User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.3; zh-cn; CUBE_U9GT_2 Build/IML74K; 1024*720) AppleWebKit/528.5+ (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close CubeU9GT_2closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android Mobile Phoneyesyes0.025 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.019 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.046 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 4.0.3closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 4.0.3CubeU9GT2mobile-browseryescloseclose0.27102 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.0Cubetabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 4.0.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 4.0.3closeAndroid 4.0.3CubeU9GT_2closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.09701 Detail
WhatIsMyBrowserCom

Android Browser 3.1.2WebKit 528.5Android 4.0.3closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 528.5Android 4.0.3CubeU9GT2tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.0.3closeAndroid 4.0.3Smartphoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Android Webkit 3.1.2closeAndroid 4.0.3closeclosecloseclosecloseclose0 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 08:07:58 | by ThaDafinser