@thi.ng/bench
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3.5.4 • Public • Published

@thi.ng/bench

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[!NOTE] This is one of 192 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

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

Though no public API change (only additions), since v2.0.0 this library internally (via now()) attempts to use high-res ES BigInt timestamps (in Node via process.hrtime.bigint()) or falls back to performance.now() or lacking that to Date.now(). In all cases, returns a (possibly rounded) nanosec-scale timestamp, either as bigint or number. The timeDiff() function can be used to compute the difference between two such timestamp and return it as milliseconds.

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

yarn add @thi.ng/bench

ESM import:

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

Browser ESM import:

<script type="module" src="https://esm.run/@thi.ng/bench"></script>

JSDelivr documentation

For Node.js REPL:

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

Package sizes (brotli'd, pre-treeshake): ESM: 2.13 KB

Dependencies

Usage examples

Several 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
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
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

Basic usage

// 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];
};
import { timed, bench } from "@thi.ng/bench";

<<test-functions>>

// 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

Benchmarking with statistics

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...

import { benchmark } from "@thi.ng/bench";

<<test-functions>>

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,
// }

Benchmark suites

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

import { suite, FORMAT_MD } from "@thi.ng/bench";

<<test-functions>>

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

Output formatting

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

Profiling

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.

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:

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

License

© 2018 - 2024 Karsten Schmidt // Apache License 2.0

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Version

3.5.4

License

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Collaborators

  • thi.ng