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  1. 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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  2. docs/em/docs/deployment/server-workers.md

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

        * Uvicorn подлежит сравнению с Daphne, Hypercorn, uWSGI и другими веб-серверами.
    
    * **Starlette**:
        * Будет уступать Uvicorn по производительности. Фактически Starlette управляется Uvicorn и из-за выполнения большего количества кода он не может быть быстрее, чем Uvicorn.
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  5. 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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  6. docs/es/docs/benchmarks.md

        * Si estás comparando Uvicorn, compáralo con Daphne, Hypercorn, uWSGI, etc. Servidores de aplicaciones.
    * **Starlette**:
        * Tendrá el siguiente mejor rendimiento, después de Uvicorn. De hecho, Starlette usa Uvicorn para ejecutarse. Así que probablemente solo pueda ser "más lento" que Uvicorn por tener que ejecutar más código.
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  7. docs/en/docs/benchmarks.md

        * If you are comparing Uvicorn, compare it against Daphne, Hypercorn, uWSGI, etc. Application servers.
    * **Starlette**:
        * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
        * But it provides you the tools to build simple web applications, with routing based on paths, etc.
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  8. 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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  9. 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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  10. docs/fr/docs/benchmarks.md

        * Si on compare Uvicorn, il faut le comparer à d'autre applications de serveurs comme Daphne, Hypercorn, uWSGI, etc.
    * **Starlette** :
        * A les seconde meilleures performances après Uvicorn. Starlette utilise en réalité Uvicorn. De ce fait, il ne peut qu’être plus "lent" qu'Uvicorn car il requiert l'exécution de plus de code.
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