Run N things in parallel and collect results
Run an array of functions in parallel
A Minipass stream that collects all the data into a single chunk
Use this module to start and stop the V8 inspector manually and collect precise coverage.
Minimal async jobs utility library, with streams support
executes commands on packages in parallel, but is aware of the dependencies between them
Run an array of functions in parallel, but limit the number of tasks executing at the same time
pprof support for Node.js
Vitest test runner
utilities for observable asynchronous control flow
Transform stream that allows you to run your transforms in parallel without changing the order
A gorgeous reporter for Mocha.js
Determine whether each segment of a line is parallel to the correspondent segment of another line.
Zero-overhead asynchronous parallel/each/map function call
Returns a stream which becomes readable once all input is received
VGS Collect.js script loading module
Merges a specified property from a FeatureCollection of points into a FeatureCollection of polygons.
Reduce up to 40% your Cypress suite execution time parallelizing the test run on the same machine.
Split Cypress specs across parallel CI machines for speed
The official TypeScript library for the Parallel API
Get CI environment variables for parallelizing builds
Types and functions to make composition easy and safe
GFM Markdown Wysiwyg Editor - Productive and Extensible
pprof support for Node.js
Team Effort provides a simple wrapper to ruby's process management for processing a collection of items in parallel with child processes.
Mongo Mapper Parallel can perform MapReduce-like operations on an entire collection in parallel. This is a non-blocking operation, so the scripts can invoke database methods (db.collection.update, db.collection.insert, etc...) at blazing speed.
Runs a method over a collection of Rails models. But does it in parallel using Active Job.
Collects tasks to be run, then execute in parallel, with maximum specified concurrency.
Basic Gem to query URLs in parallel
Zachary's Tool Kit contains a collection of reusable classes meant to simplify development of complex systems in Ruby. These classes provide functionality I often find myself needing from project to project. Instead of reinventing the wheel each time, I've started building a collection of reusable classes. Easy-bake DSLs, parallel processing, complex logging, templating and many other useful design patterns, for example are all contained in simple, reusable classes with a common interface and configuration style.