BrowscapFull overview - 6014

We took 33364 different user agents and analyzed them with this provider
Group Percent Total Actions
Results found 83.92%
27999 Not detected
Browser names 78.88%
26318 Detected Not detected
Rendering engines 70.51%
23524 Detected Not detected
Operating systems 72.92%
24330 Detected Not detected
Device brands 23.25%
7757 Detected Not detected
Device models 19.82%
6613 Detected Not detected
Device types 78.6%
26225 Detected Not detected
Is mobile 67.16%
22407 Not detected
Is bot 1681 Detected Not detected
Bot names 1469 Detected Not detected
Bot types 1681 Detected Not detected

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 08:24:27 | by ThaDafinser