User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; fr-fr; TECNO M3 Build/JDQ39) AppleWebKit/534.30 (KHTML, like Gecko) FlyFlow/1.4 Version/4.0 Mobile Safari/534.30

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
FlyFlow 1.4WebKit Android 4.2Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Android Browser WebKit Android 4.2Tecno MobileM3smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.2.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Baidu Explorer 1.4closeAndroid 4.2.2TecnoM3closeclosecloseclose Detail
WhichBrowser
2.0.9
Baidu Browser 1.4Webkit 534.30Android 4.2.2TecnoM3mobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.2closeAndroid 4.2TecnoM3Smartphoneyesyescloseclose 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 16:38:45 | by ThaDafinser