User agent detail

Mozilla/5.0 (Linux; U; Android 4.1.1; zh-cn; novo9-Spark Build/MASTER) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Safari/534.30 baiduboxapp/023_7.3_diordna_2591_6351/nwonknu_61_1.1.4_krapS-9ovon/1000232f/11797C217E2631E6E48B99FE22F146FB%7C15274284

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android 4.0WebKit Android 4.1Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Android Browser WebKit Android 4.1AinolNovo 9 Sparktabletyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.1.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Android 4.1.1closeAndroid 4.1.1Ainolnovo9-Sparkcloseclosecloseclose Detail
WhichBrowser
2.0.9
Android Browser Webkit 534.30Android 4.1.1AinovoNovo9 Sparktabletyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.1closeAndroid 4.1AinolNovo 9 SparkTabletyesyescloseclose 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 16:38:34 | by ThaDafinser