User agent detail

Instagram 5.0.7 Android (10/2.3.6; 160dpi; 320x480; samsung; YP-GS1; YP-GS1; aalto; de_DE)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SamsungYP-GS1 Detail
Providers
BrowscapPhp
6012
Instagram App 5.0WebKit Android AppleMobile Deviceyesyes0.006 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid Samsung; YP-GS1; YP-GS1; aalto; demobile-browseryescloseclose0.34003 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android SamsungGalaxy Player 3.6portable media playeryes0.005 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid SamsungYP-GS1closeclosecloseclose0.005 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.40304 Detail
WhichBrowser
2.0.10
Android Browser Android Samsung; YP-GS1; YP-GS1; aalto; demobile:smartyescloseclose0.10101 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.047 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 13:32:52 | by ThaDafinser