Array functions and parallelism for streams
parallel streams
Plan in detail. Execute in parallel. Blueprint is the agentic development framework that gives Claude Code, Codex & Cursor autonomous, structured execution across milestones, phases, and parallel streams.
Efficiently chunk files and process them in parallel streams.
Minimal async jobs utility library, with streams support
Run an array of functions in parallel
Get a stream as a string, Buffer, ArrayBuffer or array
Web Streams, based on the WHATWG spec reference implementation
safely create multiple ReadStream or WriteStream objects from the same file descriptor
An iteration of the Node.js core streams with a series of improvements
a collection of useful streams
Merge multiple streams into a unified stream
An implementation of window.fetch in Node.js using Minipass streams
A small fast zlib stream built on [minipass](http://npm.im/minipass) and Node.js's zlib binding.
The string_decoder module from Node core
Turn a readable stream into multiple readable streamx streams
A node.js driver for mysql. It is written in JavaScript, does not require compiling, and is 100% MIT licensed.
Open Node Streams on demand.
Streams for reading/writing messages
Run an array of functions in parallel, but limit the number of tasks executing at the same time
A library that makes it easier to work with Streams in the browser.
Tiny utilities for inserting transformation logic into Node.js stream and Web Streams pipelines
Node and Bun local Prisma Streams runtime for trusted development workflows.
TypeScript definitions for ssh2-streams
Data parallelism library for async-std
Output a tally of the number of times unique words appear in source input.
Easily specify which scripts to run, which ones to run in parallel, control their exit status and stream their output to a websockt.
SmarterCSV is a high-performance CSV reader and writer for Ruby focused on fastest end-to-end ingestion — not just parsing. It returns ready-to-use hashes with configurable header and value transformations, intelligent defaults, and automatic delimiter discovery. Built for real-world data pipelines, SmarterCSV supports chunked processing for large files, streaming via Enumerable APIs, and C acceleration to optimize the full ingestion path (parsing + hash construction + conversions). Designed to handle messy user-uploaded CSV while remaining easy to integrate with Rails, ActiveRecord imports, Sidekiq jobs, parallel processing, and S3-based workflows.
JRubyParallelProcessing is a gem for parallel processing tasks in JRuby. It provides classes for efficient data processing, task management with priority and retries, and parallel API request handling. It includes features such as middleware support, stream processing, and distributed task execution.
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