User agent detail

Mozilla/5.0 (Linux; Android 4.2.1; bq Aquaris 5.7 Build/JOP40D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Mobile Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 32.0Blink Android 4.2Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 32.0.1700.99closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 32.0Blink Android 4.2bqAquaris 5.7smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 32.0.1700.99closeAndroid 4.2.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 32.0.1700closeAndroid 4.2.1bqAquaris 5.7closeclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 32Blink 537.36Android 4.2.1bqAquaris 5.7mobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 32.0.1700.99closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 32closeAndroid 4.2BQAquaris 5.7Smartphoneyesyescloseclose 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 16:42:09 | by ThaDafinser