Search Results for "web log"
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Showing 6 open source projects for "web log"
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The GoodStat system is a web application, operating in the hosting environment, counting the statistics of entries, page views and much more. After downloading you will be able to install it yourself on your hosting. The data can be read as soon as the installation is completed and pasted into a monitored page on each subpage, a special JavaScript code. I would like to share with you the script I created called the GoodStat System. You will probably think that the name is a little bit...
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CrazyStat
Free PHP web analytics script
CrazyStat is a web analytics script written in PHP. It does not need access to server-logfiles or a MySQL-database to generate statistics of your website visitors. The script has very good usability and still has lots of features. The stats only need one screen length to present all the information. It's fast because of it's caching technology and uses minimal webspace by compressing logfiles. It's free and released under GPL as open source software. With CrazyStat, it is easy to respect... -
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phpMyVisites is a Web traffic analyzer with very detailed reports and advanced graphics. It is not an Apache log analysis tool. phpMyVisites creates its own logs, and it allows access to more complete statistics. phpMyVisites provides information about v
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Use Pentaho open source business intelligence tools and MySQL to collect & distribute web analytics (clickstream) data. Extract data from logs, load database tables, & present the information in dashboards, analysis cubes, and reports for business users. This project has been moved to github - https://github.com/cjlavigne/breadboard
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WTIQ provides detailed information about web activity on web sites which have been modified to include WTIQ monitoring tags in their pages. WTIQ is used by WebtraffIQ (http://www.webtraffiq.com) to provide detailed web traffic information commercially.
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Mojo Webstats is a simple web statistics tool. It uses Javascript, PHP and MySQL to process web statistics. Includes: 1) date/time, 2) document location and title, 3) ip address and hostname, 4) browser version, 5) visitor resolution, and 6) referrer.
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