Search

Search pages, services, tech stack, and blog posts

DjangovsFastAPI

Django vs FastAPI ComparisonBatteries-included full-stack vs async API framework: the Python web decision

Django has been the dominant Python web framework since 2005. It follows a batteries-included philosophy: ORM, admin interface, authentication, migrations, and templating are all built in and work together out of the box. FastAPI launched in 2018 and quickly became the preferred choice for pure API backends, microservices, and ML model serving. It's built on Starlette and Pydantic, supports async natively, and auto-generates OpenAPI documentation from type hints. The two frameworks rarely compete directly, since Django is a full-stack framework and FastAPI is an API framework. Where they overlap is building JSON APIs that back a frontend, and there FastAPI's async performance and developer ergonomics often win for greenfield work.

Head-to-head summary

3
Django wins
0
Ties
4
FastAPI wins

Detailed comparison

Built-in admin interface
Django
Exceptional: auto-generated admin for all models, customisable
FastAPI
None: admin must be built separately or via third-party
Async support
Django
Partial: async views supported since Django 3.1, but ORM is sync
FastAPI
Native: built async-first on Starlette, full async from day one
API performance
Django
Moderate: synchronous request handling limits throughput
FastAPI
High: async + Pydantic serialisation benchmarks among fastest Python frameworks
ORM & database
Django
Excellent: Django ORM is mature with migrations, relations, and querysets
FastAPI
None built-in: use SQLAlchemy, Tortoise ORM, or raw SQL separately
Automatic API docs
Django
Not built-in: Django REST Framework adds Swagger separately
FastAPI
Built-in: OpenAPI + Swagger UI generated from type hints automatically
Request validation
Django
Django forms and DRF serializers: verbose, boilerplate-heavy
FastAPI
Pydantic models: declarative, Python type hints, errors are automatic
Ecosystem & community
Django
Massive: 18 years of packages, answers, and production patterns
FastAPI
Smaller but fast-growing: excellent docs, strong ML/data science adoption

Our verdict

It's a tie: context determines the winner

Choose Django when you need the admin interface, complex ORM relationships, or the batteries-included ecosystem for a full-stack application. Choose FastAPI when you're building a pure API backend, microservice, or ML model endpoint: async performance, automatic docs, and Pydantic validation make it the stronger choice for API-first development. Both are production-proven and the choice is almost entirely driven by what you're building.

When to choose each

Choose Django when:

  • You need a built-in admin interface for content management or internal tooling
  • Your application has complex relational data models that benefit from Django's ORM and migrations
  • You're building a full-stack app with server-rendered templates alongside your API
  • Your team has existing Django expertise and wants to leverage years of accumulated packages

Choose FastAPI when:

  • You're building a pure API backend: mobile app backend, microservice, or data pipeline endpoint
  • You're serving ML models or CPU-bound tasks where async concurrency improves throughput
  • You want automatic OpenAPI documentation generated from your code without extra tooling
  • Developer experience matters: Pydantic validation errors and type hints reduce boilerplate significantly

Frequently asked questions

Ready to start your Django or FastAPI project?

Tell us what you're building with Django or FastAPI. We'll respond within 24 hours.

1 spot available in May 2026Apr 2026 fully booked

We limit intake each month so every project gets the focus it deserves.