User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; sQuad 7.82 3G Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.74 Safari/537.36 OPR/28.0.1764.89981
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-635.php
Opera Mobile 28.0Android 4.2unknown ExplaysQuad 7.82 3GTabletyesyes Detail
Providers
BrowscapPhp
6012
Opera Mobile 28.0Blink Android 4.2ExplaysQuad 7.82 3GTabletyesyes0.09301 Detail
DonatjUAParser
v0.5.0
Opera Next 28.0.1764.89981closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Opera Mobile 28.0.1764.89981closeAndroid 4.2.2ExplaysQuadmobile-browseryescloseclose0.28503 Detail
PiwikDeviceDetector
3.5.2
Opera 28.0Blink Android 4.2yes0.005 Detail
SinergiBrowserDetector
6.0.0
Opera 28.0.1764.89981closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Opera 28.0.1764closeAndroid 4.2.2sQuad 7.82 3Gcloseclosecloseclose0.019 Detail
UserAgentStringCom
Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.10101 Detail
WhatIsMyBrowserCom
Opera 28.0.1764.89981WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.41704 Detail
WhichBrowser
2.0.10
Opera 28.0Blink Android 4.2.2sQuad 7.82 3Gtabletyescloseclose0.08301 Detail
Woothee
v1.2.0
Opera 28.0.1764.89981closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
Opera 28closeAndroid 4.2ExplaysQuadTabletyesyescloseclose0.08001 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 13:34:26 | by ThaDafinser