User agent detail

Mozilla/5.0 (Linux; U; Android 1.6; Ja-jp; SH-10B Build/S1110) 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 SharpSH-10Bclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android 1.6Sharp10BMobile Phoneyes0.059 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.013 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.076 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 1.6closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 1.6SharpLYNX SH-10Bmobile-browseryescloseclose0.29302 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.6SharpSH-10Bsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 1.6closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.6closeAndroid 1.6SharpSH-10Bcloseclosecloseclose0 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 1.6closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Android Browser 3.1.2WebKit 528.5Android 1.6closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 528.5Android 1.6SharpLYNX SH-10Bmobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.6closeAndroid 1.6Feature Phoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Android Webkit 3.1.2closeAndroid 1.6closeclosecloseclosecloseclose0.001 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 07:57:03 | by ThaDafinser