User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.7; fr-fr; MOT-XT615 Build/V1.48C) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/smartphone-2.yml
Android Browser Android 2.3.7WebKit MotorolaMotoluxesmartphone Detail
Providers
BrowscapPhp
6012
Android 4.0WebKit Android 2.3MotorolaXT615Mobile Phoneyes0.01901 Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Webkit 4.0closeAndroid 2.3.7MotorolaXT615mobile-browseryescloseclose0.366 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android 2.3MotorolaMotoluxesmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 2.3.7closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.7closeAndroid 2.3.7MotorolaXT615closeclosecloseclose0.003 Detail
UserAgentStringCom
Android Webkit Browser closeAndroid 2.3.7closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom
Android Browser 4.0WebKit 533.1Android 2.3.7closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
Android Browser Webkit 533.1Android 2.3.7MotorolaMOTO XT615mobile:smartyescloseclose0.023 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
Android Webkit 2.3closeAndroid 2.3MotorolaXT615Smartphoneyesyescloseclose0.04301 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 2016-02-13 13:41:10 | by ThaDafinser