* Wenn Sie Starlette vergleichen, vergleichen Sie es mit Webframeworks (oder Mikroframeworks) wie Sanic, Flask, Django, usw.
* **FastAPI**:
    * So wie Starlette Uvicorn verwendet und nicht schneller als dieses sein kann, verwendet **FastAPI** Starlette, sodass es nicht schneller als dieses sein kann.

## Full Stack FastAPI MongoDB

... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

## Sobre Starlette

Não é recomendado fixar a versão de `starlette`.

Versões diferentes de **FastAPI** utilizarão uma versão específica e mais recente de Starlette.

Então, você pode deixar **FastAPI** escolher a versão compatível e correta de Starlette.

## Sobre Pydantic

You can see the current team members in [FastAPI People - Team](./fastapi-people.md#team){.internal-link target=_blank}.

Joining the team is by invitation only, and I could update or remove permissions, instructions, or membership.

## FastAPI Experts

The people that help others the most in GitHub Discussions can become [**FastAPI Experts**](./fastapi-people.md#fastapi-experts){.internal-link target=_blank}.

Aquí algunos de los paquetes de **GraphQL** que tienen soporte **ASGI**. Podrías usarlos con **FastAPI**:

* <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓
    * Con <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">documentación para FastAPI</a>
* <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>

# Geçmişi, Tasarımı ve Geleceği

Bir süre önce, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">bir **FastAPI** kullanıcısı sordu</a>:

> Bu projenin geçmişi nedir? Birkaç hafta içinde hiçbir yerden harika bir şeye dönüşmüş gibi görünüyor [...]

İşte o geçmişin bir kısmı.

## Alternatifler

## Full Stack FastAPI Template - Technology Stack and Features { #full-stack-fastapi-template-technology-stack-and-features }

- ⚡ [**FastAPI**](https://fastapi.tiangolo.com) for the Python backend API.
    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) for the Python SQL database interactions (ORM).

You can use the `TestClient` class to test FastAPI applications without creating an actual HTTP and socket connection, just communicating directly with the FastAPI code.

Read more about it in the [FastAPI docs for Testing](https://fastapi.tiangolo.com/tutorial/testing/).

You can import it directly from `fastapi.testclient`:

```python
from fastapi.testclient import TestClient
```

# 역사, 디자인 그리고 미래

어느 날, [한 FastAPI 사용자](https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920)가 이렇게 물었습니다:

> 이 프로젝트의 역사를 알려 주실 수 있나요? 몇 주 만에 멋진 결과를 낸 것 같아요. [...]

여기서 그 역사에 대해 간단히 설명하겠습니다.

---

## 대안

저는 여러 해 동안 머신러닝, 분산 시스템, 비동기 작업, NoSQL 데이터베이스 같은 복잡한 요구사항을 가진 API를 개발하며 여러 팀을 이끌어 왔습니다.

이 과정에서 많은 대안을 조사하고, 테스트하며, 사용해야 했습니다. **FastAPI**의 역사는 그 이전에 나왔던 여러 도구의 역사와 밀접하게 연관되어 있습니다.