* «the cookie parameter»: «der Cookie-Parameter»
* «the header parameter»: «der Header-Parameter»
* «the form parameter»: «der Formular-Parameter»
* «the payload»: «die Payload»
* «the performance»: NOT «die Performance»
* «the query»: «die Query»
* «the recap»: «die Zusammenfassung»
* «the request» (what the client sends to the server): «der Request»
* «the request body»: «der Requestbody»

"""FastAPI framework, high performance, easy to learn, fast to code, ready for production"""

__version__ = "0.128.0"

from starlette import status as status

from .applications import FastAPI as FastAPI
from .background import BackgroundTasks as BackgroundTasks
from .datastructures import UploadFile as UploadFile
from .exceptions import HTTPException as HTTPException
from .exceptions import WebSocketException as WebSocketException

[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"

[project]
name = "fastapi"
dynamic = ["version"]
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
readme = "README.md"
license = "MIT"
license-files = ["LICENSE"]
requires-python = ">=3.9"
authors = [
    { name = "Sebastián Ramírez", email = "******@****.***" },
]
classifiers = [

Example:

    Source (English):

        «««
        [One of the fastest Python frameworks available](#performance)
        »»»

    Result (German):

        «««
        [Eines der schnellsten verfügbaren Python-Frameworks](#performance)
        »»»

Seine Schlüssel-Merkmale sind:

* **Schnell**: Sehr hohe Performanz, auf Augenhöhe mit **NodeJS** und **Go** (dank Starlette und Pydantic). [Eines der schnellsten verfügbaren Python-Frameworks](#performance).
* **Schnell zu entwickeln**: Erhöhen Sie die Geschwindigkeit bei der Entwicklung von Features um etwa 200 % bis 300 %. *
* **Weniger Bugs**: Verringern Sie die von Menschen (Entwicklern) verursachten Fehler um etwa 40 %. *

# Linux x86 so that we can use RBE. Since tests still need to run on the single
# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.
# For testing purposes, we want to see the runtime performance of an
# experimental job that is build-only, i.e, we only build the test targets and
# do not run them. By prefixing the configs with "build", we can run both

* **Safer** types.
* Better **performance** and **less energy** consumption.
* Better **extensibility**.
* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀

In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯