User agent detail

Instagram 5.1.7 Android (17/4.2.2; 480dpi; 1080x1800; asus; K00G; K00G; redhookbay; de_DE)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
AsusK00G Detail
Providers
BrowscapPhp
6012
Instagram App WebKit Android AppleMobile Deviceyesyes0.01 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid mobile-browseryescloseclose0.29006 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android AsusFonepad Note 6phabletyes0.004 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
closeAndroid AsusK00Gcloseclosecloseclose0.006 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.41608 Detail
WhichBrowser
2.0.10
Android Browser Android mobile:smartyescloseclose0.132 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.04601 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 13:41:48 | by ThaDafinser