NeutrinoApiCom overview -

We took 29543 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 97.93%
28930 Not detected
Browser names 84.39%
24930 Detected Not detected
Engine name Not available with this provider
Operating systems 76.89%
22717 Detected Not detected
Device brands 72.57%
21438 Detected Not detected
Device brands 72.04%
21282 Detected Not detected
Device types 94.66%
27966 Detected Not detected
Is mobile 77.17%
22797 Not detected
Is bot 964 Detected Not detected
Bot names 461 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 2016-02-13 13:23:51 | by ThaDafinser