User agent detail

Mozilla/5.0 (Linux; Android 4.3; Lenovo A355e Build/JLS36C) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.94 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-732.php
Chrome 28.0Blink unknownAndroid 4.3LenovoA355eMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.3LenovoA355eMobile Phoneyesyes0.044 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.02 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.94closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.94closeAndroidOS 4.3closeclosecloseyescloseclose0.004 Detail
NeutrinoApiCom

Chrome Mobile 28.0.1500.94closeAndroid 4.3LenovoA355mobile-browseryescloseclose0.27202 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 28.0Blink Android 4.3LenovoA355esmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.94closeAndroid 4.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome Mobile 28.0.1500closeAndroid 4.3LenovoA355ecloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 28.0.1500.94WebKit 537.36closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.3closecloseclosecloseclose0.13501 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.94WebKit 537.36Android 4.3closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.94Blink Android 4.3LenovoA355mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 28.0.1500.94closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.94closeAndroid 4.3LenovoA355ESmartphoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.94closeAndroid 4.3LenovoA355ecloseclosecloseclosecloseclose0 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 07:59:19 | by ThaDafinser