User agent detail

Mozilla/5.0 (Linux; Tizen 2.2; SAMSUNG SGH-N099) AppleWebKit/537.3 (KHTML, like Gecko) Version/2.2 Mobile Safari/537.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-tizen.yaml
Samsung Browser Webkit 537.3Tizen 2.2SGH-N099 prototypemobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Samsung WebView 2.2WebKit Tizen 2.2Mobile Phoneyesyes0.011 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Samsung WebView 2.2closeTizen closecloseMobile Phoneyesyesclose0.007 Detail
DonatjUAParser
v0.5.1
Safari 2.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 2.2closeLinux closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Mobile Safari 2.2closeLinux SamsungSGH-N099 prototypemobile-browseryescloseclose0.23901 Detail
PiwikDeviceDetector
3.6.1
Mobile Safari 2.2WebKit Tizen 2.2SamsungSGH-N099smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Safari 2.2closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Safari 2.2closeLinux SamsungSGH-N099closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 537.3WebKit 537.3closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Safari 2.2closeLinux closecloseclosecloseclose0.068 Detail
WhatIsMyBrowserCom

WebKit 537.3Linux Samsungcloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Samsung Browser Webkit 537.3Tizen 2.2SamsungSGH-N099 prototypemobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 2.2closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Safari 2.2closeLinux TizenFeature Phoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Mobile Safari 2.2closeTizen Samsungcloseclosecloseclosecloseclose0.002 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 07:56:16 | by ThaDafinser