User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; ASUS Transformer Pad TF300T Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.59 Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 29.0Blink Android 4.0AsusTransformer Pad TF300TTabletyesyes Detail
DonatjUAParser
v0.5.0
Chrome 29.0.1547.59closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 29.0Blink Android 4.0AsusTransformer Pad TF300Ttabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 29.0.1547.59closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 29.0.1547closeAndroid 4.0.3AsusTransformer Pad TF300Tcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 29Blink 537.36Android 4.0.3AsusTransformer Pad 300tabletyescloseclose Detail
Woothee
v1.2.0
Chrome 29.0.1547.59closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 30closeAndroid 4.0AsusTF300TTabletyesyescloseclose 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 16:42:14 | by ThaDafinser