User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; TAB-700 Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.114 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-635.php
Chrome 38.0Blink unknownAndroid 4.0AcerIconia Tab A700Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 38.0Blink Android 4.0AcerIconia Tab A700Tabletyesyes0.013 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 38.0closeAndroid closecloseMobile Phoneyesyesclose0.029 Detail
DonatjUAParser
v0.5.1
Chrome 38.0.2125.114closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 38.0.2125.114closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 38.0.2125.114closeAndroid 4.0.4TAB-700desktop-browsercloseclose0.30002 Detail
PiwikDeviceDetector
3.6.1
Chrome 38.0Blink Android 4.0tabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 38.0.2125.114closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 38.0.2125closeAndroid 4.0.4TAB-700closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 38.0.2125.114WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.075 Detail
WhatIsMyBrowserCom

Chrome 38.0.2125.114WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.25002 Detail
WhichBrowser
v2.0.18
Chrome 38Blink Android 4.0.4TAB-700tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 38.0.2125.114closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 38.0.2125.114closeAndroid 4.0.4Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 38.0.2125.114closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 08:02:59 | by ThaDafinser