clooney VS threads.js

Compare clooney vs threads.js and see what are their differences.

clooney

Clooney is an actor library for the web. Use workers without thinking about workers. (by GoogleChromeLabs)
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clooney threads.js
- 10
1,421 2,983
0.1% -
0.0 0.0
about 1 month ago 21 days ago
JavaScript TypeScript
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

clooney

Posts with mentions or reviews of clooney. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning clooney yet.
Tracking mentions began in Dec 2020.

threads.js

Posts with mentions or reviews of threads.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-10.

What are some alternatives?

When comparing clooney and threads.js you can also consider the following projects:

partytown - Relocate resource intensive third-party scripts off of the main thread and into a web worker. ๐ŸŽ‰

piscina - A fast, efficient Node.js Worker Thread Pool implementation

workerize - ๐Ÿ—๏ธ Run a module in a Web Worker.

worker-dom - The same DOM API and Frameworks you know, but in a Web Worker.

comlink - Comlink makes WebWorkers enjoyable.

greenlet - ๐ŸฆŽ Move an async function into its own thread.

threadbox - Recursive Worker Threads in NodeJS

BCom2 - โž• Better web-worker library... โž•

workerpool - Offload tasks to a pool of workers on node.js and in the browser

microjob - A tiny wrapper for turning Node.js worker threads into easy-to-use routines for heavy CPU loads.