FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
Uses:
Fast API, works perfectly if your concern is speed. Netflix uses it for its internal crisis management. It also scales perfectly in deploying production-ready machine learning models because ML models work best in production when they are wrapped around a REST API and deployed in a microservice.
Features:
Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available.
Fast to code: Increase the speed to develop features by about 200% to 300% *.
Less bugs: Reduce about 40% of human (developer) induced errors. *
Intuitive: Great editor support. Completion everywhere. Less time debugging.
Easy: Designed to be easy to use and learn. Less time reading docs.
Short: Minimize code duplication. Multiple features from each parameter declaration. Less bugs.
Robust: Get production-ready code. With automatic interactive documentation.
Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.
Advantages:
Fast API validates the developer’s data type even in deeply nested JSON requests.
Fast API is built on standards like JSON Schema (a tool used for validating the structure of JSON data), OAuth 2.0 (it’s the industry-standard protocol for authorization), and OpenAPI (which is a publicly available application programming interface)
FastAPI makes it easy to build a GraphQL API with a Python library called graphene-python.
Disadvantages:
Because FastAPI is relatively new, the community is small compared to other frameworks, and regardless of its detailed documentation, there is very little external educational materials.
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