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
Percy CLI commands for running Percy with native apps.
takes json-cov output into stdin and POSTs to coveralls.io
Get CI environment variables for parallelizing builds
A CLI tool to run multiple npm-scripts in parallel or sequential.
utilities for observable asynchronous control flow
Builds multiple webpack configurations in parallel and allows you to easily create variants to those configurations.
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
A gorgeous reporter for Mocha.js
Determine whether each segment of a line is parallel to the correspondent segment of another line.
Call an array of asynchronous functions in parallel
Run promises in parallel, but throttled
Zero-overhead asynchronous parallel/each/map function call
The official TypeScript library for the Parallel API
Reduce up to 40% your Cypress suite execution time parallelizing the test run on the same machine.
A CLI tool to run multiple npm-scripts in parallel or sequential. (Maintenance fork)
Percy CLI commands for running a local snapshot server using [`@percy/core`](./packages/core).
Split Cypress specs across parallel CI machines for speed
Run mocha tests in parallel
Asynchronously calls a function on each element in an array in parallel.
safely create multiple ReadStream or WriteStream objects from the same file descriptor
Generate SimpleCov reports for your parallel Buildkite builds
Coordinate parallel Travis builds
Gem for auto-parallelizing builds across Semaphore jobs.
Gem for auto-parallelizing builds across Semaphore jobs.
Helps building data pipelines. It handles recomputing dependencies and parallel execution.
Optimally distribute and run RSpec suites among parallel workers; for faster CI builds
Runs a small number of setup tasks, followed by a bunch of expensive tasks in parallel. This manages the number of running tasks and keeps the visible output to a small and useful amount. It was created to make developer pre-commit builds really fast, but still able to cover a lot of tests.
A simple way to build a pipeline of tasks. These tasks can be configured to run in serial, parallel or any combination thereof.
Build and resolve dependency graphs using topological sort, detect cycles, generate parallel execution batches, query dependencies and dependents, find shortest paths, and extract subgraphs.
Handling the HTTP commute like a boss
A framework that provides a simple foundation for building Ruby applications that are: * Highly configurable (with both distributed and persistent configurations) * Extremely pluggable and extendable * Easily parallel Note: This framework is still very early in development!
A simple way to build a pipeline of tasks. These tasks can be configured to run in serial, parallel or any combination thereof.
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