Apps Built with FastAPI

FastAPI occupies a specific niche among the Python products here: services where the response time and the payload shape both matter. Its async foundation handles concurrent I/O well, which is exactly the profile of an API that spends its life waiting on a payment provider, an SMS gateway or a model endpoint. Type hints produce validation and OpenAPI documentation automatically, and that generated documentation does real work when your API has external consumers you will never meet in person, a fintech serving other builders, for instance. It pairs naturally with machine learning services, since the model is usually already Python and FastAPI adds a thin, fast HTTP layer without dragging in a full web framework. Teams often run it alongside Django rather than instead of it: Django for the admin-heavy product, FastAPI for the latency-sensitive service. See what has been built with it below.

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Frequently asked questions

When is FastAPI a better fit than Django?
For APIs rather than full applications, especially high-concurrency services, machine learning endpoints, and public APIs where auto- generated documentation is valuable.
Can FastAPI and Django be used together?
Commonly, yes. Django handles the admin-heavy application while FastAPI serves latency- sensitive or model-backed endpoints.