Voici un petit bout de cette histoire.

## Alternatives

Je crée des API avec des exigences complexes depuis plusieurs années (Machine Learning, systèmes distribués, jobs asynchrones, bases de données NoSQL, etc), en dirigeant plusieurs équipes de développeurs.

Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.

L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs.

Here's a little bit of that history.

## Alternatives { #alternatives }

I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.

As part of that, I needed to investigate, test and use many alternatives.

The history of **FastAPI** is in great part the history of its predecessors.

A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

**Describe the solution you'd like**
A clear and concise description of what you want to happen.

**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.

**Additional context**

        #### 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

   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.

...
```

#### What is OpenAPI for { #what-is-openapi-for }

The OpenAPI schema is what powers the two interactive documentation systems included.

And there are dozens of alternatives, all based on OpenAPI. You could easily add any of those alternatives to your application built with **FastAPI**.

You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.

📥 🐥 🍖 👈 📖.

## 🎛

👤 ✔️ 🏗 🔗 ⏮️ 🏗 📄 📚 1️⃣2️⃣🗓️ (🎰 🏫, 📎 ⚙️, 🔁 👨‍🏭, ☁ 💽, ♒️), ↘️ 📚 🏉 👩‍💻.

🍕 👈, 👤 💪 🔬, 💯 & ⚙️ 📚 🎛.

📖 **FastAPI** 👑 🍕 📖 🚮 ⏪.

🙆‍♀ 📄 [🎛](alternatives.md){.internal-link target=_blank}:

<blockquote markdown="1">

**FastAPI** 🚫🔜 🔀 🚥 🚫 ⏮️ 👷 🎏.

📤 ✔️ 📚 🧰 ✍ ⏭ 👈 ✔️ ℹ 😮 🚮 🏗.

...
```

#### Para que serve o OpenAPI

O *schema* OpenAPI é o que possibilita os dois sistemas de documentação interativos mostrados.

E existem dezenas de alternativas, todas baseadas em OpenAPI. Você pode facilmente adicionar qualquer uma dessas alternativas à sua aplicação criada com **FastAPI**.

$ 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.