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Piwik is an open source (GPL license) web analytics software. It gives interesting reports on your website visitors, your popular pages, the search engines keywords they used, the language they speak… and so much more. Piwik aims to be an open source alternative to Google Analytics. The ... [More]
Smolt is developed to collect hardware profiles from end users in a opt-in method. It was originally written for Fedora and now also supports SuSE, Debian and Ubuntu. Support for Archlinux, Frugalware, Mythvantage, and Crux is in the support queue. It should be compatible with any system that uses ... [More]
Open source web analytics framework with built in support for MediaWiki and WordPress. Built to take the pain away from repeatedly implementing web analytics for every website.
GitStats is a statistics generator for git repositories. It examines the repository and produces some interesting statistics from the history. Currently it outputs only HTML.
Corina is an open source, freely available, dendrochronology program developed by the Cornell Tree-Ring Laboratory. Although Corina continues to be a useful tool, active development has now ceased. Corina is superseded by Tellervo which is a major rewrite including replacement of the file-based ... [More]
This application package acts as an add-on to the mod_log_sql apache/apache2 module. There is a command-line element, which aggregates visitor data, and an awstats-like frontend for the user to view an up to the minute history of user activity.
The goal of this project is to provide users with an alternative to the NikePlus website. This tool will be a Java application which will permit to records the workouts and to create some statistics.
IPHPLog (IP PHP Log) is a simple software written in PHP, JS and SQL that runs over a SQL language for data management system like MySQL. IPHPLog can log the information of your visitors and organize that on a data base.
Super Serious Stats is a little program written in PHP that reads logfiles from your IRC channel and stores the parsed data in a database. After reading a couple of logfiles there will be enough data to generate a nice HTML page with statistics on it which will give you insight in the channels users and activity. Seriously cool.