Zsxsoft overview - 1.3

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 93.24%
31107 Not detected
Browser names 82.28%
27452 Detected Not detected
Engine name Not available with this provider
Operating systems 73.11%
24392 Detected Not detected
Device brands 46.01%
15351 Detected Not detected
Device models 40.17%
13403 Detected Not detected
Device types Not available with this provider
Is mobile Not available with this provider
Is bot Not available with this provider
Bot names Not available with this provider
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 08:26:31 | by ThaDafinser