NeutrinoApiCom overview -

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 97.43%
32506 Not detected
Browser names 84.7%
28258 Detected Not detected
Engine name Not available with this provider
Operating systems 77.55%
25874 Detected Not detected
Device brands 71.05%
23704 Detected Not detected
Device models 76.21%
25428 Detected Not detected
Device types 93.97%
31351 Detected Not detected
Is mobile 72.49%
24185 Not detected
Is bot 1155 Detected Not detected
Bot names 534 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 08:25:07 | by ThaDafinser