User agent detail

Mozilla/5.0 (Linux; Android 5.0; ASUS_Z00AD Build/LRX21V; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/43.0.2357.121 Mobile Safari/537.36 MicroMessenger/6.2.2.54_rec1912d.563 NetType/Internet Language/zh_TW

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android WebView 4.0Blink Android 5.0Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 43.0.2357.121closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
WeChat 6.2 Android 5.0AsusZenFone 2smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 43.0.2357.121closeAndroid 5.0closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 43.0.2357closeAndroid 5.0AsusZ00ADcloseclosecloseclose Detail
WhichBrowser
2.0.9
WeChat 6.2.2.54Blink 537.36Android 5.0AsusZenFone 2mobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 43.0.2357.121closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chromium 43closeAndroid 5.0AsusASUS_Z00ADSmartphoneyesyescloseclose 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 16:42:38 | by ThaDafinser