Wurfl overview - 1.6.4

We took 8751 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 93.22%
8158 Not detected
Browser names 82.72%
7239 Detected Not detected
Engine name Not available with this provider
Operating systems 80.54%
7048 Detected Not detected
Device brands 53.23%
4658 Detected Not detected
Device brands 58.27%
5099 Detected Not detected
Device types 91%
7963 Detected Not detected
Is mobile 73.15%
6401
Is bot 195
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 2016-01-26 17:09:19 | by ThaDafinser