def views since version 2.0, but it is still a WSGI framework: each request still takes up a worker, so it is not ideal for many concurrent connections.
Another possibility to execute asynchronous tasks is Celery. This library allows you to create even a very complex asynchronous task execution service. Integration with Django is highly supported and documented.
Security
Django has built-in protection against a number of possible attacks including:
- Cross-site scripting (XSS). XSS attacks allow an attacker to inject client-side scripts into browsers. Django templates protect your application from most XSS attacks.
- Cross-site request forgery (CSRF). CSRF attacks allow a malicious user to perform actions using another user’s credentials. Django has built-in protection against most CSRF attacks. For example all submissions of data from forms must include the csrf token to be accepted.
- SQL injection. It is an attack in which a malicious user is able to execute SQL statements on a database. Django query sets are protected from SQL injection because the queries are constructed using parameterization.
Continuous updates to the framework are geared towards not only providing new functionality, but also correcting any vulnerabilities that are found.
Flask, on the other hand, is a much smaller framework and consequently has fewer vulnerabilities. It’s the developer’s job to handle any vulnerabilities that may arise when programming functionality or integrating other libraries. This means that Flask is just harder to keep secure than a project developed in Django. The level of security, however, is very similar.
Use cases
As mentioned earlier both frameworks are very popular in the Python developer community. In fact, Django is designed for fast development of complex, scalable and maintainable web applications. In contrast, the simplicity of Flask allows the creation of small or medium applications very quickly. Precisely because of this aspect it is often used to create microservices.
The most popular projects developed in Django are the following:
Websites that use Flask instead are:
What about FastAPI?
Since 2021 the landscape has changed: FastAPI became the most used Python framework in the latest JetBrains survey. It is designed for building APIs: it is natively asynchronous (ASGI), validates data with Pydantic and generates OpenAPI documentation on its own. It has no built-in templates, admin or ORM, though, so for a complete website or business application Django is still more convenient. Many projects today use Django for the back office and FastAPI for high-traffic APIs, or Flask for small internal services.
Which framework to choose?
In consideration of what has been presented, the question arises. As usual there is no absolute answer because everything depends on your project.
If you are a beginner in the development of a web application the advice is to use Flask. Being very simple and flexible it will allow you to better understand the management of requests, views and template rendering. You won’t have any additional functionality except those introduced by the use of third-party libraries.
However, if your project is more complex, the advice is to use Django. While Django does not have basic support for NoSQL databases, it is an excellent ally for developing applications that work with databases. Some features, such as the administrator panel, form definition integrated with templates, and authentication and authorization management will allow you to focus your development on the features that characterize the application. Moreover, you will reduce the development time and you will have a highly reliable product over time.
Websites and platforms
Need to choose the stack for a new platform or modernise an existing Django or Flask application? I design and build custom web platforms, from the database to the interface.
Django and Flask FAQ
Is Django or Flask better for beginners?
Flask, if you want to understand requests, routes and templates with little code. Django, if you want to get quickly to a complete application with login, admin panel and database already in place.
Does Flask support asynchronous views?
Yes, since version 2.0 you can write views with async def. Flask is still a WSGI framework, though: for applications with very many concurrent connections (WebSockets, streaming) Django with ASGI or FastAPI are a better fit.
Can I use Django with MongoDB?
Yes: since 2025 there is Django MongoDB Backend, the official backend developed by MongoDB, which lets you use Django models, admin and authentication. With Flask you can use PyMongo or an ODM such as MongoEngine. To choose the right database, start from the database guide.
Django, Flask or FastAPI for an API?
For a pure API with data validation and automatic documentation, FastAPI is often the fastest choice today. Django REST Framework makes sense when the API is part of a larger Django application; Flask is fine for small, simple services.
Which one is faster?
In real applications the speed difference almost always depends on the database, the queries and caching, not on the framework. Choose based on the features you need and your team’s skills.
For a complete path through frameworks, architectures and deployment, see the web development guide.
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