Evaluate an array of asynchronous functions, one by one, until one resolves.
Test values against a cascade of async functions to find the first one that passes all of them.
Find a file fast, by starting at the given cwd and recursing up one directory until the file is found or we run out of directories.
Find the closest babel config based on a directory
Find a file or directory by walking up parent directories
object extends, async array methods, async each, async forEach, async map, async find
Get the first fulfilled promise that satisfies the provided testing function
Find the first directory with a package.json, recursing up, starting with the given directory. Similar to look-up but does not support globs and only searches for package.json. Async and sync.
Walk up ancester's dir up to root
Node compatible event emitter with extra features
Higher-order functions and common patterns for asynchronous code
Determine if a function is a native async function.
A function that returns the normally hidden `AsyncFunction` constructor
Helper function to remap async functions to generators
Async hook
Turn async generator functions into ES2015 generators
Find the an package.json in the path provided upwards
Turn async functions into ES2015 generators
Allow parsing of async generator functions
mdast utility to find and replace text in a tree
Estlint rule - no async callbacks for array methods
Finds an available port for your application to use.
Neo-Async is a drop-in replacement for Async, it almost fully covers its functionality and runs faster
unist utility to find a node after another node
Asyncronously inject CSS & JS files
Pampa is a Ruby library for async & distributing computing providing the following features: - cluster-management with dynamic reconfiguration (joining and leaving nodes); - distribution of the computation jobs to the (active) nodes; - error handling, job-retry and fault tolerance; - fast (non-direct) communication to ensure realtime capabilities. The Pampa framework may be widely used for: - large scale web scraping with what we call a "bot-farm"; - payments processing for large-scale ecommerce websites; - reports generation for high demanded SaaS platforms; - heavy mathematical model computing; and any other tasks that requires a virtually infinite amount of CPU computing and memory resources. Find documentation here: https://github.com/leandrosardi/pampa
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