* «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

---

FastAPI ist ein modernes, schnelles (hoch performantes) Webframework zur Erstellung von APIs mit Python auf Basis von Standard-Python-Typhinweisen.

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).

---

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *

---

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *

[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)
        »»»

* **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. 🤯