Wurfl overview - 1.6.4

We took 29543 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 93.57%
27643 Not detected
Browser names 81.58%
24101 Detected Not detected
Engine name Not available with this provider
Operating systems 77.54%
22908 Detected Not detected
Device brands 48.9%
14446 Detected Not detected
Device brands 50.32%
14865 Detected Not detected
Device types 93.07%
27495 Detected Not detected
Is mobile 83.53%
24678 Not detected
Is bot 148 Detected Not detected
Bot names Not available with this provider
Bot types Not available with this provider

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-02-13 13:22:55 | by ThaDafinser