Wurfl overview - 1.7.1.0

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 93.37%
31151 Not detected
Browser names 74.67%
24914 Detected Not detected
Engine name Not available with this provider
Operating systems 68%
22688 Detected Not detected
Device brands 48.57%
16206 Detected Not detected
Device models 49.49%
16512 Detected Not detected
Device types 88.87%
29650 Detected Not detected
Is mobile 78.11%
26061 Not detected
Is bot 1501 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 2016-05-17 08:26:22 | by ThaDafinser