FastAPI is a Python web framework for building APIs. You describe your data with Python type hints, and it validates requests and writes interactive OpenAPI documentation for you. It supports async code, which suits services that spend much of their time waiting on databases or other APIs.
Hire a FastAPI developer when your API needs to sit close to Python code such as machine-learning models, data pipelines or AI features. A good FastAPI developer will also know Pydantic, SQLAlchemy and how to deploy Python services properly.
What We Build With It
- Build REST APIs with automatic request validation and OpenAPI docs
- Wrap machine-learning models and LLM calls in production APIs
- Model data with Pydantic and connect to PostgreSQL or MySQL through SQLAlchemy or SQLModel
- Add authentication with OAuth2, JWT and API keys
- Write async endpoints, background tasks and WebSocket handlers
- Containerise and deploy services with Docker on AWS, Azure or Google Cloud
Where It Fits Best
- APIs that serve machine-learning or AI model predictions
- Backends for mobile and single-page web apps
- Data and analytics services built on existing Python code
- Internal tools and microservices that need clear API docs
- Webhooks and integration layers between business systems
Let's build somethingsimple & powerful
Frequently Asked Questions
Should I choose FastAPI or Django?
FastAPI is the better fit for an API-only service, especially one tied to AI or data code. Django is better when you want a full web application with an admin panel, ORM and user accounts ready to use. Many teams run both, with Django for the main app and FastAPI for model-serving APIs.
Is FastAPI ready for production when it is still below version 1.0?
Yes, many teams run it in production. The version number reflects how often it changes, not a lack of stability. A careful developer pins the version, tests upgrades and reads the release notes before moving up.
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