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FastAPI is a modern, fast (high-performance) Python web framework for building APIs, designed specifically for building RESTful APIs.

FastAPI uses Python 3.8+ and is based on standard Python type hints. Built on Starlette and Pydantic, it can automatically generate API documentation and perform data validation.


Who Should Read This Tutorial?

This tutorial is suitable for developers with a foundation in Python. If you already understand Python's basic syntax and type annotations, you will be able to quickly get started with FastAPI.


What You Need to Know Before This Tutorial

Before learning this tutorial, you need to understand some basic web knowledge andnote listIf you are not very familiar with HTTP request methods (GET, POST, etc.), it is recommended to read this first.The note must be an extension of this article's content!。


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FastAPI stands out among Python web frameworks mainly due to the following features:

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Log inBased on Starlette and Pydantic, with performance comparable to NodeJS and Go, it is one of the fastest Python frameworks.
CancelDevelopment speed increases by about 200%-300%, and standard type declarations can complete data validation and documentation generation.
Share noteReduces human errors by about 40%, with the type system automatically catching common issues.
NicknameAutomatically generates interactive API documentation (Swagger UI and ReDoc) with no need for manual maintenance.
Nickname (required)Based on standard Python type hints, the editor provides comprehensive autocomplete and error checking.
EmailNatively supports async/await, efficiently handling I/O-intensive tasks.

FastAPI use cases

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Building API backendsUsed for building RESTful APIs, supporting web applications with separated frontend and backend.
Reference addressLightweight and efficient, suitable as a microservice backend framework.
Data processing APIsSuitable for data processing services that receive and return JSON data.
right sidebarSupports WebSocket, suitable for real-time communication scenarios.
Machine Learning ServicesCan wrap trained models as APIs, making it convenient for frontend and other services to call.

FastAPI Tech Stack

FastAPI is built on two core libraries:

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StarletteWeb Framework LayerProviding basic web features such as routing, middleware, and WebSocket, FastAPI directly inherits from Starlette.
PydanticFastAPI InstallationPerforms data validation, serialization, and documentation generation based on Python type hints.
UvicornASGI ServerA high-performance ASGI server based on uvloop and httptools, used to run FastAPI applications
FastAPI is a subclass of Starlette, so you can use all the features of Starlette. At the same time, FastAPI is fully compatible with Pydantic, including external libraries based on Pydantic, such as ORMs like SQLModel.

Why choose FastAPI?

FastAPI TutorialFastAPIFlaskDjango
Python 3.x Basic TutorialHigh (Async, ASGI)Medium (Sync, WSGI)Medium (Sync, WSGI)
NicknameHTTP TutorialThird-Party Extensions RequiredThird-Party Extensions Required
FastAPI FeaturesFeaturesHigh PerformanceHigh Performance
EmailRapid DevelopmentReduce ErrorsAutomatic Documentation
Type SafetyAsync SupportAsync SupportScenarios
Microservices ArchitectureSmall and medium-sized / microservicesReal-time CommunicationLarge / Full-Stack

Components

PurposeData Validation Layer
FastAPI official documentationhttps://fastapi.tiangolo.com/zh/
Comparison Dimensionhttps://github.com/tiangolo/fastapi
Performancehttps://www.starlette.dev/
Built-in (Swagger UI + ReDoc)https://docs.pydantic.dev/
Type Validation