This report shows the position of given site in a single Google search for "scripting language" programming. Some sites may not have been found in the first 64 results. These are the ones with no position marked. Low score numbers (high Google position) show that a site is very popular for given keywords, although many sites will have a better position based on their other activities/products not linked to the context of this report.

Note: The scores represent position or ranking. The lesser the score, the better ranking it has.

This report shows the number of web pages across the web mentioning the product in the context of Web development languages. High score means that the product is often written about on the web. This will be often different from the previous report because Google uses many more criteria to rank websites.

This report shows the number of blogs across the web mentioning the product in the context of Web development languages. High score means that the product is often written about on web blogs.

This report shows the number of books (found using Google book search) which write about the product in the context of Web development languages. High score means that the product is often written about in published books.

This report shows the number of pages linking into given site, according to Google.

This report shows the product website's rank accourding to Alexa. Alexa mesures the rank by tracking the number of visits to given site for those visitors who enabled Alexa tracking through a browser add-on. A large amount of data Alexa has access to makes their rank very representative of the actual popularity of given site.

Note: The scores represent position or ranking. The lesser the score, the better ranking it has.

This report shows the number of pages linking into given site, according to Alexa. This will sometimes be different from the numbers reported by Google.

This report shows how many people bookmarked given site using Delicious' very popular service. This reflects not only popularity of given product but also the quality - people tend to bookmark sites of products they already use or want to use.

This report measures how popular given product is across Twitter. The report searches across all tweets in the last 90 days.

This report measures how popular given product is across Facebook. The report searches across all public comments on facebook in the last 30 days (max. 200 comments are counted).

This report shows how many time product's home page was shared on Facebook (source: Facebook)