Fetch with limiting the number of concurrent tasks
Run an array of functions in parallel
Minimal async jobs utility library, with streams support
Scan large DynamoDB tables faster with parallelism
A light-weight module that brings Fetch API to node.js
Run an array of functions in parallel, but limit the number of tasks executing at the same time
Opinionated, caching, retrying fetch client
Provides a way to make requests
Blob & File implementation in Node.js, originally from node-fetch.
An implementation of window.fetch in Node.js using Minipass streams
Universal WHATWG Fetch API for Node, Browsers and React Native
better fetch for Node.js. Works on any JavaScript runtime!
Transform stream that allows you to run your transforms in parallel without changing the order
utilities for observable asynchronous control flow
A gorgeous reporter for Mocha.js
Determine whether each segment of a line is parallel to the correspondent segment of another line.
AI SDK tools for Parallel Web
Fetches the contents of a file accross node and browsers.
Zero-overhead asynchronous parallel/each/map function call
Split Cypress specs across parallel CI machines for speed
Cross Platform Smart Fetch Ponyfill
Fetch-based http client for use with npm registry APIs
A window.fetch polyfill.
Reduce up to 40% your Cypress suite execution time parallelizing the test run on the same machine.
Parallel rss fetching
A JRuby library for parallel fetches. Provides an embedded-domain specific language for declaring dependencies between resources.
Uses Typhoeus to make HTTP requests to the Yahoo! Finance API in parallel.
Shotgunner - helps to fetch external api or run tasks in a parallel way! Fast and furious!
A fast, parallel shopify api client using typhoeus/hydra. Attempts to balance being a good citizen about api limits and fetching multiple apai records in parallel.
This is a DataMapper adapter for FluidDB (www.fluidinfo.com) It makes heavy use of memcache and uses Typhoeus to parallelize fetching tag values. TyphoeusClient can also be used independently to make low-level requests.
The `AsyncPaginate` module provides a mechanism to fetch multiple pages of data asynchronously in Ruby using the `async` gem. This is useful when you need to retrieve a large amount of paginated data in parallel to improve performance by controlling the number of concurrent requests.
SynCache stores cached objects in a Hash that is protected by an advanced two-level locking mechanism which ensures that: * Multiple threads can add and fetch objects in parallel. * While one thread is working on a cache entry, other threads can access the rest of the cache with no waiting on the global lock, no race conditions nor deadlock or livelock situations. * While one thread is performing a long and resource-intensive operation, other threads that request the same data will be put on hold, and as soon as the first thread completes the operation, the result will be returned to all threads.
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