User agent detail

WhatsApp/2.11.164 Android/4_2_2 Device/samsung-GT-I9152
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SamsungGT-I9152 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
WhatsApp 2.11.164closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid 4SamsungGalaxy Mega 5.8 Plusmobile-browseryescloseclose0.26403 Detail
PiwikDeviceDetector
3.5.2
WhatsApp 2.11 Android SamsungGALAXY Mega 5.8phabletyes0.009 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid SamsungGT-I9152closeclosecloseclose0.007 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android Samsungcloseclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
WhatsApp 2.11 Android 4.2.2SamsungGalaxy Mega 5.8 Plusmobile:smartyescloseclose0.099 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.05701 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 2016-02-13 13:42:17 | by ThaDafinser