User agent detail

Instagram 3.0.5 Android (10/2.3.6; 240dpi; 480x800; samsung; SAMSUNG-SGH-I927; SGH-I927; n1; en_US)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SamsungSAMSUNG-SGH-I927 Detail
Providers
BrowscapPhp
6012
Instagram App 3.0WebKit Android AppleMobile Deviceyesyes0.017 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid SamsungCaptivate Glidemobile-browseryescloseclose0.26997 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android SamsungSGH-I927smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid SamsungSAMSUNG-SGH-I927closeclosecloseclose0.012 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android Samsungcloseclosecloseclosecloseclose0.40396 Detail
WhichBrowser
2.0.10
Android Browser Android SamsungCaptivate Glidemobile:smartyescloseclose0.07401 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.11401 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 13:34:50 | by ThaDafinser