Technology Comparison

FastAPI vs Django - Which Should You Use?

Comparing FastAPI and Django for your next project. Honest analysis of performance, ecosystem, and suitability for Australian businesses.

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RESTful and GraphQL APIs that connect your systems seamlessly. Custom integrations with 150+ business tools.

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Custom analytics dashboards that give your team real-time visibility into business metrics and KPIs.

CI/CD and DevOps

Automated testing, continuous integration, and deployment pipelines that keep your application reliable and easy to update.

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Server-side rendering, code splitting, and caching strategies that deliver sub-second load times at scale.

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Quick Comparison

Side-by-side comparison to help you decide.

Criterion	FastAPI	Django
Architecture type	Micro framework - build only what you need	Full-stack framework - ORM, admin, auth, forms included
Async support	Native async/await throughout; built for async Python from day one	Async views available since 3.1; ORM still partially sync in 4.x
API documentation	Automatic OpenAPI 3.x docs at /docs and /redoc from type hints	Requires drf-spectacular or manual schema definition with DRF
Input validation	Pydantic v2 models - fast, declarative, automatic serialisation	DRF serialisers - powerful but more verbose than Pydantic
Admin interface	None built-in - third-party (SQLAdmin) required	Django Admin - built-in, extensible, among the best in any framework
ORM	SQLAlchemy (async) or SQLModel; your choice, no batteries included	Django ORM built-in - mature QuerySet API, migrations included
Time to first working endpoint	Minutes - minimal boilerplate; one file for simple APIs	More setup - apps, settings, URLs, migrations before first response

Our Verdict

Choose FastAPI for greenfield APIs where async performance matters, automatic OpenAPI documentation is valuable, or Pydantic validation is preferred over DRF serialisers. Choose Django if you need the built-in admin panel, an established ORM with migrations, or you are building a traditional web application rather than a pure API. Many Australian teams run both: Django for the admin and data layer, FastAPI for a separate high-performance API tier. If your project is purely an API with no admin requirements, FastAPI with SQLModel or SQLAlchemy is the more ergonomic choice in 2025.

Choose FastAPI when:

✓ Building a pure JSON API where automatic OpenAPI docs are required
✓ Async endpoints and high concurrency are performance requirements
✓ Pydantic v2 validation is preferred over DRF serialiser boilerplate
✓ Microservice or serverless deployment where Django's size is overhead

Choose Django when:

✓ Django Admin is needed for content management or operations tooling
✓ Building a full-stack application with server-rendered templates and forms
✓ The project benefits from Django's batteries (auth, sessions, signals, middleware)
✓ Team is already Django-proficient and the migration cost to FastAPI is not justified

Frequently Asked Questions

We specialise in integration. Whether it is your CRM, accounting software, or industry-specific tools, we connect your new application to your existing systems.

Yes, our team has experience with both FastAPI and Django. We choose the right tool based on your project needs and recommend accordingly during our free assessment.

Timelines depend on scope, but most projects go from kickoff to launch in 4-8 weeks. A working prototype is ready within the first 2 weeks for early feedback.

It depends on your project requirements. FastAPI and Django each have strengths. Our detailed comparison above covers the trade-offs to help you decide.

Pricing depends on what you need - a simple web app costs less than a complex system with multiple integrations. We provide fixed-price proposals after a free discovery session.

Yes. Every project includes 3 months of post-launch support covering bug fixes, performance tuning, and minor feature additions. We also offer ongoing retainer plans.

Our core stack is Next.js, React, and TypeScript, but we select technology based on your project needs. We have experience with Python, Node.js, PostgreSQL, and all major cloud platforms.