An accurate, runtime-agnostic measure loop for benchmarking purposes.
import { gc, hrtime } from 'measure-loop/env'; // Auto detect available functions
import { createSideEffect } from 'measure-loop/side-effect'; // Avoid calls from being optimized out
import { measure } from 'measure-loop/measure';
const result = await measure(
() => {
createSideEffect(performance.now());
},
gc,
hrtime
);
// Run and collect timings
console.log('runtimes:', result.runtimes);To run:
bun run bench.ts
# Expose manual GC for V8-based runtime.
node --expose-gc bench.ts
deno run --v8-flags=--expose-gc bench.ts
...To collect GC time:
import { gc, hrtime } from 'measure-loop/env';
import { createSideEffect } from 'measure-loop/side-effect';
import { measure } from 'measure-loop/measure';
const result = await measure(
() => {
createSideEffect(performance.now());
},
gc,
hrtime,
{ measureGC: true }
);
console.log('runtimes:', result.runtimes);
console.log('gcs:', result.gcs);The loop implementation is based on mitata. Check it out it's a good library :).
