The library is intended for quick testing of enter points algorithms
Platform-agnostic analytics integration that pipes NgRx actions into external analytics services. Part of the Daffodil ecommerce framework.
This library share utilities to collect stats and integrate external analytics tools
Wrapper around external analytics tools for Storj
JavaScript SDK for Base44 API
Data client for Node.js
Gain real-time traffic insights with Vercel Web Analytics
Backwards compatible shim for React's useSyncExternalStore. Works with any React that supports hooks.
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.
This is the compatibility layer for the Firebase Analytics component of the Firebase JS SDK.
A analytics package for new firebase packages
[](http://badge.fury.io/js/swagger-ui-dist)
Queues failed requests and uses the Background Sync API to replay them when the network is available
Shared types used for Ampilitude Analytics Typescript packages
A node module for Google's Universal Analytics tracking
Admin client for Node.js
This monorepo's version of "lodash". This package contains shared generic utilities that can be used within the ecosystem. This package should not have dependencies, and should not contain any references to the Analytics domain.
Global analytics (analytics.js) plugin for Docusaurus.
<div align="center"> <h1 align="center">@upstash/core-analytics</h1> <h5>Serverless Analytics for Redis</h5> </div>
https://www.npmjs.com/package/@segment/analytics-node
@firebase/analytics Types
Track Core Web Vitals in Gatsby projects with Vercel Speed Insights.
Analytics Next (aka Analytics 2.0) is the latest version of Segment’s JavaScript SDK - enabling you to send your data to any tool without having to learn, test, or use a new API every time.
JavaScript client for client-analytics
rails-persona lets you track, query, and understand how users interact with your app directly from your Rails models. Define trackable actions with a clean DSL, then query frequency, recency, inactivity, and full activity logs — all stored in your own database.
Analytics Hub is a data exchange that allows you to efficiently and securely exchange data assets across organizations to address challenges of data reliability and cost. Curate a library of internal and external assets, including unique datasets like Google Trends, backed by the power of BigQuery.
Minimal set of optimized string scanning methods for high-throughput workloads like log processing, CSV parsing, HTTP parsing, and text analytics. Pure C implementation with no external dependencies.
Analytics Hub is a data exchange that allows you to efficiently and securely exchange data assets across organizations to address challenges of data reliability and cost. Curate a library of internal and external assets, including unique datasets like Google Trends, backed by the power of BigQuery. Note that google-cloud-bigquery-data_exchange-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-bigquery-data_exchange instead. See the readme for more details.
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