* 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.

### Hey API { #hey-api }

Once we have a FastAPI app with the models, we can use Hey API to generate a TypeScript client. The fastest way to do that is via npx.

```sh
npx @hey-api/openapi-ts -i http://localhost:8000/openapi.json -o src/client
```

This will generate a TypeScript SDK in `./src/client`.

      INSTANCE;

      /*
       * Static final fields are presumed to be fastest, based on our experience with
       * UnsignedBytesBenchmark. TODO(cpovirk): benchmark this
       */
      /*
       * A CopyOnWriteArraySet<WeakReference> is faster than a newSetFromMap of a MapMaker map with
       * weakKeys() and concurrencyLevel(1), even up to at least 12 cached exception types.

There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - for settings management.
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - for extra types to be used with Pydantic.

Additional optional FastAPI dependencies:

There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - for settings management.
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - for extra types to be used with Pydantic.

Additional optional FastAPI dependencies:

With **FastAPI** you get all of **Starlette**'s features (as FastAPI is just Starlette on steroids):

* Seriously impressive performance. It is [one of the fastest Python frameworks available, on par with **NodeJS** and **Go**](https://github.com/encode/starlette#performance).
* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.

It was found that the directory staging committer was the fastest among the three, S3A connector should be configured with the following parameters for optimal results:

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "s3a"

fs.s3a.access.key=minio

It clearly inspired Uvicorn and Starlette, that are currently faster than Sanic in open benchmarks.

///

/// check | Inspired **FastAPI** to

Find a way to have a crazy performance.

That's why **FastAPI** is based on Starlette, as it is the fastest framework available (tested by third-party benchmarks).

///

      /*
       * The following static final fields exist for performance reasons.
       *
       * In UnsignedBytesBenchmark, accessing the following objects via static final fields is the
       * fastest (more than twice as fast as the Java implementation, vs ~1.5x with non-final static
       * fields, on x86_32) under the Hotspot server compiler. The reason is obviously that the

- For relative URLs, only translate the link text. Do not translate the URL or its parts.

Example:

Source (English):

```
[One of the fastest Python frameworks available](#performance)
```

Result (German):

```
[Eines der schnellsten verfügbaren Python-Frameworks](#performance)
```