extremely easy tests based on requests and pytest.

Many extra features (thanks to Starlette) as:.

More advanced (but equally easy) techniques for declaring deeply nested JSON models (thanks to Pydantic).

Security and authentication, including support for OAuth2 with JWT tokens and HTTP Basic auth.

A very powerful and easy to use Dependency Injection system.

How to set validation constraints as maximum_length or regex.

Declaration of parameters from other different places as: headers, cookies, form fields and files.

Spoiler alert: the tutorial - user guide includes: and see how your editor will auto-complete the attributes and know their types:įor a more complete example including more features, see the Tutorial - User Guide. We just scratched the surface, but you already get the idea of how it all works.

Provide 2 interactive documentation web interfaces directly.

Automatic client code generation systems, for many languages.

Document everything with OpenAPI, that can be used by:.

Convert from and to JSON automatically.

All this would also work for deeply nested JSON objects.

Check that it has an optional attribute is_offer, that should be a bool, if present.

Check that it has a required attribute price that has to be a float.

Check that it has a required attribute name that should be a str.

get ( '/' ) def read_root (): return, Read the body as JSON: Some of them are getting integrated into the core Windows product and some Office products.'įrom typing import Optional from fastapi import FastAPI from pydantic import BaseModel app = FastAPI () class Item ( BaseModel ): name : str price : float is_offer : Optional = None. I'm actually planning to use it for all of my team's ML services at Microsoft. * estimation based on tests on an internal development team, building production applications.

Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.

With automatic interactive documentation. Multiple features from each parameter declaration.

Easy: Designed to be easy to use and learn.

Fewer bugs: Reduce about 40% of human (developer) induced errors.

One of the fastest Python frameworks available.įast to code: Increase the speed to develop features by about 200% to 300%. OAuth2 with Password (and hashing), Bearer with JWT tokensĬustom Response - HTML, Stream, File, othersĪlternatives, Inspiration and ComparisonsįastAPI framework, high performance, easy to learn, fast to code, ready for productionįastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.įast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Dependencies in path operation decorators

Python test automation