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Google Analytics 360 includes seven main products: Analytics, Tag Manager, Optimize, Data Studio, Surveys, Attribution, and Audience Center. [37] In October 2017 a new methodology to collect data for Google Analytics was announced, called Global Site Tag, or gTag.js. Its stated purpose was to unify the tagging system to simplify implementation.
Free Analytics Suite: AT Internet: Mobile ID and Cookies Continuous Negotiable Data Workbench: Adobe Systems: Cookies via JavaScript 6.51 Negotiable Google Analytics: Google: Cookies via JavaScript N/A Free (Standard), $150,000 Annual (Premium) CleverTap: WizRocket, Inc. Cookies via JavaScript Continuous Free (Start)/ Monthly Plans LiveChat ...
The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, [1] Places API [2] or Google Earth API. [3]
The data is collected through a unified Google Analytics account that stores anonymized IP addresses to preserve privacy. This is periodically queried using an open source analytics tool built by 18F called the analytics reporter, whose repository is available on GitHub . [ 43 ]
GData (Google Data Protocol) provides a simple protocol for reading and writing data on the Internet, designed by Google. GData combines common XML-based syndication formats (Atom and RSS) with a feed-publishing system based on the Atom Publishing Protocol, plus some extensions for handling queries. It relies on XML or JSON as a data format.
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
Netdata provides A.I. insights for all monitored data, training machine learning models directly at the edge. [8] This allows for fully automated and unsupervised anomaly detection, and with its intuitive APIs and UIs, users can quickly perform root cause analysis and troubleshoot issues, identifying correlations and gaining deeper insights ...
JAX is a Python library that provides a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).