"testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
    "groups" : [ {
      "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
      "coverage" : {
        "per_day" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
    "groups" : [ {

            "\"-Porg.gradle.performance.branchName=%teamcity.build.branch%\"",
            "\"-Porg.gradle.performance.db.url=%performance.db.url%\"",
            "\"-Porg.gradle.performance.db.username=%performance.db.username%\"",
            "-DenableTestDistribution=%enableTestDistribution%",
            "-Dorg.gradle.workers.max=%maxParallelForks%",

        params {
            text(
                "performance.baselines",
                type.defaultBaselines,
                display = ParameterDisplay.PROMPT,
                allowEmpty = true,
                description = "The baselines you want to run performance tests against. Empty means default baseline."
            )
            param("performance.channel", performanceTestBuildSpec.channel())

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server
    * **Starlette**: (uses Uvicorn) a web microframework

package util

import jetbrains.buildServer.configs.kotlin.Project

object UtilPerformanceProject : Project({
    id("Util_Performance")
    name = "Performance"

    buildType(AdHocPerformanceScenarioLinux)
    buildType(AdHocPerformanceScenarioWindows)
    buildType(AdHocPerformanceScenarioMacOS)
    buildType(AdHocPerformanceScenarioMacAppleSilicon)

    params {
        param("env.DEVELOCITY_ACCESS_KEY", "%ge.gradle.org.access.key%")

      env:
        # Exclude some projects and configurations that should not contribute to the dependency graph
        DEPENDENCY_GRAPH_EXCLUDE_PROJECTS: ':docs|:internal-performance-testing|:enterprise-plugin-performance|:performance|:internal-integ-testing'

  kubectl create configmap -n istio-system istio-grafana-dashboards \
    --dry-run=client -oyaml \
    --from-file=pilot-dashboard.json="${TMP}/pilot-dashboard.json" \
    --from-file=istio-performance-dashboard.json="${TMP}/istio-performance-dashboard.json"

  echo -e "\n---\n"
  kubectl create configmap -n istio-system istio-services-grafana-dashboards \
    --dry-run=client -oyaml \

) : 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")

apiVersion: v1
description: High Performance Object Storage
name: minio
version: 5.2.0
appVersion: RELEASE.2024-04-18T19-09-19Z
keywords:
  - minio
  - storage
  - object-storage
  - s3
  - cluster
home: https://min.io
icon: https://min.io/resources/img/logo/MINIO_wordmark.png
sources:
- https://github.com/minio/minio
maintainers:
- name: MinIO, Inc

!!! 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>