User agent detail

Mozilla/5.0 (Linux; Android 4.3; K017 Build/JSS15Q) 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-563.php
Chrome 39.0Blink unknownAndroid 4.3AsusMeMO Pad 7Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 39.0Blink Android 4.3AsusMeMO Pad 7Tabletyesyes0.063 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 39.0closeAndroid closecloseTabletyesyesclose0.015 Detail
DonatjUAParser
v0.5.1
Chrome 39.0.2171.93closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 39.0.2171.93closeAndroidOS 4.3closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 39.0.2171.93closeAndroid 4.3AsusMemoPad 7desktop-browsercloseclose0.27201 Detail
PiwikDeviceDetector
3.6.1
Chrome 39.0Blink Android 4.3Asussmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 39.0.2171.93closeAndroid 4.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 39.0.2171closeAndroid 4.3K017closeclosecloseclose0.006 Detail
UserAgentApiCom

Chrome 39.0.2171.93WebKit 537.36closeclosecloseMobileclosecloseclose0.15501 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.3closecloseclosecloseclose0.074 Detail
WhatIsMyBrowserCom

Chrome 39.0.2171.93WebKit 537.36Android 4.3closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Chrome 39Blink Android 4.3AsusMeMO Pad 7 (ME170C)tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 39.0.2171.93closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 39.0.2171.93closeAndroid 4.3AsusK017Tabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 39.0.2171.93closeAndroid 4.3closeclosecloseclosecloseclose0 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 08:00:30 | by ThaDafinser