I use workers in deno to evaluate user facing code which may take a lot of time to finish and need sandboxing. Another place it's used in where I want to keep context and reuse it for subsequent code execution for each user.

In deno, you can restrict what the code inside worker can do by passing a map of allowed permissions. I have built a simple privilege system on top of this to allow users different access level.

This is cheaper and faster than spinning up container.

I maintain a command-line utility which assembles an eBook from scraped .xhtml files. It uses a similar package, workerpool, to process multiple chapters in parallel.

https://github.com/domenic/worm-scraper/blob/master/lib/conv...

https://www.npmjs.com/package/workerpool

The worker API in Javascript is quite a pain to use, but needless to say multithreading is invaluable in many contexts, both in the browser and in Node. I haven't used this library but it seems to solve a similar problem to other ones in the same space — make writing multithreaded code sane, allowing you to avoid writing a bunch of repetitive boilerplate.

Knex, the SQL query builder, uses Tarn.js[1] for connection pooling to the db.

I've been using Tarn a bunch at work recently. We're doing some batch jobs, and I'm queuing work at each stage in Tarn.js pools. I created my own enqueue function that waits until the pool is less than a high-water mark in size before enqueueing. Then the pool has however many workers running.

Neither of these are off-thread pools. But they help a lot of for managing multiple async operations.

[1] https://github.com/vincit/tarn.js/

AFAIK this is a wrapper of worker_threads API. https://github.com/tuananh/camaro utilises this for multi-threading processing of XML input. Hexo (static site generator) is attempting to utilise this library (https://github.com/hexojs/hexo/issues/4355).

At work I use https://github.com/pioardi/poolifier

We have an api used for generating reports from mongo dB to csv, this let's the report process in the background leaving the report api to still handle requests.

Yeah. I built Bree @ https://jobscheduler.net

It has support for worker threads + cron + human strings

GH: https://github.com/breejs/bree

We use worker threads directly to process large unorganized (for the browser) datasets and do some deductions before it hits the store.

We also have a worker thread blocked on a redis channel that acts as a queue.

This is useful for processing large chunks of data like audio files (look at Superpowered sdk) but breaking em down or when processing multiple files.

I’m guessing the fact that node is single threaded

Might be quite nice for keeping tokens refreshed?