JenssegersAgent overview - v2.3.3

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 92.8%
30963 Not detected
Browser names 77.14%
25737 Detected Not detected
Engine name Not available with this provider
Operating systems 78.84%
26303 Detected Not detected
Device brands Not available with this provider
Device models Not available with this provider
Device types Not available with this provider
Is mobile 77.5%
25857 Not detected
Is bot 232 Detected Not detected
Bot names 232 Detected Not detected
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 08:24:59 | by ThaDafinser