
Security News
CVE Volume Surges Past 48,000 in 2025 as WordPress Plugin Ecosystem Drives Growth
CVE disclosures hit a record 48,185 in 2025, driven largely by vulnerabilities in third-party WordPress plugins.
A minimal and tiny Node.js Worker Thread Pool implementation, a fork of piscina, but with fewer features
Piscina: A fast, efficient Node.js Worker Thread Pool implementation
Tinypool is a fork of piscina. What we try to achieve in this library, is to eliminate some dependencies and features that our target users don't need (currently, our main user will be Vitest). Tinypool's install size (38KB) can then be smaller than Piscina's install size (6MB when Tinypool was created, Piscina has since reduced it's size to ~800KB). If you need features like utilization or OS-specific thread priority setting, Piscina is a better choice for you. We think that Piscina is an amazing library, and we may try to upstream some of the dependencies optimization in this fork.
✅ Smaller install size, 38KB
✅ Minimal
✅ No dependencies
✅ Physical cores instead of Logical cores with physical-cpu-count
✅ Supports worker_threads and child_process
❌ No utilization
❌ No OS-specific thread priority setting
Written in TypeScript, and ESM support only. For Node.js 18.x and higher.
In case you need more tiny libraries like tinypool or tinyspy, please consider submitting an RFC
node:worker_threads// main.mjs
import Tinypool from 'tinypool'
const pool = new Tinypool({
filename: new URL('./worker.mjs', import.meta.url).href,
})
const result = await pool.run({ a: 4, b: 6 })
console.log(result) // Prints 10
// Make sure to destroy pool once it's not needed anymore
// This terminates all pool's idle workers
await pool.destroy()
// worker.mjs
export default ({ a, b }) => {
return a + b
}
// main.mjs
import Tinypool from 'tinypool'
import { MessageChannel } from 'node:worker_threads'
const pool = new Tinypool({
filename: new URL('./worker.mjs', import.meta.url).href,
})
const { port1, port2 } = new MessageChannel()
const promise = pool.run({ port: port1 }, { transferList: [port1] })
port2.on('message', (message) => console.log('Main thread received:', message))
setTimeout(() => port2.postMessage('Hello from main thread!'), 1000)
await promise
port1.close()
port2.close()
// worker.mjs
export default ({ port }) => {
return new Promise((resolve) => {
port.on('message', (message) => {
console.log('Worker received:', message)
port.postMessage('Hello from worker thread!')
resolve()
})
})
}
node:child_process// main.mjs
import Tinypool from 'tinypool'
const pool = new Tinypool({
runtime: 'child_process',
filename: new URL('./worker.mjs', import.meta.url).href,
})
const result = await pool.run({ a: 4, b: 6 })
console.log(result) // Prints 10
// worker.mjs
export default ({ a, b }) => {
return a + b
}
// main.mjs
import Tinypool from 'tinypool'
const pool = new Tinypool({
runtime: 'child_process',
filename: new URL('./worker.mjs', import.meta.url).href,
})
const messages = []
const listeners = []
const channel = {
onMessage: (listener) => listeners.push(listener),
postMessage: (message) => messages.push(message),
}
const promise = pool.run({}, { channel })
// Send message to worker
setTimeout(
() => listeners.forEach((listener) => listener('Hello from main process')),
1000
)
// Wait for task to finish
await promise
console.log(messages)
// [{ received: 'Hello from main process', response: 'Hello from worker' }]
// worker.mjs
export default async function run() {
return new Promise((resolve) => {
process.on('message', (message) => {
// Ignore Tinypool's internal messages
if (message?.__tinypool_worker_message__) return
process.send({ received: message, response: 'Hello from worker' })
resolve()
})
})
}
We have a similar API to Piscina, so for more information, you can read Piscina's detailed documentation and apply the same techniques here.
isolateWorkers: Disabled by default. Always starts with a fresh worker when running tasks to isolate the environment.terminateTimeout: Disabled by default. If terminating a worker takes terminateTimeout amount of milliseconds to execute, an error is raised.maxMemoryLimitBeforeRecycle: Disabled by default. When defined, the worker's heap memory usage is compared against this value after task has been finished. If the current memory usage exceeds this limit, worker is terminated and a new one is started to take its place. This option is useful when your tasks leak memory and you don't want to enable isolateWorkers option.runtime: Used to pick worker runtime. Default value is worker_threads.
worker_threads: Runs workers in node:worker_threads. For main thread <-> worker thread communication you can use MessagePort in the pool.run() method's transferList option. See example.child_process: Runs workers in node:child_process. For main thread <-> worker process communication you can use TinypoolChannel in the pool.run() method's channel option. For filtering out the Tinypool's internal messages see TinypoolWorkerMessage. See example.teardown: name of the function in file that should be called before worker is terminated. Must be named exported.serialization: Specify the kind of serialization used for the child_process runtime. Possible values are 'json' and 'advanced'. See Node.js Advanced serialization for more details.cancelPendingTasks(): Gracefully cancels all pending tasks without stopping or interfering with on-going tasks. This method is useful when your tasks may have side effects and should not be terminated forcefully during task execution. If your tasks don't have any side effects you may want to use { signal } option for forcefully terminating all tasks, including the on-going ones, instead.recycleWorkers(options): Waits for all current tasks to finish and re-creates all workers. Can be used to force isolation imperatively even when isolateWorkers is disabled. Accepts { runtime } option as argument.workerId: Each worker now has an id ( <= maxThreads) that can be imported from tinypool in the worker itself (or process.__tinypool_state__.workerId).| Mohammad Bagher |
|---|
Your sponsorship can make a huge difference in continuing our work in open source!
The Vitest team for giving me the chance of creating and maintaing this project for vitest.
Piscina, because Tinypool is not more than a friendly fork of piscina.
Workerpool is an npm package that offers a pool of workers to offload tasks. It provides a similar functionality to tinypool but with additional features such as automatic load balancing and the ability to directly pass functions and parameters to the pool without needing separate worker files.
Piscina is a modern thread pool implementation for Node.js. It is similar to tinypool but offers a more extensive API, including support for transferable objects, task cancellation, and more advanced configuration options.
Threads is a package for working with Web Workers and Node.js worker threads. It provides an abstraction over the native worker threads API, making it easier to work with. It offers a different approach compared to tinypool by focusing on the abstraction layer rather than just providing a thread pool.
FAQs
A minimal and tiny Node.js Worker Thread Pool implementation, a fork of piscina, but with fewer features
The npm package tinypool receives a total of 10,888,043 weekly downloads. As such, tinypool popularity was classified as popular.
We found that tinypool demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Security News
CVE disclosures hit a record 48,185 in 2025, driven largely by vulnerabilities in third-party WordPress plugins.

Security News
Socket CEO Feross Aboukhadijeh joins Insecure Agents to discuss CVE remediation and why supply chain attacks require a different security approach.

Security News
Tailwind Labs laid off 75% of its engineering team after revenue dropped 80%, as LLMs redirect traffic away from documentation where developers discover paid products.