User agent detail

Mozilla/5.0 (Linux; Android 5.1; TPC-7001 Build/LMY47I) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.2357.93 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-940.php
Chrome 43.0Blink unknownAndroid 5.1VivaxTCP-7001Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 43.0Blink Android 5.1VivaxTCP-7001Tabletyesyes0.0166 Detail
BrowscapLite
6014
Chrome 43.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Chrome 43.0closeAndroid closecloseTabletyesyesclose0.013 Detail
DonatjUAParser
v0.5.1
Chrome 43.0.2357.93closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 43.0.2357.93closeAndroidOS 5.1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 43.0.2357.93closeAndroid 5.1TPC-7001desktop-browsercloseclose0.30403 Detail
PiwikDeviceDetector
3.6.1
Chrome 43.0Blink Android 5.1tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 43.0.2357.93closeAndroid 5.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 43.0.2357closeAndroid 5.1JaytechTPC-7001closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 43.0.2357.93WebKit 537.36closeclosecloseMobileclosecloseclose0.18321 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 5.1closecloseclosecloseclose0.0918 Detail
WhatIsMyBrowserCom

Chrome 43.0.2357.93WebKit 537.36Android 5.1closeclosecloseclosecloseclose0.25102 Detail
WhichBrowser
v2.0.18
Chrome 43Blink Android 5.1TPC-7001tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 43.0.2357.93closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 43.0.2357.93closeAndroid 5.1Tabletyesyescloseclose0.027 Detail
Zsxsoft
1.3
Google Chrome 43.0.2357.93closeAndroid 5.1closeclosecloseclosecloseclose0.001 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 07:50:15 | by ThaDafinser