Benchmark your code easily with Tinybench, a simple, tiny and light-weight 7KB
(2KB
minified and gzipped)
benchmarking library!
You can run your benchmarks in multiple JavaScript runtimes, Tinybench is
completely based on the Web APIs with proper timing using process.hrtime
or
performance.now
.
- Accurate and precise timing based on the environment
Event
andEventTarget
compatible events- Statistically analyzed values
- Calculated Percentiles
- Fully detailed results
- No dependencies
In case you need more tiny libraries like tinypool or tinyspy, please consider submitting an RFC
$ npm install -D tinybench
You can start benchmarking by instantiating the Bench
class and adding
benchmark tasks to it.
import { Bench } from 'tinybench';
const bench = new Bench({ time: 100 });
bench
.add('faster task', () => {
console.log('I am faster')
})
.add('slower task', async () => {
await new Promise(r => setTimeout(r, 1)) // we wait 1ms :)
console.log('I am slower')
})
.todo('unimplemented bench')
await bench.run();
console.table(bench.table());
// Output:
// ┌─────────┬───────────────┬──────────┬────────────────────┬───────────┬─────────┐
// │ (index) │ Task Name │ ops/sec │ Average Time (ns) │ Margin │ Samples │
// ├─────────┼───────────────┼──────────┼────────────────────┼───────────┼─────────┤
// │ 0 │ 'faster task' │ '41,621' │ 24025.791819761525 │ '±20.50%' │ 4257 │
// │ 1 │ 'slower task' │ '828' │ 1207382.7838323202 │ '±7.07%' │ 83 │
// └─────────┴───────────────┴──────────┴────────────────────┴───────────┴─────────┘
console.table(
bench.todos.map(({ name }) => ({
'Task name': name,
})),
);
// Output:
// ┌─────────┬───────────────────────┐
// │ (index) │ Task name │
// ├─────────┼───────────────────────┤
// │ 0 │ 'unimplemented bench' │
// └─────────┴───────────────────────┘
The add
method accepts a task name and a task function, so it can benchmark
it! This method returns a reference to the Bench instance, so it's possible to
use it to create an another task for that instance.
Note that the task name should always be unique in an instance, because Tinybench stores the tasks based
on their names in a Map
.
Also note that tinybench
does not log any result by default. You can extract the relevant stats
from bench.tasks
or any other API after running the benchmark, and process them however you want.
The Benchmark instance for keeping track of the benchmark tasks and controlling them.
Options:
export type Options = {
/**
* time needed for running a benchmark task (milliseconds) @default 500
*/
time?: number;
/**
* number of times that a task should run if even the time option is finished @default 10
*/
iterations?: number;
/**
* function to get the current timestamp in milliseconds
*/
now?: () => number;
/**
* An AbortSignal for aborting the benchmark
*/
signal?: AbortSignal;
/**
* warmup time (milliseconds) @default 100ms
*/
warmupTime?: number;
/**
* warmup iterations @default 5
*/
warmupIterations?: number;
/**
* setup function to run before each benchmark task (cycle)
*/
setup?: Hook;
/**
* teardown function to run after each benchmark task (cycle)
*/
teardown?: Hook;
};
export type Hook = (task: Task, mode: "warmup" | "run") => void | Promise<void>;
async run()
: run the added tasks that were registered using theadd
methodasync warmup()
: warm up the benchmark tasksreset()
: reset each task and remove its resultadd(name: string, fn: Fn, opts?: FnOpts)
: add a benchmark task to the task mapFn
:() => any | Promise<any>
FnOpts
:{}
: a set of optional functions run during the benchmark lifecycle that can be used to set up or tear down test data or fixtures without affecting the timing of each taskbeforeAll?: () => any | Promise<any>
: invoked once before iterations offn
beginbeforeEach?: () => any | Promise<any>
: invoked before each timefn
is executedafterEach?: () => any | Promise<any>
: invoked after each timefn
is executedafterAll?: () => any | Promise<any>
: invoked once after all iterations offn
have finished
remove(name: string)
: remove a benchmark task from the task maptable()
: table of the tasks resultsget results(): (TaskResult | undefined)[]
: (getter) tasks results as an arrayget tasks(): Task[]
: (getter) tasks as an arraygetTask(name: string): Task | undefined
: get a task based on the nametodo(name: string, fn?: Fn, opts: FnOptions)
: add a benchmark todo to the todo mapget todos(): Task[]
: (getter) tasks todos as an array
A class that represents each benchmark task in Tinybench. It keeps track of the results, name, Bench instance, the task function and the number of times the task function has been executed.
constructor(bench: Bench, name: string, fn: Fn, opts: FnOptions = {})
bench: Bench
name: string
: task namefn: Fn
: the task functionopts: FnOptions
: Task optionsruns: number
: the number of times the task function has been executedresult?: TaskResult
: the result objectasync run()
: run the current task and write the results inTask.result
objectasync warmup()
: warm up the current tasksetResult(result: Partial<TaskResult>)
: change the result object valuesreset()
: reset the task to make theTask.runs
a zero-value and remove theTask.result
object
export interface FnOptions {
/**
* An optional function that is run before iterations of this task begin
*/
beforeAll?: (this: Task) => void | Promise<void>;
/**
* An optional function that is run before each iteration of this task
*/
beforeEach?: (this: Task) => void | Promise<void>;
/**
* An optional function that is run after each iteration of this task
*/
afterEach?: (this: Task) => void | Promise<void>;
/**
* An optional function that is run after all iterations of this task end
*/
afterAll?: (this: Task) => void | Promise<void>;
}
the benchmark task result object.
export type TaskResult = {
/*
* the last error that was thrown while running the task
*/
error?: unknown;
/**
* The amount of time in milliseconds to run the benchmark task (cycle).
*/
totalTime: number;
/**
* the minimum value in the samples
*/
min: number;
/**
* the maximum value in the samples
*/
max: number;
/**
* the number of operations per second
*/
hz: number;
/**
* how long each operation takes (ms)
*/
period: number;
/**
* task samples of each task iteration time (ms)
*/
samples: number[];
/**
* samples mean/average (estimate of the population mean)
*/
mean: number;
/**
* samples variance (estimate of the population variance)
*/
variance: number;
/**
* samples standard deviation (estimate of the population standard deviation)
*/
sd: number;
/**
* standard error of the mean (a.k.a. the standard deviation of the sampling distribution of the sample mean)
*/
sem: number;
/**
* degrees of freedom
*/
df: number;
/**
* critical value of the samples
*/
critical: number;
/**
* margin of error
*/
moe: number;
/**
* relative margin of error
*/
rme: number;
/**
* p75 percentile
*/
p75: number;
/**
* p99 percentile
*/
p99: number;
/**
* p995 percentile
*/
p995: number;
/**
* p999 percentile
*/
p999: number;
};
Both the Task
and Bench
objects extend the EventTarget
object, so you can attach listeners to different types of events
in each class instance using the universal addEventListener
and
removeEventListener
.
/**
* Bench events
*/
export type BenchEvents =
| "abort" // when a signal aborts
| "complete" // when running a benchmark finishes
| "error" // when the benchmark task throws
| "reset" // when the reset function gets called
| "start" // when running the benchmarks gets started
| "warmup" // when the benchmarks start getting warmed up (before start)
| "cycle" // when running each benchmark task gets done (cycle)
| "add" // when a Task gets added to the Bench
| "remove" // when a Task gets removed of the Bench
| "todo"; // when a todo Task gets added to the Bench
/**
* task events
*/
export type TaskEvents =
| "abort"
| "complete"
| "error"
| "reset"
| "start"
| "warmup"
| "cycle";
For instance:
// runs on each benchmark task's cycle
bench.addEventListener("cycle", (e) => {
const task = e.task!;
});
// runs only on this benchmark task's cycle
task.addEventListener("cycle", (e) => {
const task = e.task!;
});
export type BenchEvent = Event & {
task: Task | null;
};
if you want more accurate results for nodejs with process.hrtime
, then import
the hrtimeNow
function from the library and pass it to the Bench
options.
import { hrtimeNow } from 'tinybench';
It may make your benchmarks slower, check #42.
Mohammad Bagher |
---|
Uzlopak |
poyoho |
---|
Feel free to create issues/discussions and then PRs for the project!
Your sponsorship can make a huge difference in continuing our work in open source!