Asynchronous, buffered, line-by-line file/stream reader
Open a stream to a given file and read its contents
[](https://www.npmjs.com/package/@aws-sdk/chunked-stream-reader-node) [](http
Properties file reader for Node.js
tar-stream is a streaming tar parser and generator and nothing else. It operates purely using streams which means you can easily extract/parse tarballs without ever hitting the file system.
Read binary packets...
Read binary files in chunks, on demand, with promises.
minimal pull stream
Consume Node.js readable streams using promises.
Read arrays as standard WhatWG streams.
Read an exact number of bytes from a binary (async) iterable
A readable stream reader that reads a desired number of bytes.
fs read and write streams based on minipass
split a Text Stream into a Line Stream, using Stream 3
Read binary streams in chunks, on demand, with promises.
A small EXIF image metadata reader
destroy a stream if possible
Spec-compliant FormData implementation for Node.js
fs read and write streams based on minipass
Read and peek from a readable stream
Get and validate the raw body of a readable stream.
Encode FormData content into the multipart/form-data format
a JSON logging library for node.js services
Buffer List: collect buffers and access with a standard readable Buffer interface, streamable too
pure ruby implementation of PLINK bed file stream reader
Memory efficient spreadsheet reader. It reads file in streaming fashion. Currently supports Excel legacy file (.xls) format. Work in progress for other file formats.
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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