Thread Tasks: Offload your CPU-intensive tasks to separate threads.
Offload tasks to a pool of workers on node.js and in the browser
Fast and consistently responsive apps using a single function call
A streaming way to send data to a Node.js Worker Thread
Runs the following loaders in a worker pool
Properly hijack require, i.e., properly define require hooks and customizations
Use Rollup with workers and ES6 modules today.
Library with base interfaces for LangGraph checkpoint savers.
A mutex for guarding async workflows
Defer non-critical tasks to run when the main thread is idle
Client library for interacting with the LangGraph API
Thread comment integration for Univer Sheets.
Shared thread comment UI components and services for Univer.
Thread comment UI integration for Univer Sheets.
Thread comment UI integration for Univer Docs.
Shared thread comment models, commands, and services for Univer.
Preset for thread comments in Univer Sheets.
Preset for thread comments in Univer Docs.
Helpers for communicating between JavaScript environments using message passing.
Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
Use Rollup with workers and ES6 modules today.
REST API server for AgenticMail — email, SMS, and phone call-control endpoints for AI agents
Remote data source integration for Univer thread comments.
A native Node.js module that can capture JavaScript stack traces from main and worker threads, even with blocked event loops.
Simple thread pool implementation to manage running tasks in parallel.
A simple "thread pool" for parallel tasks.
Periodically run tasks that fetch data
Distribute simple tasks to multiple threads with ease
A wrapper for using Java's Thread Pools for asynchronous tasks
Simple scheduler for long-running and infrequent tasks, no threads, always in serial
mrubyc-debugger is a TUI (text user interface) tool that runs mruby/c tasks as CRuby ::Thread on your terminal
To use it, we only need placed tasks in taskqueue and wait it, like download many files from network
EachInThread extends Ruby's Enumerable module to provide a simple, efficient way to run tasks in parallel by creating separate threads for each item in an enumerable.
Like stalker, but can stalk concurrently
Modular task runner and job manager. Supports daemons and threads.
Wrapper library of Thread class. Thread::Task, Thrad::Task::Pool
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