User agent detail

SV1 Android Application (13, sv1 v2.1) - YIFANG POM727MC MID - FFFFFFFF-FC86-1B92-1BCE-54530033C587
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
YIFANGPOM727MC Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
SV1 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid mobile-browseryescloseclose0.30603 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android yes0.012 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid YIFANGPOM727MCcloseclosecloseclose0.004 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android China MID Tabletcloseclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
Android Browser Android mobile:smartyescloseclose0.26903 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.042 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 13:27:27 | by ThaDafinser