Try to detect the type of tabular data and stream it
Check if stdout or stderr is interactive
Improved typeof detection for node.js and the browser.
A light-weight module that brings window.fetch to node.js
Node.js Streams, a user-land copy of the stream library from Node.js
destroy a stream if possible
Node.js implementation of port detector
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.
Get and validate the raw body of a readable stream.
Get a stream as a string, Buffer, ArrayBuffer or array
Implementation of window.fetch which can use http2 seamlessly
Detect the dominant newline character of a string
A streaming way to send data to a Node.js Worker Thread
Returns a `stream.Readable` from a URI string
Detect Node.JS (as opposite to browser environment). ESM modification
A tiny, zero-dependency yet spec-compliant asynchronous iterator polyfill/ponyfill for ReadableStreams.
minimal implementation of a PassThrough stream
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Check if something is a Node.js stream
Parser adapter for parsing YAML documents into base namespace.
A light-weight module that brings Fetch API to node.js
Unpack a browser type and version from the useragent string
Classify GPU's based on their benchmark score in order to provide an adaptive experience.
Streaming data for JavaScript
Build and parse multipart/form-data request bodies with a clean DSL for adding text fields and file uploads, including automatic MIME type detection, IO streaming, boundary generation, and content type headers.
This gem is a Logstash plugin that augments stream with WURFL device detection data and is required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program. Please note that this plugin requires a running instance of WURFL Microservice (https://www.scientiamobile.com/products/wurfl-microservice)
Hot Potato is an open source real-time processing framework written in Ruby. Originally designed to process the Twitter firehose at 3,000+ tweets per second, it has been extended to support any type of streaming data as input or output to the framework. The framework excels with applications such as, social media analysis, log processing, fraud prevention, spam detection, instant messaging, and many others that include the processing of streaming data.
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