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  1. docs/zh/docs/advanced/wsgi.md

    # 包含 WSGI - Flask,Django,其它
    
    您可以挂载多个 WSGI 应用,正如您在 [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}, [Behind a Proxy](behind-a-proxy.md){.internal-link target=_blank} 中所看到的那样。
    
    为此, 您可以使用 `WSGIMiddleware` 来包装你的 WSGI 应用,如:Flask,Django,等等。
    
    ## 使用 `WSGIMiddleware`
    
    您需要导入 `WSGIMiddleware`。
    
    然后使用该中间件包装 WSGI 应用(例如 Flask)。
    
    之后将其挂载到某一个路径下。
    
    ```Python hl_lines="2-3  22"
    {!../../../docs_src/wsgi/tutorial001.py!}
    ```
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  2. docs/en/docs/alternatives.md

    ### <a href="https://flask-apispec.readthedocs.io/en/latest/" class="external-link" target="_blank">Flask-apispec</a>
    
    It's a Flask plug-in, that ties together Webargs, Marshmallow and APISpec.
    
    It uses the information from Webargs and Marshmallow to automatically generate OpenAPI schemas, using APISpec.
    
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  3. docs/de/docs/benchmarks.md

        * Aber es bietet Ihnen die Tools zum Erstellen einfacher Webanwendungen, mit Routing basierend auf Pfaden, usw.
        * Wenn Sie Starlette vergleichen, vergleichen Sie es mit Webframeworks (oder Mikroframeworks) wie Sanic, Flask, Django, usw.
    * **FastAPI**:
        * So wie Starlette Uvicorn verwendet und nicht schneller als dieses sein kann, verwendet **FastAPI** Starlette, sodass es nicht schneller als dieses sein kann.
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  4. docs/ru/docs/benchmarks.md

        * Зато он предоставляет Вам инструменты для создания простых веб-приложений с обработкой маршрутов URL и т.д.
        * Starlette следует сравнивать с Sanic, Flask, Django и другими веб-фреймворками (или микрофреймворками).
    
    * **FastAPI**:
        * Так же как Starlette использует Uvicorn и не может быть быстрее него, **FastAPI** использует Starlette, то есть он не может быть быстрее Starlette.
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  5. docs/es/docs/benchmarks.md

        * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks).
    * **FastAPI**:
        * De la misma manera que Starlette usa Uvicorn y no puede ser más rápido que él, **FastAPI** usa Starlette, por lo que no puede ser más rápido que él.
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  6. docs/en/docs/benchmarks.md

        * But it provides you the tools to build simple web applications, with routing based on paths, etc.
        * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks).
    * **FastAPI**:
        * The same way that Starlette uses Uvicorn and cannot be faster than it, **FastAPI** uses Starlette, so it cannot be faster than it.
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  7. docs/em/docs/alternatives.md

    * <a href="https://github.com/tiangolo/full-stack-flask-couchbase" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-flask-couchbase</a>
    * <a href="https://github.com/tiangolo/full-stack-flask-couchdb" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-flask-couchdb</a>
    
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  8. docs/de/docs/project-generation.md

    * **Sicheres Passwort**-Hashing standardmäßig.
    * **JWT-Token**-Authentifizierung.
    * **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können).
    * Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf).
    * **Alembic**-Migrationen.
    * **CORS** (Cross Origin Resource Sharing).
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  9. docs/ja/docs/alternatives.md

    FlaskFlask-apispec、Marshmallow、Webargsの組み合わせは、**FastAPI**を構築するまで私のお気に入りのバックエンドスタックでした。
    
    これを使うことで、いくつかのFlaskフルスタックジェネレータを作成することになりました。これらは私 (といくつかの外部のチーム) が今まで使ってきたメインのスタックです。
    
    * <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>
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  10. docs/fr/docs/benchmarks.md

        * Cependant il nous apporte les outils pour construire une application web simple, avec un routage basé sur des chemins, etc.
        * Si on compare Starlette, il faut le comparer à d'autres frameworks web (ou micorframework) comme Sanic, Flask, Django, etc.
    * **FastAPI** :
        * Comme Starlette, FastAPI utilise Uvicorn et ne peut donc pas être plus rapide que ce dernier.
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