UAParser overview - v3.4.5

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 97.31%
32465 Not detected
Browser names 80.8%
26959 Detected Not detected
Engine name Not available with this provider
Operating systems 74.63%
24901 Detected Not detected
Device brands 72.6%
24221 Detected Not detected
Device models 77.02%
25698 Detected Not detected
Device types Not available with this provider
Is mobile Not available with this provider
Is bot 1428 Detected Not detected
Bot names 1370 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 08:25:32 | by ThaDafinser