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A simple, tiny and lightweight benchmarking library!","maintainers":[{"name":"aslemammad","email":"zorofight94@gmail.com"},{"name":"uzlopak","email":"aras.abbasi@googlemail.com"},{"name":"fraggle","email":"jerome.benoit@piment-noir.org"}],"readme":"# Tinybench 🔎\n\n[![CI](https://github.com/tinylibs/tinybench/actions/workflows/qa.yml/badge.svg?branch=main)](https://github.com/tinylibs/tinybench/actions/workflows/qa.yml)\n[![NPM version](https://badgen.net/npm/v/tinybench?icon=npm)](https://www.npmjs.com/package/tinybench)\n[![Discord](https://badgen.net/discord/online-members/c3UUYNcHrU?icon=discord&label=discord&color=green)](https://discord.gg/c3UUYNcHrU)\n[![neostandard Javascript Code Style]()](https://github.com/neostandard/neostandard)\n\nBenchmark your code easily with Tinybench, a simple, tiny and light-weight `10KB` (`2KB` minified and gzipped) benchmarking library!\nYou can run your benchmarks in multiple JavaScript runtimes, Tinybench is completely based on the Web APIs with proper timing using\n`process.hrtime` or `performance.now`.\n\n- Accurate and precise timing based on the environment\n- Statistically analyzed latency and throughput values: standard deviation, margin of error, variance, percentiles, etc.\n- Concurrency support\n- `Event` and `EventTarget` compatible events\n- No dependencies\n\n_In case you need more tiny libraries like tinypool or tinyspy, please consider submitting an [RFC](https://github.com/tinylibs/rfcs)_\n\n## Installing\n\n```shell\n$ npm install -D tinybench\n```\n\n## Usage\n\nYou can start benchmarking by instantiating the `Bench` class and adding benchmark tasks to it.\n\n```js\nimport { Bench } from 'tinybench'\n\nconst bench = new Bench({ name: 'simple benchmark', time: 100 })\n\nbench\n .add('faster task', () => {\n console.log('I am faster')\n })\n .add('slower task', async () => {\n await new Promise(resolve => setTimeout(resolve, 1)) // we wait 1ms :)\n console.log('I am slower')\n })\n\nawait bench.run()\n\nconsole.log(bench.name)\nconsole.table(bench.table())\n\n// Output:\n// simple benchmark\n// ┌─────────┬───────────────┬───────────────────┬───────────────────────┬────────────────────────┬────────────────────────┬─────────┐\n// │ (index) │ Task name │ Latency avg (ns) │ Latency med (ns) │ Throughput avg (ops/s) │ Throughput med (ops/s) │ Samples │\n// ├─────────┼───────────────┼───────────────────┼───────────────────────┼────────────────────────┼────────────────────────┼─────────┤\n// │ 0 │ 'faster task' │ '63768 ± 4.02%' │ '58954 ± 15255.00' │ '18562 ± 1.67%' │ '16962 ± 4849' │ 1569 │\n// │ 1 │ 'slower task' │ '1542543 ± 7.14%' │ '1652502 ± 167851.00' │ '808 ± 19.65%' │ '605 ± 67' │ 65 │\n// └─────────┴───────────────┴───────────────────┴───────────────────────┴────────────────────────┴────────────────────────┴─────────┘\n```\n\nThe `add` method accepts a task name and a task function, so it can benchmark\nit! This method returns a reference to the Bench instance, so it's possible to\nuse it to create an another task for that instance.\n\nNote that the task name should always be unique in an instance, because Tinybench stores the tasks based\non their names in a `Map`.\n\nAlso note that `tinybench` does not log any result by default. You can extract the relevant stats\nfrom `bench.tasks` or any other API after running the benchmark, and process them however you want.\n\nMore usage examples can be found in the [examples](./examples/) directory.\n\n## Docs\n\n### [`Bench`](https://tinylibs.github.io/tinybench/classes/Bench.html)\n\n### [`Task`](https://tinylibs.github.io/tinybench/classes/Task.html)\n\n### [`TaskResult`](https://tinylibs.github.io/tinybench/interfaces/TaskResult.html)\n\n### `Events`\n\nBoth the `Task` and `Bench` classes extend the `EventTarget` object. So you can attach listeners to different types of events in each class instance using the universal `addEventListener` and `removeEventListener` methods.\n\n#### [`BenchEvents`](https://tinylibs.github.io/tinybench/types/BenchEvents.html)\n\n```js\n// runs on each benchmark task's cycle\nbench.addEventListener('cycle', (evt) => {\n const task = evt.task!;\n});\n```\n\n#### [`TaskEvents`](https://tinylibs.github.io/tinybench/types/TaskEvents.html)\n\n```js\n// runs only on this benchmark task's cycle\ntask.addEventListener('cycle', (evt) => {\n const task = evt.task!;\n});\n```\n\n### [`BenchEvent`](https://tinylibs.github.io/tinybench/types/BenchEvent.html)\n\n## Async Detection\n\nTinybench automatically detects if a task function is asynchronous by\nchecking if provided function is an `AsyncFunction` or if it returns a\n`Promise`, by calling the provided function once.\n\nYou can also explicitly set the `async` option to `true` or `false` when adding\na task, thus avoiding the detection. This can be useful, for example, for\nfunctions that return a `Promise` but are actually synchronous.\n\n```ts\nconst bench = new Bench()\n\nbench.add('asyncTask', async () => {\n}, { async: true })\n\nbench.add('syncTask', () => {\n}, { async: false })\n\nbench.add('syncTaskReturningPromiseAsAsync', () => {\n return Promise.resolve()\n}, { async: true })\n\nbench.add('syncTaskReturningPromiseAsSync', () => {\n // for example running sync logic, which blocks the event loop anyway\n // like fs.writeFileSync\n\n // returns promise maybe for API compatibility\n return Promise.resolve()\n}, { async: false })\n\nawait bench.run()\n```\n\n## Concurrency\n\n- When `mode` is set to `null` (default), concurrency is disabled.\n- When `mode` is set to 'task', each task's iterations (calls of a task function) run concurrently.\n- When `mode` is set to 'bench', different tasks within the bench run concurrently. Concurrent cycles.\n\n```ts\nbench.threshold = 10 // The maximum number of concurrent tasks to run. Defaults to Number.POSITIVE_INFINITY.\nbench.concurrency = 'task' // The concurrency mode to determine how tasks are run.\nawait bench.run()\n```\n\n## Convert task results for `console.table()`\n\nYou can convert the benchmark results to a table format suitable for\n`console.table()` using the `bench.table()` method.\n\n```ts\nconst table = bench.table()\nconsole.table(table)\n```\n\nYou can also customize the table output by providing a convert-function to the `table` method.\n\n```ts\nimport { Bench, type ConsoleTableConverter, formatNumber, mToNs, type Task } from 'tinybench'\n\n/**\n * The default converter function for console.table output.\n * Modify it as needed to customize the table format.\n */\nconst defaultConverter: ConsoleTableConverter = (\n task: Task\n): Record => {\n const state = task.result.state\n return {\n 'Task name': task.name,\n ...(state === 'aborted-with-statistics' || state === 'completed'\n ? {\n 'Latency avg (ns)': `${formatNumber(mToNs(task.result.latency.mean))} \\xb1 ${task.result.latency.rme.toFixed(2)}%`,\n 'Latency med (ns)': `${formatNumber(mToNs(task.result.latency.p50))} \\xb1 ${formatNumber(mToNs(task.result.latency.mad))}`,\n 'Throughput avg (ops/s)': `${Math.round(task.result.throughput.mean).toString()} \\xb1 ${task.result.throughput.rme.toFixed(2)}%`,\n 'Throughput med (ops/s)': `${Math.round(task.result.throughput.p50).toString()} \\xb1 ${Math.round(task.result.throughput.mad).toString()}`,\n Samples: task.result.latency.samplesCount,\n }\n : state !== 'errored'\n ? {\n 'Latency avg (ns)': 'N/A',\n 'Latency med (ns)': 'N/A',\n 'Throughput avg (ops/s)': 'N/A',\n 'Throughput med (ops/s)': 'N/A',\n Samples: 'N/A',\n Remarks: state,\n }\n : {\n Error: task.result.error.message,\n Stack: task.result.error.stack ?? 'N/A',\n }),\n ...(state === 'aborted-with-statistics' && {\n Remarks: state,\n }),\n }\n}\n\nconst bench = new Bench({ name: 'custom table benchmark', time: 100 })\n// add tasks...\n\nconsole.table(bench.table(defaultConverter))\n```\n\n## Retaining Samples\n\nBy default Tinybench does not keep the samples for `latency` and `throughput` to\nminimize memory usage. Enable sample retention if you need the raw samples for\nplotting, custom analysis, or exporting results.\n\nYou can enable samples retention at the bench level by setting the\n`retainSamples` option to `true` when creating a `Bench` instance:\n\n```ts\nconst bench = new Bench({ retainSamples: true })\n```\n\nYou can also enable samples retention by setting the `retainSamples` option to\n`true` when adding a task:\n\n```ts\nbench.add('task with samples', () => {\n // Task logic here\n}, { retainSamples: true })\n```\n\n## Timestamp Providers\n\nTinybench can utilize different timestamp providers for measuring time intervals.\nBy default it uses `performance.now()`.\n\nThe `timestampProvider` option can be set when creating a `Bench` instance. It\naccepts either a `TimestampProvider` object or shorthands for the common\nproviders `hrtimeNow` and `performanceNow`.\n\nIf you use `bun` runtime, you can also use `bunNanoseconds` shorthand.\n\nYou can set the `timestampProvider` to `auto` to let Tinybench choose the most\nprecise available timestamp provider based on the runtime.\n\n```ts\nimport { Bench } from 'tinybench'\n\nconst bench = new Bench({\n timestampProvider: 'hrtimeNow' // or 'performanceNow', 'bunNanoseconds', 'auto'\n})\n```\n\nIf you want to provide a custom timestamp provider, you can create an object that implements\nthe `TimestampProvider` interface:\n\n```ts\nimport { Bench, TimestampProvider } from 'tinybench'\n\n// Custom timestamp provider using Date.now()\nconst dateNowTimestampProvider: TimestampProvider = {\n name: 'dateNow', // name of the provider\n fn: Date.now, // function that returns the current timestamp\n toMs: ts => ts, // convert the timestamp to milliseconds\n fromMs: ts => ts // convert milliseconds to the format used by fn()\n}\n\nconst bench = new Bench({\n timestampProvider: dateNowTimestampProvider\n})\n```\n\nYou can also set the `now` option to a function that returns the current timestamp.\nIt will be converted to a `TimestampProvider` internally.\n\n```ts\nimport { Bench } from 'tinybench'\n\nconst bench = new Bench({\n now: Date.now\n})\n```\n\n## Aborting Benchmarks\n\nTinybench supports aborting benchmarks using `AbortSignal` at both the bench and task levels:\n\n### Bench-level Abort\n\nAbort all tasks in a benchmark by passing a signal to the `Bench` constructor:\n\n```ts\nconst controller = new AbortController()\n\nconst bench = new Bench({ signal: controller.signal })\n\nbench\n .add('task1', () => {\n // This will be aborted\n })\n .add('task2', () => {\n // This will also be aborted\n })\n\n// Abort all tasks\ncontroller.abort()\n\nawait bench.run()\n// Both tasks will be aborted\n```\n\n### Task-level Abort\n\nAbort individual tasks without affecting other tasks by passing a signal to the task options:\n\n```ts\nconst controller = new AbortController()\n\nconst bench = new Bench()\n\nbench\n .add('abortable task', () => {\n // This task can be aborted independently\n }, { signal: controller.signal })\n .add('normal task', () => {\n // This task will continue normally\n })\n\n// Abort only the first task\ncontroller.abort()\n\nawait bench.run()\n// Only 'abortable task' will be aborted, 'normal task' continues\n```\n\n### Abort During Execution\n\nYou can abort benchmarks while they're running:\n\n```ts\nconst controller = new AbortController()\n\nconst bench = new Bench({ time: 10000 }) // Long-running benchmark\n\nbench.add('long task', async () => {\n await new Promise(resolve => setTimeout(resolve, 100))\n}, { signal: controller.signal })\n\n// Abort after 1 second\nsetTimeout(() => controller.abort(), 1000)\n\nawait bench.run()\n// Task will stop after ~1 second instead of running for 10 seconds\n```\n\n### Abort Events\n\nBoth `Bench` and `Task` emit `abort` events when aborted:\n\n```ts\nconst controller = new AbortController()\nconst bench = new Bench()\n\nbench.add('task', () => {\n // Task function\n}, { signal: controller.signal })\n\nconst task = bench.getTask('task')\n\n// Listen for abort events\ntask.addEventListener('abort', () => {\n console.log('Task aborted!')\n})\n\nbench.addEventListener('abort', () => {\n console.log('Bench received abort event!')\n})\n\ncontroller.abort()\nawait bench.run()\n```\n\n**Note:** When a task is aborted, `task.result.aborted` will be `true`, and the task will have completed any iterations that were running when the abort signal was received.\n\n## Prior art\n\n- [Benchmark.js](https://github.com/bestiejs/benchmark.js)\n- [mitata](https://github.com/evanwashere/mitata/)\n- [tatami-ng](https://github.com/poolifier/tatami-ng)\n- [Bema](https://github.com/prisma-labs/bema)\n\n## Authors\n\n|
Mohammad Bagher |\n| ------------------------------------------------------------------------------------------------------------------------------------------------ |\n\n## Credits\n\n|
Uzlopak |
poyoho |\n| ------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------- |\n\n## Contributing\n\nFeel free to create issues/discussions and then PRs for the project!\n\n## Sponsors\n\nYour sponsorship can make a huge difference in continuing our work in open source!\n\n

\n \n \n \n

\n","readmeFilename":"README.md"}