User agent detail

Mozilla/5.0 (Linux; U; Android 2.2.2; En-gb; ZTE-U V852 Build/FRF91) AppleWebKit/533.1 (KHTML, Like Gecko) Version/4.0 Mobile Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ZTEV852closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.2Mobile Phoneyesyes0.069 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.017 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.2.2ZTEV852 Dreamermobile-browseryescloseclose0.28602 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.2ZTEU V852smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 2.2.2closeAndroid 2.2.2ZTEV852closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.2.2closecloseclosecloseclose0.084 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.2.2ZTE Ucloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 533.1Android 2.2.2ZTEV852 Dreamermobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.2.2closeAndroid 2.2.2Smartphoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.2.2ZTEUcloseclosecloseclosecloseclose0 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 08:05:56 | by ThaDafinser