User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; en-US; Celkon_A97 Build/Celkon_A97Celkon_A97) 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 CelkonA97closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.0U3 Android 2.3Mobile Phoneyesyes0.03 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.0closeAndroid closecloseMobile Phoneyesyesclose0.038 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 2.3.6closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

UC Browser 9.0.1.275closeAndroid 2.3.6CelkonA97mobile-browseryescloseclose0.28302 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.0WebKit Android 2.3CelkonA97smartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.6closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 9.0.1closeAndroid 2.3.6CelkonA97closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.6closecloseclosecloseclose0.073 Detail
WhatIsMyBrowserCom

UC Browser 9.0.1.275WebKit 534.31Android 2.3.6closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
UC Browser 9.0Webkit 534.31Android 2.3.6CelkonA97mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.0.1closeAndroid 2.3.6Feature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
UC Browser 9.0.1.275closeAndroid 2.3.6closeclosecloseclosecloseclose0.001 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 08:05:05 | by ThaDafinser