User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; ZP990+ Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.136 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ZopoZP990+closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 33.0Blink Android 4.2Mobile Phoneyesyes0.078 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Chrome 33.0closeAndroid closecloseMobile Phoneyesyesclose0.0468 Detail
DonatjUAParser
v0.5.1
Chrome 33.0.1750.136closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 33.0.1750.136closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome Mobile 33.0.1750.136closeAndroid 4.2.2ZOPOZP990+mobile-browseryescloseclose0.3744 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 33.0Blink Android 4.2ZopoZP990+smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 33.0.1750.136closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 33.0.1750closeAndroid 4.2.2ZopoZP990+closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 33.0.1750.136WebKit 537.36closeclosecloseMobileclosecloseclose0.1892 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Chrome 33.0.1750.136WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.3588 Detail
WhichBrowser
v2.0.18
Chrome 33Blink Android 4.2.2ZopoZP990+mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Chrome 33.0.1750.136closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 33.0.1750.136closeAndroid 4.2.2ZOPOZP990+Smartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 33.0.1750.136closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 07:50:36 | by ThaDafinser