User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.5; en-US; QMobile A2 Lite Build/MocorDroid2.3.5) AppleWebKit/534.31 (KHTML, like Gecko) UCBrowser/9.0.1.275 U3/0.8.0 Mobile Safari/534.31
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close QmobileA2 Liteclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.0U3 Android 2.3Mobile Phoneyesyes0.022 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.0closeAndroid closecloseMobile Phoneyesyesclose0.031 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 2.3.5closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

UC Browser 9.0.1.275closeAndroid 2.3.5Q-MobileBolt A2 Litemobile-browseryescloseclose0.28702 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.0WebKit MocorDroid 2.3QMobileA2 Litesmartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.5closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 9.0.1closeAndroid 2.3.5QmobileA2 Litecloseclosecloseclose0.002 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.5closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

UC Browser 9.0.1.275WebKit 534.31Android 2.3.5closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
UC Browser 9.0Webkit 534.31Android 2.3.5Q-MobileBolt A2 Litemobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.0.1closeAndroid 2.3.5Feature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
UC Browser 9.0.1.275closeAndroid 2.3.5closeclosecloseclosecloseclose0.001 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 2016-05-10 07:58:53 | by ThaDafinser