User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; TP8-1000 Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.64 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ionikTP8-1000closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.0Mobile Phoneyesyes0.026 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.029 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.64closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.64closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 28.0.1500.64closeAndroid 4.0.4TP8-1000desktop-browsercloseclose0.29902 Detail
PiwikDeviceDetector
3.6.1
Chrome 28.0Blink Android 4.0tabletyes0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.64closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 28.0.1500closeAndroid 4.0.4ionikTP8-1000closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 28.0.1500.64WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.062 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.64WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.64Blink Android 4.0.4TP8-1000tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 28.0.1500.64closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.64closeAndroid 4.0.4Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.64closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 07:58:01 | by ThaDafinser