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Companies and Developers Using FastAPI

FastAPI is the Python web framework built on type hints and Pydantic, used in production at Microsoft, Uber, Netflix, and many ML and LLM backends for typed, OpenAPI-documented APIs.

By the numbers

97.3k
GitHub stars
9.1k
Forks
892+
Contributors
Apr 2026
Latest release

Source: GitHub · fetched 2026-04-17

What is FastAPI?

FastAPI is a Python web framework released in 2018 by Sebastián Ramírez ("tiangolo"). It is MIT licensed. The design is built around Python type hints and Pydantic models: you declare request and response schemas as typed Python, and FastAPI handles validation, serialization, OpenAPI schema generation, and automatic interactive docs (Swagger UI, ReDoc) from the same declarations.

Performance comes from Starlette (the ASGI framework underneath) and Uvicorn/Hypercorn workers, putting FastAPI roughly on par with Node.js frameworks on typical HTTP workloads—fast enough that it became the default choice for Python backends built after 2020. Pydantic v2's Rust core improved throughput further. It is heavily used in ML and LLM API servers because Python is the lingua franca of that ecosystem.

Who uses FastAPI?

Public FastAPI users include Microsoft, Uber, Netflix, Hugging Face, OpenAI (internal projects), Explosion AI (spaCy), and the backends of a large share of ML/LLM startups. It is the default framework in many YC AI startups' Python backends and the standard choice for inference APIs wrapping PyTorch or Hugging Face models.

FastAPI users are Python backend engineers building typed APIs, ML engineers shipping inference endpoints, data scientists wrapping models as HTTP services, and full-stack developers in Python-first teams. These personas buy GPU hosting, vector databases, LLM APIs, observability, task queues (Celery, RQ, Dramatiq), and Python-specific APM.

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Frequently asked questions about FastAPI

What companies use FastAPI?

FastAPI is used in production at Microsoft, Uber, Netflix, Hugging Face, Explosion AI (spaCy), and most Python-based ML/LLM API backends at AI-first startups.

Who maintains FastAPI?

FastAPI is maintained by Sebastián Ramírez ("tiangolo"), who has worked full-time on the project since 2023, funded by sponsorships and FastAPI Labs. Pydantic (a key dependency) is maintained separately by Pydantic Inc.

What are alternatives to FastAPI?

Flask (minimal, older), Django with Django REST Framework (batteries-included), Starlette (ASGI framework FastAPI is built on), Litestar (typed, similar philosophy), and Hono + tRPC for TypeScript alternatives.

How many developers contribute to FastAPI?

FastAPI has 892 contributors (GitHub, 2026/04). It is one of the more actively contributed open-source projects in its category, with contributions from both individual developers and corporate engineering teams.

Is FastAPI production-ready?

Yes. FastAPI is production-ready: it has 97.3k GitHub stars, 892 contributors (GitHub, 2026/04), and is last released Apr 2026. It is used in production at large-scale organizations and has a mature release cadence.

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