User agent detail

Mozilla/5.0 (Linux, U, Android 1.2.3.1-RT-20111115.194356; xx; W700 Build/Aliyun_TianyunVM_v0.2.3.0) AppleWebKit/533.1 (KHTML, like Gecko) BdMobile/2.3 Version/4.0 Mobile Safari/533.1 zhangbai/042_4.0.3.2_diordna_008_084/UYNAIT_8_653491.51111102-TR-1.3.2.1_007W/1084t/CCE5D7565644EE6079E8289A6C47590F%7C214674000160568/1

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android 4.0WebKit Android Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Android Browser WebKit Android 1.2smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 1.2.3.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Android 1.2.3closeAndroid 1.2.3closeclosecloseclose Detail
WhichBrowser
2.0.9
Baidu Browser 2.3Webkit 533.1Aliyun OS 1.2.3K-TouchW700mobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit closeLinux Feature 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 16:41:43 | by ThaDafinser