UserAgentApiCom overview -

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 87.08%
29052 Not detected
Browser names 73.05%
24373 Detected Not detected
Rendering engines 65.76%
21939 Detected Not detected
Operating systems Not available with this provider
Device brands Not available with this provider
Device models Not available with this provider
Device types 86.45%
28842 Detected Not detected
Is mobile Not available with this provider
Is bot 209 Detected Not detected
Bot names 209 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 08:25:40 | by ThaDafinser