BrowscapPhp - overview

Here you find the details of this provider

We analyzed 6136 user agents
Group Percent Total Actions
Results found 90.22 %
5536 Not found
Browser found 84.27 %
5171 Detected names Not found
Engine found 81.13 %
4978 Detected names Not found
Operating system found 81.08 %
4975 Detected names Not found
Device detected 84.24 %
5169
Device model found 84.24 %
5169 Detected models
Device brand found 22.62 %
1388 Detected brands
Device type found 84.24 %
5169 Detected types
As mobile detected 69.57 %
4269
As bot detected 113.71 %
365 Not detected as bot
Bot name found 113.71 %
365
Bot type found 113.71 %
365

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 13:30:55 | by ThaDafinser