User agent detail

Mozilla/5.0 (Android; U; -GB) AppleWebKit/533.19.4 (KHTML, like Gecko) AdobeAIR/13.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-340.php
Adobe AIR 13.0Android unknownunknown unknowngeneral Mobile PhoneMobile Phoneyesyes Detail
Providers
BrowscapPhp
6012
Adobe AIR 13.0WebKit Android Mobile Phoneyesyes0.037 Detail
DonatjUAParser
v0.5.0
Android Browser 533.19.4closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Adobe AIR runtime 13.0closeAndroid software-librarycloseclose0.26103 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android yes0.005 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
AppleMail 533.19.4closeAndroid closeclosecloseclose0.013 Detail
UserAgentStringCom
Android Webkit Browser closeAndroid closecloseclosecloseclose0.11101 Detail
WhatIsMyBrowserCom
Adobe AIR 13.0WebKit 533.19.4Android closeclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
AdobeAIR 13.0Webkit 533.19.4Android mobile:smartyescloseclose0.042 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.024 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 13:32:47 | by ThaDafinser