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2. List of web analytics software - Wikipedia

   en.wikipedia.org/wiki/List_of_web_analytics_software

   Free / Open source This is a comparison table of web analytics software released under a free software license. Name Platform Supported databases Tracking method ...

3. List of free and open-source software packages - Wikipedia

   en.wikipedia.org/wiki/List_of_free_and_open...

   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]

4. Matomo (software) - Wikipedia

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

   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.

5. 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.

6. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...

7. 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.