User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.5; Zh-CN; DOOV_D770 Build/GRJ90) AppleWebKit/528.5+ (KHTML, Like Gecko) Version/3.1.2 Mobile Safari/525.20.1 UCBrowser/8.8.3.272 Mobile
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close DOOVD770closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 8.8WebKit Android 2.3Mobile Phoneyesyes0.035 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.017 Detail
BrowscapPhp
6014
UC Browser 8.8closeAndroid closecloseMobile Phoneyesyesclose0.052 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 2.3.5closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 2.3.5DOOVD770mobile-browseryescloseclose0.30102 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.8WebKit Android 2.3DoovD770smartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 2.3.5closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.8.3closeAndroid 2.3.5DOOVD770closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.16801 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.5closecloseclosecloseclose0.079 Detail
WhatIsMyBrowserCom

UC Browser 8.8.3.272WebKit 528.5Android 2.3.5closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
UC Browser 8.8Webkit 528.5Android 2.3.5DOOVD770mobile:smartyescloseclose0.004 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 8.8.3closeAndroid 2.3.5Feature Phoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
UC Browser 8.8.3.272closeAndroid 2.3.5closeclosecloseclosecloseclose0.001 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 07:55:59 | by ThaDafinser