User agent detail

Mozilla/5.0 (Linux; Tizen 2.2; SAMSUNG GT-I8805-ORANGE/DailyRedwoodLTEEUROPEN_20131104.001) 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 2.2"Redwood"mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Samsung WebView 2.2WebKit Tizen 2.2Mobile Phoneyesyes0.013 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Samsung WebView 2.2closeTizen closecloseMobile Phoneyesyesclose0.006 Detail
DonatjUAParser
v0.5.1
Safari 2.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 2.2closeLinux closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Mobile Safari 2.2closeLinux Samsung"Redwood"mobile-browseryescloseclose0.21301 Detail
PiwikDeviceDetector
3.6.1
Mobile Safari 2.2WebKit Tizen 2.2SamsungGT-I8805-ORANGEsmartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.1
Safari 2.2closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Safari 2.2closeLinux SamsungGT-I8805-ORANGEcloseclosecloseclose0.007 Detail
UserAgentApiCom

Safari 537.3WebKit 537.3closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Safari 2.2closeLinux closecloseclosecloseclose0.06 Detail
WhatIsMyBrowserCom

WebKit 537.3Linux Samsungcloseclosecloseclosecloseclose0.24601 Detail
WhichBrowser
v2.0.18
Samsung Browser Webkit 537.3Tizen 2.2Samsung"Redwood"mobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari 2.2closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Safari 2.2closeLinux TizenFeature Phoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Mobile Safari 2.2closeTizen SamsungI8805-ORANGEcloseclosecloseclosecloseclose0.001 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 08:08:59 | by ThaDafinser