# Django vs FastAPI: Choosing the Right Python Backend

> Django or FastAPI? A practical comparison of the two most popular Python web frameworks — features, performance, admin, APIs and the best fit for each.

Source: https://mkwebguru.co.uk/blog/django-vs-fastapi

Published: 2026-11-09 · Author: MK WebGuru Team · Category: Backend Development

Python is one of the most popular languages for web backends, data processing and AI. When it comes to building a web backend in Python, two frameworks dominate the conversation: **Django** and **FastAPI**. Both are excellent — but they're built for different jobs.

## Django: batteries included

[Django](https://www.djangoproject.com/) has been around since 2005 and powers many large websites. Its philosophy is "batteries included", so most of what a web application needs is built in:

- an **ORM** for working with databases and migrations;
- **authentication**, permissions and sessions;
- a ready-made **admin interface** generated from your data models;
- forms, templates, security protections and much more.

For APIs, most teams add **Django REST Framework**, a mature toolkit with serialisers, authentication and browsable API pages. Modern Django also supports asynchronous views.

## FastAPI: modern, fast and API-first

[FastAPI](https://fastapi.tiangolo.com/) is a newer framework focused on building APIs quickly. It's built on Starlette and Pydantic and uses Python **type hints** to do a lot of work for you:

- **request validation** from your type definitions;
- **automatic interactive documentation** (OpenAPI/Swagger) for every endpoint;
- **async support** throughout, ideal for I/O-heavy workloads;
- a small, focused core you extend with the libraries you choose.

## Side-by-side comparison

| | Django | FastAPI |
|---|---|---|
| Best at | Full web applications with admin and auth | High-performance APIs and microservices |
| Built-in admin | Yes | No (add a library or build one) |
| Database layer | Built-in ORM and migrations | Bring your own (e.g. SQLAlchemy, SQLModel) |
| API documentation | Via Django REST Framework add-ons | Automatic OpenAPI docs |
| Async | Supported, with some sync-first parts | Async-first |
| Learning curve | More concepts, very well documented | Small and quick to learn |

## Performance

FastAPI is known for strong performance, especially when handling many concurrent requests that wait on databases or other APIs. Django is fast enough for the vast majority of websites, and performance problems usually come from slow database queries or missing caching rather than the framework itself.

In other words: choose based on features and team fit first, raw speed second.

## When to choose Django

- You need an **admin panel** quickly to manage data.
- You're building a **content-rich or data-heavy web application**.
- You want **conventions** that keep a large codebase consistent.
- Security features such as CSRF protection and authentication should be ready from day one.

## When to choose FastAPI

- You're building an **API** for a React, Next.js or mobile frontend.
- You're creating **microservices** or serving **machine learning models**.
- You need high concurrency — for example many calls to external APIs.
- You want automatic, always-up-to-date API documentation.

## Can you use both?

Yes. A common pattern is **Django** for the core application and admin, with **FastAPI** services for performance-critical endpoints or AI features. Background work in either can be handled by **Celery** with **Redis**.

## Our recommendation

For a business application with lots of data management, Django gets you further, faster. For a lean API powering a modern frontend or an AI product, FastAPI is often the better fit.

## Need a Python backend?

We build Python backends with Django, FastAPI, Celery and PostgreSQL — from APIs and data pipelines to AI integrations. Find out more about our [Python development service](/services/python-development) or [contact us](/contact) for advice on your project.