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2. Matomo (software) - Wikipedia

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

   Website matomo .org Matomo , [ 2 ] formerly Piwik (pronounced / ˈ p iː w iː k / ), 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.

3. List of web analytics software - Wikipedia

   en.wikipedia.org/wiki/List_of_web_analytics_software

   Bing Webmaster Tools: Microsoft: Cookies via JavaScript N/A 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 ...

4. Online video analytics - Wikipedia

   en.wikipedia.org/wiki/Online_video_analytics

   Online video analytics (also known as Web video analytics) is the measurement, analysis and reporting of videos viewed online. It is used for the purposes of understanding the consumption patterns ( behavioral analysis ) and optimizing viewing experience ( quality of service analysis).

5. KNIME - Wikipedia

   en.wikipedia.org/wiki/KNIME

   KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.

6. Grafana - Wikipedia

   en.wikipedia.org/wiki/Grafana

   Free and open-source software portal; Grafana is a multi-platform open source analytics and interactive visualization web application.It can produce charts, graphs, and alerts for the web when connected to supported data sources.

7. Parse.ly - Wikipedia

   en.wikipedia.org/wiki/Parse.ly

   Parse.ly is a content optimization platform for online publishers. [2] Parse.ly's product, Dash, is built on top of the Parse.ly platform. Dash parses articles on a publisher's site, and then analyzes them to identify data around metrics that are specific for publishers such as topics, authors, sections, and referrers.