User agent detail

Mozilla/5.0 (X11; Linux x86_64; rv:29.0) Gecko/20100101 Firefox/29.0 SeaMonkey/2.26a1 Lightning/3.1a1

Detected by 8 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
SeaMonkey 2.26Gecko Linux Linux DesktopDesktop Detail
DonatjUAParser
v0.5.0
Firefox 29.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
SeaMonkey 2.26Gecko GNU/Linux desktop Detail
SinergiBrowserDetector
6.0.0
SeaMonkey 2.26a1closeLinux closecloseclosecloseclose Detail
UAParser
v3.4.5
SeaMonkey 2.26.0closeLinux closeclosecloseclose Detail
WhichBrowser
2.0.9
Lightning 3.1Gecko 29.0Linux desktopcloseclose Detail
Woothee
v1.2.0
Firefox 29.0closeclosecloseclosepcclosecloseclose Detail
Wurfl
1.6.4
Firefox 29.0closeLinux x86_64 Desktopcloseclose Detail

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 2016-01-26 16:42:52 | by ThaDafinser