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  2. List of web analytics software - Wikipedia

    en.wikipedia.org/wiki/List_of_web_analytics_software

    This is a comparison table of web analytics software released under a free software license. ... Free - $999+/month Yahoo! Web Analytics: Yahoo! Cookies via JavaScript

  3. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    Internet marketing. Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [ 1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

  4. Open Web Analytics - Wikipedia

    en.wikipedia.org/wiki/Open_Web_Analytics

    License. GPL (version 2) [2] Website. www .openwebanalytics .com. Open Web Analytics (OWA) is open-source web analytics software created by Peter Adams. OWA is written in PHP and uses a MySQL database, which makes it compatible for running with an AMP solution stack on various web servers. [3]

  5. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics provides an SDK that allows gathering usage data from iOS and Android apps, known as Google Analytics for Mobile Apps. [5] Google Analytics has undergone many updates since its inception and is currently on its 4th iteration—GA4. [6] GA4 is the default Google Analytics installation and is the renamed version for the (App ...

  6. Matomo (software) - Wikipedia

    en.wikipedia.org/wiki/Matomo_(software)

    Available in. PHP. Type. Web analytics. License. GNU GPL v3. Website. matomo .org. Matomo, [ 2] formerly Piwik (pronounced / ˈpiːwiːk / ), is the most common free and open source web analytics application to track online visits to one or more websites and display reports on these visits for analysis.

  7. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    GAUSS – programming language for statistics. Genedata – software for integration and interpretation of experimental data in the life science R&D. GenStat – general statistics package. GLIM – early package for fitting generalized linear models. GraphPad InStat – very simple with much guidance and explanations.

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