User agent detail

UCWEB/2.0 (Java; U; MIDP-2.0; xx; SAMSUNG-GT-S8600) U2/1.0.0 UCBrowser/9.5.0.449 U2/1.0.0 Mobile UNTRUSTED/1.0
Additional headers
X-Ucbrowser-Ua pf(Java);la(en-US);re(U2/1.0.0);dv(SAMSUNG-GT-S8600);pr(UCBrowser/9.5.0.449);ov(MIDP-2.0);pi(240*320);ss(240*320);up(U2/1.0.0);er(U);bt(GJ);pm(1);bv(0);nm(0);im(1);sr(0);nt(99);
X-Ucbrowser-Device-Ua ?
X-Ucbrowser-Device samsung#-GT-S8600
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/browser-uc.yaml
UC Browser 9.5Gecko Bada Wave 3mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.5U2 JAVA Mobile Phoneyes0.022 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.5closeJAVA closecloseMobile Phoneyesclose0.031 Detail
DonatjUAParser
v0.5.1
UCWEB 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
UCBrowser closeJavaOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

UC Browser close SamsungGT-S8600mobile-browseryescloseclose0.24202 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.5 SamsungGT-S8600smartphoneyes0.018 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
UC Browser 9.5.0close SamsungGT-S8600closeclosecloseclose0.007 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.13801 Detail
UserAgentStringCom

UC Browser 2.0close closecloseclosecloseclose0.11801 Detail
WhatIsMyBrowserCom

UC Browser 9.5.0.449 Samsungcloseclosecloseclosecloseclose0.45105 Detail
WhichBrowser
v2.0.18
UC Browser 9.5Gecko Bada SamsungWave 3mobile:smartyescloseclose0.08501 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
UCBrowser Java Applet 9.5.0.449close SamsungGT-S8600Smartphoneyesyescloseclose0.032 Detail
Zsxsoft
1.3
UC Browser 9.5.0.449close SamsungGT-S8600closeclosecloseclosecloseclose0.001 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 2016-05-17 06:37:36 | by ThaDafinser