User agent detail

Instagram 3.0.5 Android (10/2.3.6; 320dpi; 800x1280; samsung; SAMSUNG-SGH-I717; SGH-I717; qcom; en)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SamsungSAMSUNG-SGH-I717 Detail
Providers
BrowscapPhp
6012
Instagram App 3.0WebKit Android AppleMobile Deviceyesyes0.012 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Android Browser closeAndroid SamsungGalaxy Notemobile-browseryescloseclose0.264 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android SamsungSGH-I717smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid SamsungSAMSUNG-SGH-I717closeclosecloseclose0.014 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android Samsungcloseclosecloseclosecloseclose0.406 Detail
WhichBrowser
2.0.10
Android Browser Android SamsungGalaxy Notemobile:smartyescloseclose0.086 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.055 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 13:42:51 | by ThaDafinser