User agent detail

Mozilla/5.0 (Linux; U; Android 2.2.2; zh-cn; ZTE-T_U880 Build/FRG83G; 480*800) AppleWebKit/528.5+ (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1/UCWEB7.9.3.103/139/800
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ZTET_U880closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android 2.2Mobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.0468 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 2.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 2.2.2ZTEU880 Blademobile-browseryescloseclose0.2808 Detail
PiwikDeviceDetector
3.6.1
UC Browser 7.9WebKit Android 2.2ZTET U880smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 2.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 7.9.3closeAndroid 2.2.2ZTET_U880closeclosecloseclose0 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

UC Browser 7.9.3.103closeAndroid 2.2.2closecloseclosecloseclose0.0936 Detail
WhatIsMyBrowserCom

UC Browser 7.9.3.103WebKit 528.5Android 2.2.2ZTE Tcloseclosecloseclosecloseclose0.2078 Detail
WhichBrowser
v2.0.18
UC Browser 7.9Webkit 528.5Android 2.2.2ZTEU880 Blademobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.2.2closeAndroid 2.2.2Smartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
UC Browser 7.9.3.103closeAndroid 2.2.2ZTEU880closeclosecloseclosecloseclose0 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 07:51:15 | by ThaDafinser