YzalisUAParser - overview

Here you find the details of this provider

We analyzed 6136 user agents
Group Percent Total Actions
Results found 81.11 %
4977 Not found
Browser found 77.54 %
4758 Detected names Not found
Engine found 74.45 %
4568 Detected names Not found
Operating system found 65.78 %
4036 Detected names Not found
Device detected 7.72 %
474
Device model found 5.98 %
367 Detected models
Device brand found 7.72 %
474 Detected brands
Device type found 6.08 %
373 Detected types
As mobile detected 6.08 %
373
As bot detected 0 %
0 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 13:30:58 | by ThaDafinser