Özellikle, (diğer birçok araç arasında) Uvicorn, Starlette ve FastAPI'ın birlikte karşılaştırıldığını görebilirsiniz.

Aracın çözdüğü problem ne kadar basitse, performansı o kadar iyi olacaktır. Ancak kıyaslamaların çoğu, aracın sağladığı ek özellikleri test etmez.

Hiyerarşi şöyledir:

* **Uvicorn**: bir ASGI sunucusu
    * **Starlette**: (Uvicorn'u kullanır) bir web mikroframeworkü

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "refId": "A"
        }
      ],
      "title": "Performance Dashboard Notes",
      "type": "row"
    },
    {
      "gridPos": {
        "h": 6,
        "w": 24,
        "x": 0,
        "y": 1
      },
      "id": 19,
      "links": [],

Il est très simple et intuitif. Il est conçu pour être facilement extensible et avoir des composants modulaires.

Il offre :

- Des performances vraiment impressionnantes.
- Le support des WebSockets.
- Le support de GraphQL.
- Les tâches d'arrière-plan.

Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.

  }

  private static void runConcurrentlyMutatedTest(WrapWithIterable wrap) {
    /*
     * TODO: Iterate over many array sizes and all possible operation lists,
     * performing adds and removes in different ways.
     */
    runConcurrentlyMutatedTest(elements(), ops(add(1), add(2)), wrap);

    runConcurrentlyMutatedTest(elements(), ops(add(1), nop()), wrap);

* Gerçekten etkileyici bir performansa sahip.Python'un ise en hızlı frameworklerinden bir tanesi, <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">**NodeJS** ve **Go** ile ise eşdeğer performansa sahip.</a>.
* **WebSocket** desteği.
* **GraphQL** desteği.
* Kullanım halinde arka plan işlevleri.

    Ele claramente inspirou Uvicorn e Starlette, que são atualmente mais rápidos que o Sanic em testes de performance abertos.

!!! check "**FastAPI** inspirado para"
    Achar um jeito de ter uma performance insana.

    É por isso que o **FastAPI** é baseado em Starlette, para que ele seja o framework mais rápido disponível (performance testada por terceiros).

internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

 * application-specific ordering in addition to performing general cycle detection.
 *
 * <p><strong>Garbage Collection</strong>
 *
 * <p>In order to allow proper garbage collection of unused locks, the edges of the lock graph are
 * weak references.
 *
 * <p><strong>Performance</strong>
 *
 * <p>The extra bookkeeping done by cycle detecting locks comes at some cost to performance.
 * Benchmarks (as of December 2011) show that:

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MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.