SinergiBrowserDetector - overview

Here you find the details of this provider

We analyzed 6136 user agents
Group Percent Total Actions
Results found 92.65 %
5685 Not found
Browser found 87.65 %
5378 Detected names Not found
Engine found 0 %
0 Detected names Not found
Operating system found 80.48 %
4938 Detected names Not found
Device detected 62.04 %
3807
Device model found 7.86 %
482 Detected models
Device brand found 0 %
0 Detected brands
Device type found 0 %
0 Detected types
As mobile detected 56.55 %
3470
As bot detected 64.49 %
207 Not detected as bot
Bot name found 0 %
0
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 13:30:56 | by ThaDafinser