User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; Transformer TF101 Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.72 Safari/537.36 OPR/19.0.1340.69721

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 32.0Blink Android 4.0AsusEee Pad Transformer TF101Tabletyesyes Detail
DonatjUAParser
v0.5.0
Opera Next 19.0.1340.69721closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Opera 19.0Blink Android 4.0AsusTransformer TF101tabletyes Detail
SinergiBrowserDetector
6.0.0
Opera 19.0.1340.69721closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Opera 19.0.1340closeAndroid 4.0.3AsusTransformer TF101closeclosecloseclose Detail
WhichBrowser
2.0.9
Opera 19.0Blink 537.36Android 4.0.3AsusEee Pad Transformertabletyescloseclose Detail
Woothee
v1.2.0
Opera 19.0.1340.69721closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Opera 19closeAndroid 4.0AsusTF101Tabletyesyescloseclose 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 16:42:30 | by ThaDafinser