Analytics JS client for GetStream.io.
This package supports the CI/CD of Stream Analytics Visual Studio and Visual Studio Code projects.
Activity Stream Analytics data sumbission library
YouTube Data API CLI tool for Node.js — full parity with the Dart yt_cli: search, channels, videos, playlists, comments, comment-threads, subscriptions, broadcast, stream, analytics, members, thumbnails, watermarks, activities, and more.
Retry a request.
Node.js Streams, a user-land copy of the stream library from Node.js
Check if something is a Node.js stream
RudderStack JavaScript SDK
Get a stream as a string, Buffer, ArrayBuffer or array
Toggle the CLI cursor
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.
Gain real-time traffic insights with Vercel Web Analytics
Call a callback when a readable/writable/duplex stream has completed or failed.
destroy a stream if possible
A streaming way to send data to a Node.js Worker Thread
This package represents core 'shared' functionality that is shared by analytics packages. This is not designed to be used directly, but internal to analytics-node and analytics-browser.
A generated SDK for StreamAnalyticsManagementClient.
Get and validate the raw body of a readable stream.
This is the compatibility layer for the Firebase Analytics component of the Firebase JS SDK.
[](http://badge.fury.io/js/swagger-ui-dist)
A analytics package for new firebase packages
Streaming data for JavaScript
Returns the next buffer/object in a stream's readable queue
A tiny, zero-dependency yet spec-compliant asynchronous iterator polyfill/ponyfill for ReadableStreams.
Microsoft Azure Stream Analytics Client Library for Ruby
This gem is a logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/plugin install gemname. This gem is not a stand-alone program
A robust, type-safe Ruby SDK for seamless integration with the FastPix API platform for media uploads, live streaming, playlists, analytics, and signing keys.
ConduitSSE provides a flexible callback-based architecture for processing real-time server push data with full control over every stage of the parsing pipeline. Perfect for streaming AI responses, real-time analytics, and live updates.
Hyll provides a robust implementation of the HyperLogLog algorithm, enabling highly accurate cardinality estimation (counting unique items) with minimal memory footprint. Perfect for analytics, databases, and stream processing where tracking distinct elements in large datasets is required. This implementation offers configurable precision and serialization support.
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