A parallel, asynchronous implementation of forEach in ES6 with a configurable maximum degree of parallelism.
Zero-overhead asynchronous parallel/each/map function call
Run an array of functions in parallel
Minimal async jobs utility library, with streams support
Run an array of functions in parallel, but limit the number of tasks executing at the same time
This module contains all of the common events to be reused by all the other modules of the app. It is published on NPM to make it easy to develop in parallel each service.
Asynchronously calls a function on each element in an array in parallel.
Determine whether each segment of a line is parallel to the correspondent segment of another line.
No-bullshit, ultra-simple, 35-lines-of-code async parallel forEach / map function for JavaScript.
Reduce up to 40% your Cypress suite execution time parallelizing the test run on the same machine.
safely create multiple ReadStream or WriteStream objects from the same file descriptor
Simple library for orchestrating asynchronous operations
Run multiple processes in parallel
A Karma JS Framework to support sharding tests to run in parallel across multiple browsers
Transform stream that allows you to run your transforms in parallel without changing the order
Async enabled each(), map(), filter() functions that work just like their standard counterparts, but can be used with async/await and also provide concurrency limiting. Includes built-in typings and JSDoc comments for IntelliSense documentation.
A gorgeous reporter for Mocha.js
utilities for observable asynchronous control flow
Run operations on a graph, maximizing parallelism
Emdash is a cross-platform Electron application that orchestrates multiple CLI coding agents (Claude Code, Codex, Qwen Code, Amp, etc.) in parallel. Each agent runs in its own Git worktree to keep cha
a collection of useful streams
Split Cypress specs across parallel CI machines for speed
Run mocha tests in parallel
Map over an array or object of values in parallel or series, passing each through the async iterator, with optional lifecycle hooks.
Parallel iteration methods (map, each, select, reject, find, flat_map, any?, all?, none?, count, reduce) with a configurable thread pool. Results maintain input order.
Parallel iteration for Enumerable
Parallel iteration for Enumerable
Provides enumerable methods with a configurable level of parallelism. Suitable for parallelizing non-trivial operations on large Enumerables.
Parallel Each and other parallel things
Knapsack Pro wraps your current test runner(s) and works with your existing CI infrastructure to parallelize tests optimally. It dynamically splits your tests based on up-to-date test execution data. It's designed from the ground up for CI and supports all of them.
Parallel Each and other parallel things
Parallel#each and Parallel#map are using Celluloid::Future
evaluates some code on each line of the input in parallel
Parallel tests across CI server nodes based on each test file's time execution. It generates a test time execution report and uses it for future test runs.
Rake multitask logs can be confusing, with interleaved output from all parallel tasks. Rake::Multilogs untangles the mess by capturing each task's output and displaying it after all the tasks are finished.
This gem lets you run your RSpec examples in parallel across across your CPUs. Each worker automatically gets its own database to avoid conflicts. The optional spring-prspec gem adds support for running under Spring.
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