User agent detail

Instagram 5.1.0 Android (17/4.2.2; 240dpi; 480x854; GT-1317/samsung; GT-1317; GT-1317; mt6572; de_DE)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SamsungGT-1317 Detail
Providers
BrowscapPhp
6012
Instagram App WebKit Android AppleMobile Deviceyesyes0.018 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Android Browser closeAndroid Samsung; GT-1317; GT-1317; mt6572; demobile-browseryescloseclose0.27303 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android SamsungGT-1317smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
closeAndroid SamsungGT-1317closeclosecloseclose0.008 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android Samsungcloseclosecloseclosecloseclose0.42904 Detail
WhichBrowser
2.0.10
Android Browser Android Samsung; GT-1317; GT-1317; mt6572; demobile:smartyescloseclose0.17302 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.052 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 13:28:30 | by ThaDafinser