User agent detail

Mozilla/5.0 (Linux; U; Android 2.2.2; en-us ; ZTE_U N720 Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1/UCBrowser/8.4.1.204/145/352
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ZTEU N720closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 8.4WebKit Android 2.2Mobile Phoneyesyes0.10101 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
UC Browser 8.4closeAndroid closecloseMobile Phoneyesyesclose0.034 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.2.2closeclosecloseyescloseclose0.006 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.2.2ZTEN720mobile-browseryescloseclose0.28802 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.4WebKit Android 2.2ZTEUsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.4.1closeAndroid 2.2.2ZTEU N720closeclosecloseclose0.003 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.16401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.2.2closecloseclosecloseclose0.079 Detail
WhatIsMyBrowserCom

UC Browser 8.4.1.204WebKit 533.1Android 2.2.2closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
UC Browser 8.4Webkit 533.1Android 2.2.2ZTEN720mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
UC Browser 8.4.1closeAndroid 2.2.2Feature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
UC Browser 8.4.1.204closeAndroid 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 07:59:47 | by ThaDafinser