User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.7-Jeremy; zh-CN; Lenovo A668t Build/GWK74) AppleWebKit/534.31 (KHTML, like Gecko) UCBrowser/9.2.4.329 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 LenovoA668tclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.2U3 Android 2.3Mobile Phoneyesyes0.12901 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.2closeAndroid closecloseMobile Phoneyesyesclose0.047 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 2.3.7closeclosecloseyescloseclose0.004 Detail
NeutrinoApiCom

UC Browser 9.2.4.329closeAndroid 2.3.7-JeremyLenovoA668mobile-browseryescloseclose0.27302 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.2WebKit Android 2.3LenovoA668tsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.7closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 9.2.4closeAndroid 2.3.7LenovoA668tcloseclosecloseclose0.005 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.7-Jeremyclosecloseclosecloseclose0.06 Detail
WhatIsMyBrowserCom

UC Browser 9.2.4.329WebKit 534.31Android 2.3.7closeclosecloseclosecloseclose0.25101 Detail
WhichBrowser
v2.0.18
UC Browser 9.2Webkit 534.31Android 2.3.7LenovoA668mobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.2.4closeAndroid 2.3.7Feature Phoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
UC Browser 9.2.4.329closeAndroid 2.3.7LenovoA668tcloseclosecloseclosecloseclose0 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 08:07:37 | by ThaDafinser