User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.4; ru-ru; 9103W Build/IMM76D) AppleWebKit/537.16 (KHTML, like Gecko) Version/4.0 Safari/537.16
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-635.php
Android 4.0WebKit unknownAndroid 4.0Perfeo9103WTabletyesyes0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.0Perfeo9103WTabletyesyes0.066 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.07901 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.0.49103Wmobile-browseryescloseclose0.30402 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.0yes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.0.4closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 4.0.4closeAndroid 4.0.49103Wcloseclosecloseclose0.002 Detail
UserAgentApiCom

Safari 537.16WebKit 537.16closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.073 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 537.16Android 4.0.4closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 537.16Android 4.0.49103Wtabletyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.0.4closeAndroid 4.0.4Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 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 07:58:20 | by ThaDafinser