User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; zh-CN; Lenovo A859 Build/JDQ39) AppleWebKit/534.31 (KHTML, like Gecko) UCBrowser/9.2.0.383 U3/0.8.0 Mobile Safari/534.31
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-732.php
UC Browser 9.2U3 unknownAndroid 4.2LenovoA859Mobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
UC Browser 9.2U3 Android 4.2LenovoA859Mobile Phoneyesyes0.009 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.2closeAndroid closecloseMobile Phoneyesyesclose0.012 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

UC Browser 9.2.0.383closeAndroid 4.2.2LenovoA859mobile-browseryescloseclose0.28602 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.2WebKit Android 4.2LenovoA859smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 9.2.0closeAndroid 4.2.2LenovoA859closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.16001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.083 Detail
WhatIsMyBrowserCom

UC Browser 9.2.0.383WebKit 534.31Android 4.2.2closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
UC Browser 9.2Webkit 534.31Android 4.2.2LenovoA859mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.2.0closeAndroid 4.2.2LenovoA859Smartphoneyesyescloseclose0.019 Detail
Zsxsoft
1.3
UC Browser 9.2.0.383closeAndroid 4.2.2LenovoA859closeclosecloseclosecloseclose0 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 07:57:15 | by ThaDafinser