User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; ru-ru; Lenovo Pad A4 Build/JDQ39) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Safari/534.30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-635.php
Android 4.0WebKit unknownAndroid 4.2LenovoPad A4Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.2LenovoPad A4Tabletyesyes0.0156 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseTabletyesyesclose0 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.2.2LenovoPad A4mobile-browseryescloseclose0.312 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.2LenovoPad A4smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 4.2.2closeAndroid 4.2.2LenovoPad A4closeclosecloseclose0 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 4.2.2closeclosecloseclosecloseclose0.3432 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.2.2Lenovo Pad A4tabletyescloseclose0.0156 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.2.2closeAndroid 4.2.2Tabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 4.2.2LenovoPadcloseclosecloseclosecloseclose0 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 07:51:23 | by ThaDafinser