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  1. docs/en/docs/benchmarks.md

        * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have the same overhead as if it was built using FastAPI. And in many cases, this data validation and serialization...
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  2. docs/de/docs/benchmarks.md

        * Wenn Sie Uvicorn vergleichen, vergleichen Sie es mit Anwendungsservern wie Daphne, Hypercorn, uWSGI, usw.
    * **Starlette**:
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  3. docs/en/docs/advanced/custom-response.md

    But if you are certain that the content that you are returning is **serializable with JSON**, you can pass it directly to the response class and avoid the extra overhead that FastAPI would have by passing your return content through the `jsonable_encoder` before passing it to the response class.
    
    ```Python hl_lines="2  7"
    {!../../../docs_src/custom_response/tutorial001b.py!}
    ```
    
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