#### Utility: compare with alternatives


        There is always *some* alternative to adding a new feature to Guava, even if it's just
        forking Guava yourself.


        We want to see that new features have some significant advantage over the alternatives.
        These advantages can take

      required: false
  - type: textarea
    id: context
    attributes:
      label: Context
      description: |
        How has this issue affected you? What are you trying to accomplish? What other alternatives have you considered?
        Providing context helps us come up with a solution that is most useful in the real world
    validations:

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

### Alternative API docs { #alternative-api-docs }

And now, go to <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>.

You will see the alternative automatic documentation (provided by <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>):

- **Cross-Language Compatibility:**
Java serialization is inherently Java-centric and does not support cross-language scenarios well.

- **Type Safety:**
Java serialization does not enforce type safety as strictly as some alternatives, potentially leading to runtime errors.

## Decision

We do not use Java serialization.
Instead, we use custom serialization where we explicitly describe how data objects should be serialized and deserialized.

   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

$ python main.py

I solemnly swear 🐺
```

</div>

## Alternatives { #alternatives }

This is a simple guide to get you started and teach you how everything works **underneath**.

There are many **alternatives** to managing virtual environments, package dependencies (requirements), projects.

Bu süreçte birçok alternatifi araştırmak, test etmek ve kullanmak zorunda kaldım.

**FastAPI**'ın geçmişi, büyük ölçüde önceden geliştirilen araçların geçmişini kapsıyor.

[Alternatifler](alternatives.md){.internal-link target=_blank} bölümünde belirtildiği gibi:

<blockquote markdown="1">

Başkalarının daha önceki çalışmaları olmasaydı, **FastAPI** var olmazdı.

⚠️ **ATTENTION** ⚠️

Si vous démarrez un nouveau projet de zéro, allez voir les alternatives au début de cette page.

Par exemple, le générateur de projet <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" class="external-link" target="_blank">Full Stack FastAPI PostgreSQL</a>  peut être une meilleure alternative, étant activement maintenu et utilisé et comprenant toutes les nouvelles fonctionnalités et améliorations.

---

## 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.

[대안](alternatives.md){.internal-link target=_blank} 섹션에서 언급된 것처럼:

> **FastAPI**는 이전에 나왔던 많은 도구들의 노력 없이는 존재하지 않았을 것입니다.
>
> 이전에 개발된 여러 도구들이 이 프로젝트에 영감을 주었습니다.
>

There are several alternatives, including:

* <a href="https://www.uvicorn.dev/" class="external-link" target="_blank">Uvicorn</a>: a high performance ASGI server.