!@thi.ng/bench

!npm downloads

> [!NOTE]
> This is one of 214 standalone projects, maintained as part
> of the @thi.ng/umbrella monorepo
> and anti-framework.
>
> 🚀 Please help me to work full-time on these projects by sponsoring me on
> GitHub. Thank you! ❤️

- About
- Status
- Related packages
- Installation
- Dependencies
- Usage examples
- API
- Basic usage
- Benchmarking with statistics
- Benchmark suites
- Output formatting
- Profiling
- Authors
- License

About

Benchmarking & profiling utilities w/ various statistics & formatters (CSV, JSON, Markdown etc.).

> [!IMPORTANT]
> As of 2024-12-27, all timestamp-related functions have been extracted/migrated
> to the new @thi.ng/timestamp package, but are
> still available here as re-exports too.

Status

STABLE - used in production

Search or submit any issues for this package

Related packages

- @thi.ng/csv - Customizable, transducer-based CSV parser/object mapper and transformer
- @thi.ng/markdown-table - Markdown table formatter/generator with support for column alignments

Installation

``bash
yarn add @thi.ng/bench
`

ESM import:

`ts
import * as bench from "@thi.ng/bench";
`

Browser ESM import:

`html

`

JSDelivr documentation

For Node.js REPL:

`js
const bench = await import("@thi.ng/bench");
`

Package sizes (brotli'd, pre-treeshake): ESM: 2.06 KB

Dependencies

- @thi.ng/api
- @thi.ng/timestamp

Note: @thi.ng/api is in _most_ cases a type-only import (not used at runtime)

Usage examples

10 projects in this repo's
/examples
directory are using this package:

| Screenshot | Description | Live demo | Source |
|:--------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------|:---------------------------------------------------------|:--------------------------------------------------------------------------------------|
| | Doodle w/ K-nearest neighbor search result visualization | Demo | Source |
| | K-nearest neighbor search in an hash grid | Demo | Source |
| | Poisson-disk shape-aware sampling, Voronoi & Minimum Spanning Tree visualization | Demo | Source |
| | GPU-based data reduction using thi.ng/shader-ast & WebGL multi-pass pipeline | Demo | Source |
| | Markdown to Hiccup to HTML parser / transformer | Demo | Source |
| | Parser grammar livecoding editor/playground & codegen | Demo | Source |
| | Interactive pixel sorting tool using thi.ng/color & thi.ng/pixel | Demo | Source |
| | Image-based Poisson-disk sampling | Demo | Source |
| | Full umbrella repo doc string search w/ paginated results | Demo | Source |
| | Fork-join worker-based raymarch renderer (JS/CPU only) | Demo | Source |

API

Generated API docs

$3

`ts id:test-functions
// functions to benchmark...
const fib = (n: number) =>
n > 2
? fib(n - 1) + fib(n - 2)
: n > 0
? 1
: 0;

const fib2 = (n: number) => {
const res = [0, 1];
for(let i = 2; i <= n; i++) {
res[i] = res[i - 1] + res[i - 2];
}
return res[n];
};
`

`ts tangle:export/readme1.ts
import { timed, bench } from "@thi.ng/bench";

<>

// measure single execution time
console.log(timed(() => fib(40)));
// 318.86ms
// 102334155

console.log(timed(() => fib2(40)));
// 0.05ms
// 102334155

// measure 1mil iterations (default)
console.log(bench(() => fib(10), 1e6));
// 157.41ms
// 55

console.log(bench(() => fib2(10), 1e6));
// 95.97ms
// 55
`

$3

The benchmark() function executes a number of warmup runs, before
executing the main measurement and producing a number of useful
statistics: mean, median, min/max, 1st/3rd quartile, standard deviation
(as percentage)...

See
api.ts
for configuration options.

Also see the formatting section below for other output
options. This example uses the default format...

`ts tangle:export/readme2.ts
import { benchmark } from "@thi.ng/bench";

<>

benchmark(() => fib(40), { title: "fib", iter: 10, warmup: 5 });
// benchmarking: fib
// warmup... 1480.79ms (5 runs)
// total: 2917.41ms, runs: 10 (@ 1 calls/iter)
// freq: 3.43 ops/sec
// mean: 291.74ms, median: 291.67ms, range: [291.51..292.58]
// q1: 291.55ms, q3: 291.79ms
// sd: 0.10%

// also returns results:
// {
// title: "fib",
// iter: 10,
// size: 1,
// total: 2917.4060010000003,
// freq: 3.4277025537660157,
// mean: 291.74060010000005,
// median: 291.668125,
// min: 291.50624999999997,
// max: 292.581834,
// q1: 291.55116699999996,
// q3: 291.788417,
// sd: 0.10295312107365955,
// }
`

$3

Multiple benchmarks can be run sequentially as suite (also returns an array of
all results):

`ts tangle:export/readme3.ts
import { suite, FORMAT_MD } from "@thi.ng/bench";

<>

suite(
[
{ title: "fib2(10)", fn: () => fib2(10) },
{ title: "fib2(20)", fn: () => fib2(20) },
{ title: "fib2(30)", fn: () => fib2(30) },
{ title: "fib2(40)", fn: () => fib2(40) },
],
{ iter: 10, size: 100000, warmup: 5, format: FORMAT_MD }
)

// | Title| Iter| Size| Total| Frequency| Mean| Median| Min| Max| Q1| Q3| SD%|
// |------------------------|-------:|-------:|-----------:|-----------:|-------:|-------:|-------:|-------:|-------:|-------:|-------:|
// | fib2(10)| 10| 100000| 93.25| 10723774.45| 9.33| 9.25| 8.94| 10.27| 9.03| 9.46| 4.15|
// | fib2(20)| 10| 100000| 110.73| 9030823.33| 11.07| 11.02| 10.91| 11.56| 10.92| 11.10| 1.76|
// | fib2(30)| 10| 100000| 175.10| 5711056.26| 17.51| 17.58| 17.03| 17.65| 17.50| 17.60| 0.96|
// | fib2(40)| 10| 100000| 200.01| 4999765.64| 20.00| 19.71| 19.34| 21.78| 19.55| 19.91| 3.90|
`

Same table as actual Markdown:

| Title| Iter| Size| Total| Frequency| Mean| Median| Min| Max| Q1| Q3| SD%|
|------------------------|-------:|-------:|-----------:|-----------:|-------:|-------:|-------:|-------:|-------:|-------:|-------:|
| fib2(10)| 10| 100000| 93.25| 10723774.45| 9.33| 9.25| 8.94| 10.27| 9.03| 9.46| 4.15|
| fib2(20)| 10| 100000| 110.73| 9030823.33| 11.07| 11.02| 10.91| 11.56| 10.92| 11.10| 1.76|
| fib2(30)| 10| 100000| 175.10| 5711056.26| 17.51| 17.58| 17.03| 17.65| 17.50| 17.60| 0.96|
| fib2(40)| 10| 100000| 200.01| 4999765.64| 20.00| 19.71| 19.34| 21.78| 19.55| 19.91| 3.90|

$3

The following output formatters are available. Custom formatters can be easily
defined (see source for examples). Formatters are configured via the format
option given to benchmark() or suite().

- FORMAT_DEFAULT - default plain text formatting
- FORMAT_CSV - Comma-separated values (w/ column header)
- FORMAT_MD - Markdown table format

$3

Since v3.3.0 the package also provides a basic profiler to take named
measurements and compute derived statistics. The profiler can by dynamically
enabled/disabled, supports recursion and estimates/subtracts its internal
overhead. Results can be obtained as JSON objects or CSV.

`ts
import { Profiler } from "@thi.ng/bench";

// initialize with 1million warmup iterations to compute internal overhead (takes around ~100ms)
const profiler = new Profiler({ warmup: 1e6 });

// recursive function
const countdown = (n, acc = []) => {
profiler.start("countdown");
if (n > 0) countdown(n - 1, (acc.push(n),acc));
profiler.end("countdown");
return acc;
}

countdown(10);
// [ 10, 9, 8, 7, 6, 5, 4, 3, 2, 1 ]

countdown(5);
// [ 5, 4, 3, 2, 1 ]

// obtain results
profiler.deref()
// {
// countdown: {
// id: 'countdown',
// total: 0.028939979283999998,
// timePerCall: 0.0017023517225882353,
// totalPercent: 95.99309794988116,
// calls: 17,
// callsPercent: 100,
// maxDepth: 11
// }
// }

// results formatted as CSV
console.log(profiler.asCSV())
// "id","total (ms)","time/call (ms)","total (%)","calls","calls (%)","max depth"
// "countdown",0.0289,0.0017,17,95.99,100.00,11
`

Authors

- Karsten Schmidt

If this project contributes to an academic publication, please cite it as:

`bibtex
@misc{thing-bench,
title = "@thi.ng/bench",
author = "Karsten Schmidt",
note = "https://thi.ng/bench",
year = 2018
}
``

License

© 2018 - 2026 Karsten Schmidt // Apache License 2.0