User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.5; zh-CN; DOOV_D300 Build/MocorDroid2.3.5) AppleWebKit/534.31 (KHTML, like Gecko) UCBrowser/8.8.3.278 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 DOOVD300closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 8.8WebKit Android 2.3Mobile Phoneyesyes0.046 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 8.8closeAndroid closecloseMobile Phoneyesyesclose0.061 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 2.3.5closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

UC Browser 8.8.3.278closeAndroid 2.3.5DOOV_D300mobile-browseryescloseclose0.29802 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.8WebKit MocorDroid 2.3DoovD300smartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.5closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.8.3closeAndroid 2.3.5DOOVD300closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.5closecloseclosecloseclose0.09301 Detail
WhatIsMyBrowserCom

UC Browser 8.8.3.278WebKit 534.31Android 2.3.5closeclosecloseclosecloseclose0.24901 Detail
WhichBrowser
v2.0.18
UC Browser 8.8Webkit 534.31Android 2.3.5DOOVD300mobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 8.8.3closeAndroid 2.3.5Feature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
UC Browser 8.8.3.278closeAndroid 2.3.5closeclosecloseclosecloseclose0 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 08:00:42 | by ThaDafinser