User agent detail

Instagram 1.1.7 Android (10/2.3.4; 160dpi; 480x320; LGE/Verizon; LG-VS700; VS700; gelato; en_US)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGVS700 Detail
Providers
BrowscapPhp
6012
Instagram App 1.1WebKit Android AppleMobile Deviceyesyes0.008 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid LGVerizon;mobile-browseryescloseclose0.279 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android LGEsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.002 Detail
UAParser
v3.4.5
closeAndroid LGVS700closeclosecloseclose0.011 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android LGLGVS700closeclosecloseclosecloseclose0.408 Detail
WhichBrowser
2.0.10
Android Browser Android LGVerizon;mobile:smartyescloseclose0.08501 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.045 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 13:29:59 | by ThaDafinser