Woothee - overview

Here you find the details of this provider

We analyzed 6136 user agents
Group Percent Total Actions
Results found 90.74 %
5568 Not found
Browser found 80.77 %
4956 Detected names Not found
Engine found 0 %
0 Detected names Not found
Operating system found 0 %
0 Detected names Not found
Device detected 84.13 %
5162
Device model found 0 %
0 Detected models
Device brand found 0 %
0 Detected brands
Device type found 84.13 %
5162 Detected types
As mobile detected 62.84 %
3856
As bot detected 72.9 %
234 Not detected as bot
Bot name found 72.9 %
234
Bot type found 0 %
0

I'm done here

More informations

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 ideads at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2015-11-20 13:30:57 | by ThaDafinser