User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; en-; ZTE N790 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 ZTEN790closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.3Mobile Phoneyesyes0.026 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 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 2.3.6closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.3.6ZTEN790mobile-browseryescloseclose0.28402 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3ZTEN790smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.6closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.6closeAndroid 2.3.6ZTEN790closeclosecloseclose0 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.6closecloseclosecloseclose0.09 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.3.6closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 533.1Android 2.3.6ZTEN790mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.6closeAndroid 2.3.6ZTEN790Smartphoneyesyescloseclose0.025 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.6ZTEN790closeclosecloseclosecloseclose0 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 08:01:08 | by ThaDafinser