User agent detail

Mozilla/5.0 (HW-HUAWEI_C8500/C8500V100R001C92B234;U;Android/2.1;240*320;CTC/2.0) AppleWebKit/530.17 Mobile Safari/530.17 parameters/{scr=427_320,cm=1,ql=l,imei=a0000020ccd264,bm=1,eng=adrmini7,mdm=1,mdl=C8500,ps=1} tiantian(securitypay)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
No result found
DonatjUAParser
v0.5.0
Safari 530.17closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Android Browser WebKit Android 2.1HTCadrmini7smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Safari closeAndroid 2.1closeclosecloseclose Detail
WhichBrowser
2.0.9
Android Browser Webkit 530.17Android 2.1HuaweiC8500mobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 2.1closeAndroid 2.1Feature Phoneyesyescloseclose 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 16:38:27 | by ThaDafinser