User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; B860 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.131 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-635.php
Chrome 36.0Blink unknownAndroid 4.2CrownMicroB860Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 36.0Blink Android 4.2CrownMicroB860Tabletyesyes0.018 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 36.0closeAndroid closecloseTabletyesyesclose0.008 Detail
DonatjUAParser
v0.5.1
Chrome 36.0.1985.131closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 36.0.1985.131closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 36.0.1985.131closeAndroid 4.2.2B860desktop-browsercloseclose0.29602 Detail
PiwikDeviceDetector
3.6.1
Chrome 36.0Blink Android 4.2tabletyes0.007 Detail
SinergiBrowserDetector
6.0.1
Chrome 36.0.1985.131closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 36.0.1985closeAndroid 4.2.2B860closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 36.0.1985.131WebKit 537.36closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.09801 Detail
WhatIsMyBrowserCom

Chrome 36.0.1985.131WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Chrome 36Blink Android 4.2.2B860tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 36.0.1985.131closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 36.0.1985.131closeAndroid 4.2.2Tabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 36.0.1985.131closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 08:05:08 | by ThaDafinser