User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; TX17 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.135 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-563.php
Chrome 36.0Blink unknownAndroid 4.2IrbisTX17Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 36.0Blink Android 4.2IrbisTX17Tabletyesyes0.0156 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Chrome 36.0closeAndroid closecloseTabletyesyesclose0 Detail
DonatjUAParser
v0.5.1
Chrome 36.0.1985.135closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 36.0.1985.135closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 36.0.1985.135closeAndroid 4.2.2TX17desktop-browsercloseclose0.2964 Detail
PiwikDeviceDetector
3.6.1
Chrome 36.0Blink Android 4.2PantechTX17smartphoneyes0.0156 Detail
SinergiBrowserDetector
6.0.1
Chrome 36.0.1985.135closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 36.0.1985closeAndroid 4.2.2TX17closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 36.0.1985.135WebKit 537.36closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.08 Detail
WhatIsMyBrowserCom

Chrome 36.0.1985.135WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.2496 Detail
WhichBrowser
v2.0.18
Chrome 36Blink Android 4.2.2TX17tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 36.0.1985.135closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 36.0.1985.135closeAndroid 4.2.2Tabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 36.0.1985.135closeAndroid 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 07:51:58 | by ThaDafinser