/// check | 启发 **FastAPI**：

寻找获得卓越性能的方法。

与 Hug（Hug 基于 Falcon）一起，启发 **FastAPI** 在函数中声明一个 `response` 参数。尽管在 FastAPI 中它是可选的，主要用于设置 headers、cookies 和可选的状态码。

///

### [Molten](https://moltenframework.com/) { #molten }

我在构建 **FastAPI** 的早期阶段发现了 Molten。它有不少相似的想法：

* 基于 Python 类型提示。
* 从这些类型获得校验与文档。
* 依赖注入系统。

它没有使用像 Pydantic 这样的第三方数据校验、序列化与文档库，而是有自己的实现。因此这些数据类型定义不太容易在其他地方复用。

 *
 * <p>To post an event, simply provide the event object to the {@link #post(Object)} method. The
 * EventBus instance will determine the type of event and route it to all registered listeners.
 *
 * <p>Events are routed based on their type &mdash; an event will be delivered to any subscriber for
 * any type to which the event is assignable. This includes implemented interfaces, all

    * 따라서 FastAPI를 사용함으로써 개발 시간, 버그, 코드 라인을 줄일 수 있으며, FastAPI를 사용하지 않았을 때와 동일한 성능(또는 더 나은 성능)을 얻을 수 있을 것입니다(코드에서 모두 구현해야 하기 때문에).

Bien que dans FastAPI, il est facultatif, et est utilisé principalement pour définir les en-têtes, les cookies, et les codes de statut alternatifs.

///

### [Molten](https://moltenframework.com/) { #molten }

J'ai découvert Molten lors des premières étapes de développement de **FastAPI**. Et il a des idées assez similaires :

* Basé sur les annotations de type Python.
* Validation et documentation via ces types.

Хоча у FastAPI це необов’язково, і використовується в основному для встановлення заголовків, файлів cookie та альтернативних кодів статусу.

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### [Molten](https://moltenframework.com/) { #molten }

Я відкрив для себе Molten на перших етапах створення **FastAPI**. І він має досить схожі ідеї:

* Базується на підказках типу Python.
* Перевірка та документація цих типів.
* Система впровадження залежностей.

 * <li><dfn>Private Remote Repository</dfn>: Organizations often maintain their own private remote repositories, which may host proprietary or custom-built artifacts that are not available in the central repository. These repositories...

        project.getPluginManager().apply(RestTestBasePlugin.class);
        var extension = project.getExtensions().getByType(PluginPropertiesExtension.class);

        // We've ported this from multiple build scripts where we see this pattern into
        // an extension method as a first step of consolidation.
        // We might want to port this into a general pattern later on.
        project.getExtensions()

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server

     */
    public String getMatchExpression() {
        return matchExpression;
    }

    /**
     * Sets the match expression used to determine if documents should be boosted.
     *
     * @param expression the match expression string
     */
    public void setMatchExpression(final String expression) {
        matchExpression = expression;
    }

    * Se você quer fazer comparações com o FastAPI, compare com um _framework_  (ou conjunto de ferramentas) para aplicações _web_ que forneça validação de dados, serialização e documentação, como Flask-apispec, NestJS, Molten, etc. _Frameworks_ com validação de dados automática, serialização e documentação integradas....