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  1. docs/de/docs/deployment/server-workers.md

    Und dann wäre die Gunicorn-kompatible **Uvicorn-Worker**-Klasse dafür verantwortlich, die von Gunicorn gesendeten Daten in den ASGI-Standard zu konvertieren, damit FastAPI diese verwenden kann.
    
    ## Gunicorn und Uvicorn installieren
    
    <div class="termy">
    
    ```console
    $ pip install "uvicorn[standard]" gunicorn
    
    ---> 100%
    ```
    
    </div>
    
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  2. docs/zh/docs/deployment/server-workers.md

    **Uvicorn** 有一个 Gunicorn 兼容的worker类。
    
    使用这种组合,Gunicorn 将充当 **进程管理器**,监听 **端口** 和 **IP**。 它会将通信**传输**到运行**Uvicorn类**的worker进程。
    
    然后与Gunicorn兼容的**Uvicorn worker**类将负责将Gunicorn发送的数据转换为ASGI标准以供FastAPI使用。
    
    ## 安装 GunicornUvicorn
    
    <div class="termy">
    
    ```console
    $ pip install "uvicorn[standard]" gunicorn
    
    ---> 100%
    ```
    
    </div>
    
    这将安装带有`standard`扩展包(以获得高性能)的 UvicornGunicorn
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  3. docs/ko/docs/benchmarks.md

        * Uvicorn을 비교할 때는 Daphne, Hypercorn, uWSGI 등의 응용 프로그램 서버와 비교하세요.
    * **Starlette**:
        * Uvicorn 다음으로 좋은 성능을 발휘합니다. 사실 Starlette는 Uvicorn을 사용하여 실행됩니다. 따라서 더 많은 코드를 실행해야 하기 때문에 Uvicorn보다 "느려질" 수밖에 없습니다.
        * 하지만 경로 기반 라우팅 등 간단한 웹 응용 프로그램을 구축할 수 있는 도구를 제공합니다.
        * Starlette를 비교할 때는 Sanic, Flask, Django 등의 웹 프레임워크(또는 마이크로 프레임워크)와 비교하세요.
    * **FastAPI**:
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  4. docs/em/docs/deployment/server-workers.md

    &amp; **Uvicorn** ✔️ **🐁-🔗 👨‍🏭 🎓**.
    
    ⚙️ 👈 🌀, 🐁 🔜 🚫 **🛠️ 👨‍💼**, 👂 🔛 **⛴** &amp; **📢**. &amp; ⚫️ 🔜 **📶** 📻 👨‍🏭 🛠️ 🏃 **Uvicorn 🎓**.
    
    &amp; ⤴️ 🐁-🔗 **Uvicorn 👨‍🏭** 🎓 🔜 🈚 🏭 📊 📨 🐁 🔫 🐩 FastAPI ⚙️ ⚫️.
    
    ## ❎ 🐁 &amp; Uvicorn
    
    <div class="termy">
    
    ```console
    $ pip install "uvicorn[standard]" gunicorn
    
    ---> 100%
    ```
    
    </div>
    
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  5. docs/pt/docs/deployment/docker.md

    Nesse tipo de cenário, provavelmente você desejará ter **um único processo (Uvicorn) por contêiner**, pois já estaria lidando com a replicação no nível do cluster.
    
    Então, nesse caso, você **não** desejará ter um gerenciador de processos como o Gunicorn com trabalhadores Uvicorn, ou o Uvicorn usando seus próprios trabalhadores Uvicorn. Você desejará ter apenas um **único processo Uvicorn** por contêiner (mas provavelmente vários contêineres).
    
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  6. docs/de/docs/deployment/manually.md

    # Einen Server manuell ausführen – Uvicorn
    
    Das Wichtigste, was Sie zum Ausführen einer **FastAPI**-Anwendung auf einer entfernten Servermaschine benötigen, ist ein ASGI-Serverprogramm, wie **Uvicorn**.
    
    Es gibt 3 Hauptalternativen:
    
    * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: ein hochperformanter ASGI-Server.
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  7. docs/em/docs/deployment/manually.md

    # 🏃 💽 ❎ - Uvicorn
    
    👑 👜 👆 💪 🏃 **FastAPI** 🈸 🛰 💽 🎰 🔫 💽 📋 💖 **Uvicorn**.
    
    📤 3️⃣ 👑 🎛:
    
    * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: ↕ 🎭 🔫 💽.
    * <a href="https://hypercorn.readthedocs.io/" class="external-link" target="_blank">Hypercorn</a>: 🔫 💽 🔗 ⏮️ 🇺🇸🔍/2️⃣ &amp; 🎻 👪 🎏 ⚒.
    * <a href="https://github.com/django/daphne" class="external-link" target="_blank">👸</a>: 🔫 💽 🏗 ✳ 📻.
    
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  8. docs/ja/docs/deployment/manually.md

    **FastAPI** を手動でデプロイすることもできます。
    
    以下の様なASGI対応のサーバをインストールする必要があります:
    
    //// tab | Uvicorn
    
    * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, uvloopとhttptoolsを基にした高速なASGIサーバ。
    
    <div class="termy">
    
    ```console
    $ pip install "uvicorn[standard]"
    
    ---> 100%
    ```
    
    </div>
    
    ////
    
    /// tip | "豆知識"
    
    `standard` を加えることで、Uvicornがインストールされ、いくつかの推奨される依存関係を利用するようになります。
    
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  9. docs/fr/docs/deployment/manually.md

    //// tab | Uvicorn
    
    * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, un serveur ASGI rapide comme l'éclair, basé sur uvloop et httptools.
    
    <div class="termy">
    
    ```console
    $ pip install "uvicorn[standard]"
    
    ---> 100%
    ```
    
    </div>
    
    /// tip | "Astuce"
    
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  10. docs/zh-hant/docs/benchmarks.md

    層次結構如下:
    
    * **Uvicorn**:ASGI 伺服器
        * **Starlette**:(使用 Uvicorn)一個網頁微框架
            * **FastAPI**:(使用 Starlette)一個 API 微框架,具有用於建立 API 的多個附加功能、資料驗證等。
    
    * **Uvicorn**:
        * 具有最佳效能,因為除了伺服器本身之外,它沒有太多額外的程式碼。
        * 你不會直接在 Uvicorn 中編寫應用程式。這意味著你的程式碼必須或多或少地包含 Starlette(或 **FastAPI**)提供的所有程式碼。如果你這樣做,你的最終應用程式將具有與使用框架相同的開銷並最大限度地減少應用程式程式碼和錯誤。
        * 如果你要比較 Uvicorn,請將其與 Daphne、Hypercorn、uWSGI 等應用程式伺服器進行比較。
    * **Starlette**:
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