User agent detail

Mozilla/5.0 (Linux; Android 4.4.2; A10100 Build/KOT49H) 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-563.php
Chrome 38.0Blink unknownAndroid 4.4NomiA10100Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 38.0Blink Android 4.4NomiA10100Tabletyesyes0.0156 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Chrome 38.0closeAndroid closecloseTabletyesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Chrome 38.0.2125.114closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 38.0.2125.114closeAndroidOS 4.4.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 38.0.2125.114closeAndroid 4.4.2A10100desktop-browsercloseclose0.2964 Detail
PiwikDeviceDetector
3.6.1
Chrome 38.0Blink Android 4.4tabletyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 38.0.2125.114closeAndroid 4.4.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 38.0.2125closeAndroid 4.4.2A10100closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 38.0.2125.114WebKit 537.36closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.4.2closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Chrome 38.0.2125.114WebKit 537.36Android 4.4.2closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Chrome 38Blink Android 4.4.2A10100tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 38.0.2125.114closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 38.0.2125.114closeAndroid 4.4.2Tabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 38.0.2125.114closeAndroid 4.4.2closeclosecloseclosecloseclose0 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