[ {
  "scenario" : "org.gradle.performance.regression.android.AndroidIncrementalExecutionPerformanceTest.abi change",
  "durations" : [ {
    "testProject" : "nowInAndroidBuild",
    "linux" : 266,
    "windows" : 392,
    "macOs" : 209
  }, {
    "testProject" : "santaTrackerAndroidBuild",
    "linux" : 630,
    "windows" : 988,
    "macOs" : 462
  } ]
}, {

    "groups" : [ {
      "testProject" : "largeJavaMultiProject",
      "coverage" : {
        "per_week" : [ "linux" ]
      }
    }, {
      "testProject" : "largeMonolithicJavaProject",
      "coverage" : {
        "per_week" : [ "linux" ]
      }
    } ]
  }, {

      "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": [],

    HISTORICAL_PERFORMANCE("Historical Performance", "Once a week: Run performance tests for multiple Gradle versions", "HistoricalPerformance"),
    EXPERIMENTAL_VFS_RETENTION("Experimental FS Watching", "On demand checks to run tests with file system watching enabled", "ExperimentalVfsRetention"),
    EXPERIMENTAL_PERFORMANCE("Experimental Performance", "Try out new performance test running", "ExperimentalPerformance");

    val fileNamePostfix = "$testProject-performance-scenarios.csv"
    val performanceTestSplitDirectoryName = "performance-test-splits"
    val unixScript = """
mkdir -p $performanceTestSplitDirectoryName
rm -rf $performanceTestSplitDirectoryName/*-$fileNamePostfix
cat > $performanceTestSplitDirectoryName/$action-$fileNamePostfix << EOL
${csvLines.joinToString("\n")}
EOL

echo "Performance tests to be ${action}d in this build"

    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).

!!! 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>

/kotlin-native/klib/ "Kotlin Common Backend"
/kotlin-native/tools/benchmarks "Kotlin Native" "Kotlin Performance QA"
/kotlin-native/tools/benchmarksAnalyzer "Kotlin Native" "Kotlin Performance QA"
/kotlin-native/tools/performance-server "Kotlin Native" "Kotlin Performance QA"
/kotlin-native/performance "Kotlin Native" "Kotlin Performance QA"

/libraries/examples/annotation-processor-example/ "Kotlin Compiler Core"

---

FastAPI é um moderno e rápido (alta performance) _framework web_ para construção de APIs com Python, baseado nos _type hints_ padrões do Python.

Os recursos chave são:

* **Rápido**: alta performance, equivalente a **NodeJS** e **Go** (graças ao Starlette e Pydantic). [Um dos frameworks mais rápidos disponíveis](#performance).

E esse é o mesmo nível de performance que você tem com o **FastAPI**.