User agent detail

Instagram 5.0.2 Android (15/4.0.4; 240dpi; 480x800; AIRIS; TM450; AIRIS_TM450; qcom; es_ES)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
AirisTM450 Detail
Providers
BrowscapPhp
6012
Instagram App 5.0WebKit Android AppleMobile Deviceyesyes0.007 Detail
DonatjUAParser
v0.5.0
Instagram closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid mobile-browseryescloseclose0.295 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android yes0.007 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid AirisTM450closeclosecloseclose0.001 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.409 Detail
WhichBrowser
2.0.10
Android Browser Android mobile:smartyescloseclose0.16202 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.075 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 13:29:38 | by ThaDafinser