Especificamente, para ver o Uvicorn, Starlette e FastAPI comparados entre si (entre diversas outras ferramentas).

Quanto mais simples o problema resolvido pela ferramenta, melhor será a performance. E a maioria das análises não testa funcionalidades adicionais que são oferecidas pela ferramenta.

A hierarquia é:

* **Uvicorn**: um servidor ASGI
    * **Starlette**: (utiliza Uvicorn) um microframework web

    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "enterprise-plugin-performance",
    "path": "platforms/enterprise/enterprise-plugin-performance",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "enterprise-workers",

    family-names: Ramírez
    email: ******@****.***
identifiers:
repository-code: 'https://github.com/fastapi/fastapi'
url: 'https://fastapi.tiangolo.com'
abstract: >-
  FastAPI framework, high performance, easy to learn, fast to code,
  ready for production
keywords:
  - fastapi
  - pydantic
  - starlette

					"name":"TestDistribution"
				},
				"subprojects":[
					"kotlin-dsl-integ-tests",
					"toolchains-jvm",
					"execution",
					"resources",
					"resources-http",
					"internal-performance-testing",
					"unit-test-fixtures",
					"wrapper-shared",
					"platform-jvm",
					"build-cache-spi",
					"snapshots"
				]
			},
			{
				"parallelizationMethod":{

    long result = 0;
    // Due to the way we shift, we can stop iterating once we've run out of data, the rest
    // of the result already being filled with zeros.

    // This loop is critical to performance, so please check HashBenchmark if altering it.
    int limit = min(length, 8);
    for (int i = 0; i < limit; i++) {
      // Shift value left while iterating logically through the array.

) : Project({
    id("Check")
    name = "Check"
    val performanceTestBucketProvider = StatisticsBasedPerformanceTestBucketProvider(model, File("performance-test-durations.json"), File("performance-tests-ci.json"))

    params {
        param("credentialsStorageType", "credentialsJSON")
        // Disallow Web UI changes to TeamCity settings
        param("teamcity.ui.settings.readOnly", "true")

  }

  /**
   * Returns an immutable array containing the given values, in order.
   *
   * <p><b>Performance note:</b> this method delegates to {@link #copyOf(Collection)} if {@code
   * values} is a {@link Collection}. Otherwise it creates a {@link #builder} and uses {@link
   * Builder#addAll(Iterable)}, with all the performance implications associated with that.
   */
  public static ImmutableDoubleArray copyOf(Iterable<Double> values) {

		}
	}

	if (!globalThis.crypto) {
		throw new Error("globalThis.crypto is not available, polyfill required (crypto.getRandomValues only)");
	}

	if (!globalThis.performance) {
		throw new Error("globalThis.performance is not available, polyfill required (performance.now only)");
	}

	if (!globalThis.TextEncoder) {
		throw new Error("globalThis.TextEncoder is not available, polyfill required");
	}

	if (!globalThis.TextDecoder) {

///

/// 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).

///

### <a href="https://falconframework.org/" class="external-link" target="_blank">Falcon</a>

   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating
   * them until they are needed.  When there is no contention, all