phpMyVisites is an open source web analytics application written in PHP an MySQL. This offers similar features to AWStats and Webalizer. It is currently released in version 2.3 stable and under a GNU/GPL license. Originally created in 2002, this application has come along way to support the necessary requirements to provide useful web stats. As described on the phpMyVisites wiki, "phpMyVisites was created to address an important need for an Open Source (and free) program that offers features available in professional, “for-purchase-only” software" (About phpMyVisites).

There are a number of great features offered, which you can read about in more detail on their features page. The bulk of the features are contained within seven major sections of stats:

Major Features

• Visitors
• Pages viewed
• Follow-up of visitors
• Visitor movement
• Source of visitors
• Hardware/software of visitors
• Referrals

Other Features

• Track multiple websites
• Multiple users
• Clean user interface
• Strong security
• Graphics to help you visualize the numbers
• Multi-language support
• Search engine detection
• Get site stats in email and RSS format

Be sure to check out phpMyVisites and give it a try. It is easy to install and configure and has documentation for you to follow.

What do you use to track your site statistics? Do you use a hosted service or host your own application? Let us know in the comments.

CubeStat estimates the value of your website as well as providing some meta and index information in a single report. The estimates are based on a "unique" algorithm that determines what a website's net worth, daily page views, and daily ad revenues are. The report also shows any meta information from the website, rank graphs from Alexa and Compete, as well as PageRank, backlinks, and other index-related information. A lot of the information that is displayed at XinuReturns is integrated into this site.

Based on the net worth estimated for my site, it looks to me like the calculations are pretty easy. After looking at the figures estimated, you can figure out the math with a few simple calculations. The one thing I am unsure of is where the daily page views estimation comes from. I don't know what source that estimate would be based on.

Overall, I like the site and I like the concept, but I'm not sure how accurate the valuations are. I wish there was more information about either how the information is gathered that backs the algorithm or at least a few listings that show how accurate the algorithm is. Currently I have no way of knowing within what percentage of error the estimate calculated stands.