`hurried`

Parallel execution for Node.js, done right.

Workers · Pools · Parallel iterators · A typed event bus across the worker boundary — all behind an API that fits on a sticky note.

Documentation · Quick start · Bus showcase · Patterns · API · Examples

30 seconds to your first parallel task

import { Thread } from 'hurried';

const thread = Thread.fromFunction((n: number) => n * 2);

await thread.run(21);        // → 42, on a worker thread
await thread.terminate();

That's it. Three lines, fully typed, CPU work off the event loop, no separate worker file.

Need progress events? Add a typed Events map and use the bus:

import { Thread } from 'hurried';

type Events = { progress: { done: number; total: number } };

const thread = Thread.fromFunction<Events, number, number>((bus, n) => {
  for (let i = 0; i < n; i++) {
    if (i % 1_000_000 === 0) bus.emit('progress', { done: i, total: n });
  }
  return n;
});

thread.on('progress', (p) => console.log(`${p.done}/${p.total}`));

await thread.run(50_000_000);
await thread.terminate();

Live, end-to-end-typed progress events across the worker boundary. That's the whole demo.

✨ Why hurried?

CPU-bound JavaScript blocks the event loop. The standard Node fix — worker_threads — is powerful but unfriendly: a separate file, untyped postMessage, no pools, no progress events, no cancellation. hurried is a small library that wraps that primitive in an API real codebases actually want to use.

Feature	hurried	worker_threads (raw)	workerpool / piscina
Inline-function workers	✅ one call	❌ separate file	partial
Typed RPC `await thread.run(arg)`	✅	❌ DIY	partial
Typed event bus (`thread.on('progress', …)`)	✅	❌ untyped	rare
Worker pool with queue + backpressure	✅ `Pool`	❌	✅
Parallel map / array helpers	✅ `mapParallel`	❌	partial
Streaming async-iterator results (ordered or as-completed)	✅ `mapParallelStream`	❌	partial
Retry + exponential backoff (per call, every primitive)	✅ `{ retry: 3 }`	❌	❌
Fault-tolerant batches (`allSettled` for workers)	✅ `mapParallelSettled`	❌	❌
AbortSignal + per-call timeout	✅	❌	partial
Dual ESM + CJS, zero deps	✅	n/a	varies
First-class TypeScript (types travel across the worker boundary)	✅	❌	partial

💡 What makes hurried different? Every primitive — Thread, Pool, parallel, mapParallel — speaks the same tiny API: run / on / emit / terminate. Learn it once, scale from a single worker to a 16-CPU pool without rewriting your code.

📦 Install

npm  install hurried
pnpm add     hurried
yarn add     hurried
bun  add     hurried

Requires Node.js 18.17+. Ships ESM + CJS + .d.ts — no build step on your side.

⚡ Quick start

1) Run a single inline task

import { Thread } from 'hurried';

const t = Thread.fromFunction((n: number) => n * 2);
await t.run(21);            // → 42
await t.terminate();

2) Spin up a pool

import { Pool } from 'hurried';

const pool = new Pool({
  size: 4,
  task: (n: number) => {
    let total = 0;
    for (let i = 0; i < n; i++) total += i;
    return total;
  },
});

await pool.map([1e6, 2e6, 3e6, 4e6]);
await pool.terminate();

3) Skip lifecycle entirely

import { mapParallel } from 'hurried';

const squares = await mapParallel(
  [1, 2, 3, 4, 5, 6, 7, 8],
  (n) => n * n,
  { concurrency: 4 },
);

4) Stream results as they finish

import { mapParallelStream } from 'hurried';

// Source is pulled lazily — it can be huge, or infinite. Memory stays flat.
for await (const parsed of mapParallelStream(readLines('huge.log'), parseLine, {
  concurrency: 8,
  ordered: false,   // emit as-completed; drop it for input order
})) {
  save(parsed);     // each result, the moment a worker produces it
}

A true parallel iterator: bounded concurrency, backpressure, and clean teardown on early break. Already have a Pool? Stream through it with pool.stream(items).

5) Retry flaky work, with backoff

// One option, on any primitive. `retry: 3` = up to 4 attempts.
await pool.run(input, {
  retry: { retries: 3, minDelay: 100, factor: 2, jitter: true },
});

await mapParallel(urls, fetchAndParse, { retry: 3, concurrency: 8 });

Exponential backoff, jitter, a custom shouldRetry/onRetry, and full AbortSignal support — cancellation interrupts even a pending backoff. Abort and teardown errors are never retried.

6) Survive partial failure — `allSettled` for workers

import { mapParallelSettled } from 'hurried';

// One bad item no longer rejects the whole batch.
const results = await mapParallelSettled(urls, fetchAndParse, { concurrency: 8 });

for (const r of results) {
  if (r.status === 'fulfilled') save(r.value);
  else log.warn(r.reason);
}

Every map/stream helper has a settled twin — mapParallelSettled, mapParallelStreamSettled, pool.mapSettled, pool.streamSettled — each yielding a typed SettledResult per item. Task failures are recorded; cancellation still stops everything.

🚌 The Bus — typed pub/sub across threads

The feature you've always wished worker_threads had: send strongly-typed events both ways with one shared contract.

type Events = {
  progress: { done: number; total: number };
  log: string;
  cancel: void;                                    // void events → no payload arg
};

const thread = Thread.fromFunction<Events, number, number>((bus, n) => {
  bus.on('cancel', () => { /* gracefully stop */ });

  for (let i = 0; i < n; i++) {
    bus.emit('progress', { done: i, total: n });
  }
  bus.emit('log', 'done');
  return n;
});

thread.on('progress', (p) => render(p.done / p.total));
thread.on('log',      (msg) => console.log(msg));

thread.emit('cancel');

One event map, two endpoints. Both thread.on(...) on the main side and bus.on(...) inside the worker are typed against the same Events. Rename a field; both sides break at compile time.

Five methods, total surface. emit / on / once / off / waitFor — and on() returns its own unsubscribe function, so cleanup is one variable.

File-based workers (recommended for non-trivial logic)

// worker.ts
import { defineWorker, workerBus } from 'hurried';

export type Events = { progress: { done: number; total: number } };
const bus = workerBus<Events>();

export default defineWorker({
  process(items: string[]) {
    items.forEach((item, i) => {
      bus.emit('progress', { done: i + 1, total: items.length });
    });
    return items.length;
  },
});

// main.ts
import { Thread } from 'hurried';
import type { Events } from './worker.ts';

const thread = Thread.fromFile<Events>(new URL('./worker.js', import.meta.url));
thread.on('progress', (p) => console.log(p));
const count = await thread.run('process', ['a', 'b', 'c']);

Pools — events aggregated, broadcasts unified

const pool = new Pool<Events, number, number>({
  size: 4,
  task: (bus, n) => {
    bus.emit('progress', { done: n, total: n });
    return n;
  },
});

pool.on('progress', (p) => console.log(p));   // events from ANY worker
pool.emit('cancel');                           // broadcasts to ALL workers

🎯 Pattern showcase

Five real TypeScript pain points, each painful with raw worker_threads and a one-liner with hurried.

1. Typed RPC across the worker boundary

// worker.ts
import { defineWorker } from 'hurried';

export const handlers = defineWorker({
  add: (a: number, b: number) => a + b,
  greet: (name: string) => `Hello, ${name}!`,
  hash: async (input: string) =>
    (await import('node:crypto')).createHash('sha256').update(input).digest('hex'),
});

export type Handlers = typeof handlers;

// main.ts
import { Thread } from 'hurried';
import type { Handlers } from './worker.ts';

const thread = Thread.fromFile(new URL('./worker.js', import.meta.url));
await thread.run('add', 2, 5);          // Promise<number>
await thread.run('greet', 'world');     // Promise<string>

Worker file = single source of truth. Export its handler-map type; import it back in main.

2. Streaming progress from CPU-bound work

type Events = { progress: { done: number; total: number; pctText: string } };

const thread = Thread.fromFunction<Events, number, number>((bus, total) => {
  for (let i = 0; i < total; i++) {
    if (i % Math.floor(total / 20) === 0) {
      bus.emit('progress', {
        done: i, total, pctText: `${((i / total) * 100).toFixed(0)}%`,
      });
    }
  }
  return total;
});

thread.on('progress', (p) => process.stdout.write(`\r${p.pctText}`));
await thread.run(50_000_000);

Live progress bar, fully typed, no polling.

3. Cooperative cancellation through the bus

type Events = { cancel: void; cancelled: { atIteration: number } };

const thread = Thread.fromFunction<Events, number, 'completed' | 'cancelled'>(
  async (bus, n) => {
    let stop = false;
    bus.on('cancel', () => { stop = true; });

    const chunk = 5_000_000;
    for (let i = 0; i < n; i += chunk) {
      if (stop) { bus.emit('cancelled', { atIteration: i }); return 'cancelled'; }
      for (let j = 0; j < chunk; j++) Math.sqrt(i + j);
      await new Promise((r) => setImmediate(r));    // drain pending messages
    }
    return 'completed';
  },
);

setTimeout(() => thread.emit('cancel'), 200);

💬 Pro tip: Node workers won't process incoming messages while inside a tight sync loop. await setImmediate is the cooperative yield that lets cancellation actually arrive.

4. Aggregated events from many workers

type Events = {
  progress: { workerLabel: string; done: number; total: number };
  done:     { workerLabel: string };
};

const pool = new Pool<Events, { id: number; size: number }, number>({
  size: 4,
  task: (bus, { id, size }) => {
    const workerLabel = `worker-${id}`;
    for (let i = 0; i < size; i++) {
      if (i % Math.floor(size / 4) === 0)
        bus.emit('progress', { workerLabel, done: i, total: size });
    }
    bus.emit('done', { workerLabel });
    return size;
  },
});

pool.on('progress', (p) => console.log(`${p.workerLabel}: ${p.done}/${p.total}`));
pool.on('done',     (d) => console.log(`${d.workerLabel} ✓`));

5. Worker as a finite state machine

type WorkerState =
  | { phase: 'init' }
  | { phase: 'downloading'; url: string }
  | { phase: 'processing'; chunk: number }
  | { phase: 'done'; bytes: number }
  | { phase: 'error'; message: string };

type Events = { state: WorkerState };

const thread = Thread.fromFunction<Events, string, number>(async (bus, url) => {
  bus.emit('state', { phase: 'init' });
  bus.emit('state', { phase: 'downloading', url });
  bus.emit('state', { phase: 'processing', chunk: 1 });
  bus.emit('state', { phase: 'done', bytes: 1234 });
  return 1234;
});

thread.on('state', (s) => {
  switch (s.phase) {
    case 'downloading': console.log(`↓ ${s.url}`); break;       // s narrows here
    case 'processing':  console.log(`⚙ chunk ${s.chunk}`); break;
    case 'done':        console.log(`✓ ${s.bytes} bytes`); break;
    case 'error':       console.error(s.message); break;
  }
});

TypeScript narrows the union per branch — no as any, no manual type guards.

📚 API reference

Full interactive API reference lives at the docs site. Below is the cheat sheet.

`Thread`

Method	Description
`Thread.fromFunction(task, options?)`	Spawn from inline function. Declare two params `(bus, arg)` to receive a typed `Bus`.
`Thread.fromFile(filename, options?)`	Spawn from a module file (pair with `defineWorker` / `workerBus`).
`Thread.fromScript(script, options?)`	Spawn from a raw code string.
`thread.run(arg, options?)`	Invoke the default inline task.
`thread.run(name, ...args)`	Invoke a named handler.
`thread.on / once / off / emit / bus()`	Typed event API.
`thread.terminate()`	Stop the worker; pending calls reject with `TerminatedError`.

`Pool`

Method	Description
`new Pool({ task, size?, maxQueue?, timeout?, … })`	Fixed-size pool of workers running the same task.
`pool.run / pool.map`	Run one or many. Inputs preserve order.
`pool.mapSettled / pool.streamSettled`	Fault-tolerant `map`/`stream` — a `SettledResult` per item; failures don't sink the batch.
`pool.stream(items, options?)`	Stream results as an async iterator — lazy, bounded, ordered or as-completed.
`pool.on / emit / bus()`	Aggregated event bus across workers.
`pool.size / idleCount / queueLength`	Inspection.
`pool.terminate()`	Reject queued tasks, tear down workers.

Helpers

Function	Description
`parallel(tasks, options?)`	Run an array of inline functions concurrently.
`mapParallel(items, task, options?)`	Parallel-map an iterable through one task using a pool.
`mapParallelStream(items, task, options?)`	Streaming `mapParallel` — async iterator of results, bounded memory over huge/infinite sources.
`mapParallelSettled / mapParallelStreamSettled`	Fault-tolerant batch / stream — `SettledResult` per item (`allSettled` for workers).
`defineWorker(handlers)`	Register a typed handler map inside a worker file.
`workerBus<Events>()`	Get the typed `Bus<Events>` inside a worker.

Options

interface RunOptions {
  timeout?: number;                 // per-call timeout (ms), applied per attempt
  signal?: AbortSignal;             // cancellation (interrupts pending backoff too)
  transferList?: TransferListItem[];// zero-copy transfers
  retry?: number | RetryOptions;    // retry on failure, with optional backoff
}

ThreadOptions extends Node's WorkerOptions (env, execArgv, stdin/out/err, workerData, resourceLimits, name) and adds a timeout default.

Errors

All errors extend HurriedError: TaskError (handler threw — original in .cause), TaskTimeoutError, TaskAbortedError, TerminatedError (you tore the worker down), WorkerExitedError (the worker crashed on its own).

🧪 Testing

Vitest with v8 coverage. CI enforces ≥ 50% thresholds; the suite ships at ~95% statements.
156 tests across 14 files: bus, runtime, protocol, thread, pool, parallel & streaming helpers, retry/backoff, settled batches, legacy handler API.
Matrix CI: Node 18 / 20 / 22 / 24 × Ubuntu / macOS / Windows × lint + typecheck + format + test + coverage + build + examples.

npm test               # run once
npm run test:watch     # watch mode
npm run test:coverage  # full report

🤝 Contributing

npm install
npm run lint           # eslint flat config
npm run typecheck      # tsc --noEmit
npm test               # vitest
npm run build          # tsup → dist/ (ESM + CJS + .d.ts)

npm run docs:dev       # local docs preview
npm run docs:build     # static site → website/build

PRs welcome. Code is TypeScript-first with no shortcuts — every public surface is fully typed, and the test suite enforces both behavior and coverage.

🗺 Migration from v1

- const { Thread, makeExecutable } = require('hurried');
+ import { Thread, defineWorker, workerBus } from 'hurried';

- module.exports.slow = slow;
- makeExecutable(slow, 'slow');
+ export default defineWorker({ slow });

ESM-first build; CJS still works via the require export.
New Thread.fromFunction replaces ad-hoc fromScript for inline tasks — fully type-safe.
New Pool / parallel / mapParallel cover the common parallel-map case.
New Bus<Events> — typed pub/sub across the worker boundary.
AbortSignal and per-call timeout are first-class everywhere.
Legacy makeExecutable still works, so v1 worker files don't need to change.

📜 License

_{Built with ❤️ for the JS/TS ecosystem · ⭐ Star us on GitHub if hurried makes your code faster.}

Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
.github/workflows		.github/workflows
examples		examples
src		src
tests		tests
website		website
.editorconfig		.editorconfig
.gitignore		.gitignore
.npmignore		.npmignore
.prettierignore		.prettierignore
.prettierrc		.prettierrc
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
README.md		README.md
eslint.config.js		eslint.config.js
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json
tsup.config.ts		tsup.config.ts
vitest.config.ts		vitest.config.ts

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`hurried`

Parallel execution for Node.js, done right.

Workers · Pools · Parallel iterators · A typed event bus across the worker boundary — all behind an API that fits on a sticky note.

30 seconds to your first parallel task

✨ Why hurried?

📦 Install

⚡ Quick start

1) Run a single inline task

2) Spin up a pool

3) Skip lifecycle entirely

4) Stream results as they finish

5) Retry flaky work, with backoff

6) Survive partial failure — `allSettled` for workers

🚌 The Bus — typed pub/sub across threads

🎯 Pattern showcase

1. Typed RPC across the worker boundary

2. Streaming progress from CPU-bound work

3. Cooperative cancellation through the bus

4. Aggregated events from many workers

5. Worker as a finite state machine

📚 API reference

`Thread`

`Pool`

Helpers

Options

Errors

🧪 Testing

🤝 Contributing

🗺 Migration from v1

📜 License

About

Releases

Packages

Used by

Contributors

Languages

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Latest commit

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Repository files navigation

hurried

Parallel execution for Node.js, done right.

Workers · Pools · Parallel iterators · A typed event bus across the worker boundary — all behind an API that fits on a sticky note.

30 seconds to your first parallel task

✨ Why hurried?

📦 Install

⚡ Quick start

1) Run a single inline task

2) Spin up a pool

3) Skip lifecycle entirely

4) Stream results as they finish

5) Retry flaky work, with backoff

6) Survive partial failure — allSettled for workers

🚌 The Bus — typed pub/sub across threads

🎯 Pattern showcase

1. Typed RPC across the worker boundary

2. Streaming progress from CPU-bound work

3. Cooperative cancellation through the bus

4. Aggregated events from many workers

5. Worker as a finite state machine

📚 API reference

Thread

Pool

Helpers

Options

Errors

🧪 Testing

🤝 Contributing

🗺 Migration from v1

📜 License

About

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Resources

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`hurried`

6) Survive partial failure — `allSettled` for workers

`Thread`

`Pool`