User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; Ru-ru; ZTE V8110 Build/GRK39F) 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 ZTEV8110closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.3Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.004 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.034 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.3.6closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.3.6ZTEV8110mobile-browseryescloseclose0.30702 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3ZTEV8110smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.6closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.6closeAndroid 2.3.6ZTEV8110closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15601 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.6closecloseclosecloseclose0.19801 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.3.6closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 533.1Android 2.3.6ZTE V8110mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.6closeAndroid 2.3.6Smartphoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.6ZTEV8110closeclosecloseclosecloseclose0 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 08:08:30 | by ThaDafinser