User agent detail

Mozilla/5.0 (Linux;Android 4.4.2; SM - T531 Build/KOT-49H) AppleWebKit/537.36(KHTML,like Gecko) Chrome/39.0.2171.93 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-529.php
Chrome 39.0Blink unknownAndroid 4.4SamsungGalaxy Tab 4 10.1Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 39.0Blink Android 4.4SamsungGalaxy Tab 4 10.1Tabletyesyes0.013 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 39.0closeAndroid closecloseTabletyesyesclose0.017 Detail
DonatjUAParser
v0.5.1
Chrome 39.0.2171.93closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 39.0.2171.93closeAndroidOS 4.4.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 39.0.2171.93closeAndroid 4.4.2SM - T531desktop-browsercloseclose0.29502 Detail
PiwikDeviceDetector
3.6.1
Chrome 39.0Blink Android 4.4tabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 39.0.2171.93closeAndroid 4.4.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 39.0.2171closeAndroid 4.4.2SM - T531closeclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 39.0.2171.93WebKit 537.36closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.4.2closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom

Chrome 39.0.2171.93WebKit 537.36Android 4.4.2closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Chrome 39Blink Android 4.4.2SM - T531tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 39.0.2171.93closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 39.0.2171.93closeAndroid 4.4.2Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 39.0.2171.93closeAndroid 4.4.2closeclosecloseclosecloseclose0.001 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 08:09:16 | by ThaDafinser