®If you have decided to build your backend in Python, the next question is usually Django or FastAPI. Both are popular, well maintained and used in production by many companies. Django gives you a complete toolkit with many decisions already made, while FastAPI gives you a fast, modern way to build APIs and leaves more choices to your team.
What each framework is
Django is a full-stack web framework that has been around for many years. It includes an ORM for working with databases, database migrations, user authentication, permissions, forms, a templating system and a ready-made admin panel. For APIs, most teams add Django REST Framework, a mature library for building REST endpoints on top of Django.
FastAPI is a newer framework focused on building APIs. It uses Python type hints to validate incoming data and generate interactive API documentation automatically. It is built for asynchronous code, which helps when an API spends much of its time waiting on other services, databases or AI models. It does not include an ORM or admin panel, so teams choose their own tools, often SQLAlchemy for the database and Pydantic, which FastAPI already uses, for data models.
Django vs FastAPI compared
| Factor | Django | FastAPI |
|---|---|---|
| Scope | Full-stack framework | API-focused framework |
| Database layer | Built-in ORM and migrations | Choose your own, often SQLAlchemy with Alembic |
| Admin panel | Built in | Not included |
| Authentication and permissions | Built in | Add libraries or build your own |
| API documentation | Through add-ons | Generated automatically |
| Async support | Available, partial in places | Designed around it |
| Data validation | Serializers and forms | Type hints and Pydantic models |
| Best known for | Complete business applications | Fast, lean APIs and services |
Where Django does well
Django is strong when the backend is a full business application rather than just an API.
- Admin and back-office work. The built-in admin gives your operations team a way to view and edit data almost immediately.
- Complex data models. The ORM and migrations handle many related tables cleanly, and work very well with PostgreSQL.
- Security defaults. Protection against common web attacks such as SQL injection, cross-site scripting and cross-site request forgery is built in.
- Consistency across a team. Django projects follow a familiar structure, so new developers can find their way around quickly.
- Long-lived products. A large ecosystem of mature packages covers payments, file storage, search and more.
Where FastAPI does well
FastAPI is strong when you need a lean, fast service with clear contracts.
- API-only backends. Mobile app backends, partner APIs and internal services that have no web pages.
- AI and machine learning services. Wrapping a model or calling AI providers fits naturally, and async handling helps when requests wait on slow external calls.
- Microservices. Small, focused services with little overhead.
- Clear API contracts. Automatic documentation and validation from type hints make it easier for mobile and front-end teams to work against the API.
- Modern Python style. Type hints throughout help editors and catch mistakes early.
The trade-off is that you assemble more pieces yourself. Authentication, admin tools, background jobs and project structure need decisions that Django has already made for you.
Using both together
Some products use both. Django runs the main application, user accounts and admin panel, while a FastAPI service handles a specific job such as AI processing, real-time data or a high-traffic public endpoint. This can work well, but each extra service adds deployment, monitoring and maintenance. Start with one framework and split only when there is a clear reason.
How to choose
Use this checklist with your team.
- Do you need an admin panel? If staff will manage data from day one, Django saves a lot of time.
- Is it API only? A mobile backend or service with no web pages points towards FastAPI, though Django REST Framework is also a solid choice.
- How complex is the data? Many related models and permissions favour Django's built-in tools.
- Will you call AI models or slow external services? FastAPI's async design is a natural fit.
- How experienced is the team? Django's conventions help mixed-experience teams. FastAPI rewards teams comfortable making architecture decisions.
- How long will it live? For a large product that will grow for years, Django's batteries-included approach reduces the number of moving parts you must maintain.
If you are still deciding whether Python is the right language at all, our article on Node.js vs Python compares the two.
Frequently asked questions
Is FastAPI faster than Django?
FastAPI is usually faster in benchmarks for simple API requests, especially with async workloads. In real products, database design, caching and external calls tend to matter more than the framework itself.
Can Django build APIs as well as FastAPI?
Yes. Django REST Framework is mature and widely used for APIs. Django also offers async views, though FastAPI is built around async from the start.
Which is easier to hire for?
Both are popular. Django has a longer history, so there are many experienced developers. FastAPI has grown quickly and is familiar to many Python developers, especially those working on data and AI.
We build Python backends with both frameworks. If you are planning a new API, see our cloud, DevOps and backend service.