Create a transform stream using await instead of callbacks
Object transformations implementing the Node.js `stream.Transform` API
minimal implementation of a PassThrough stream
Generic interruptible "parser" mixin for Transform & Writable streams
Create a transform stream using await instead of callbacks
Transform stream that allows you to run your transforms in parallel without changing the order
An iteration of the Node.js core streams with a series of improvements
Buffer and transform the n first bytes of a stream
CSV parsing implementing the Node.js `stream.Transform` API
Chain functions, generators, Node streams, and Web streams into a pipeline with backpressure support.
split a Text Stream into a Line Stream, using Stream 3
create a pipeline of streams using Minipass
Encode and decode base64 encoded strings
Encode and decode quoted-printable strings according to rfc2045
Tiny utilities for inserting transformation logic into Node.js stream and Web Streams pipelines
TypeScript definitions for through2
simple line-by-line stream reader
TypeScript definitions for base64-stream
Implementation of the HTML encoding sniffer algo, with stream support
CSV stringifier implementing the Node.js `stream.Transform` API
a streaming CRC32 checksumer
A mature CSV toolset with simple api, full of options and tested against large datasets.
Strip UTF-8 byte order mark (BOM) from a stream
Node.js Transform and Async interface to convert JSON into CSV.
An easy on the eye DSL to define Mealy FSMs. Can be used for lexers, stream transformers etc.
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.
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