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Django vs FastAPI: Complete Comparison Guide

Compare Django and FastAPI on speed, scalability, ORM support, and development velocity. Discover which Python framework is the best fit for your backend.

Django

A batteries-included Python web framework that provides everything for rapid web development: a powerful ORM, admin interface, authentication, and templating. Django follows the "don't repeat yourself" principle and is used by organizations like Instagram, Mozilla, and NASA.

FastAPI

A modern, async-first Python framework designed for building fast APIs with automatic documentation. FastAPI leverages Python type hints and Pydantic for data validation, and automatically generates OpenAPI and JSON Schema documentation.

Comparison table

FeatureDjangoFastAPI
PerformanceSynchronous — suitable for standard web applicationsAsync-native — up to 3x faster than Django for I/O-intensive tasks
Type validationVia Django Forms and serializers — runtime checksPydantic models with Python type hints — compile-time-like safety
DocumentationManual via tools like DRF SpectacularAuto-generated OpenAPI docs (Swagger UI and ReDoc)
ORM / DatabasePowerful built-in ORM with migrationsNo built-in ORM — pairs with SQLAlchemy or Tortoise
Admin interfaceFull admin panel out of the boxNo admin panel — available via external libraries like SQLAdmin
Learning curveModerate — many built-in concepts to learnLow — minimal API, quick start for Python developers

Verdict

Django is the right framework when building a complete web application with admin panel, ORM, and authentication. It provides a proven architecture that makes teams productive. FastAPI is the better choice for modern API development — it is significantly faster, offers automatic documentation, and makes type-safe development straightforward. For pure API projects, FastAPI is the clear winner. When you need a complete web application with server-side rendering, Django provides more functionality out of the box.

Our recommendation

While MG Software primarily works with Node.js and TypeScript, we advise clients with Python teams based on project type. For API-first projects, we recommend FastAPI for its performance, type safety, and automatic documentation. For full web applications with admin management, Django is the pragmatic choice. In our own architecture, we fulfill similar needs with Next.js for full-stack applications and Fastify for pure APIs, but we respect the strengths of both Python frameworks.

Further reading

Node.js vs Python comparisonFastAPI vs Flask comparisonREST vs GraphQL comparison

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Frequently asked questions

Yes, FastAPI is significantly faster than Django for API requests thanks to its async-native architecture. For I/O-intensive tasks, FastAPI can handle up to three times more requests per second. For CPU-bound tasks the difference is smaller, but FastAPI remains consistently faster in API scenarios.
Technically it is possible to use Django as the main application and FastAPI for specific high-performance endpoints, but this increases complexity. A better approach is to use Django REST Framework for existing Django projects or fully adopt FastAPI for new API services.
FastAPI does not have a built-in ORM but works excellently with SQLAlchemy, Tortoise ORM, or SQLModel (created by the FastAPI author). SQLModel combines SQLAlchemy with Pydantic, allowing you to use the same models for both database operations and API validation.

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