User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; PAD 9719QR Build/PAD 9719QR) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.72 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 XoroPAD 9719QRclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 29.0Blink Android 4.2Mobile Phoneyesyes0.017 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 29.0closeAndroid closecloseMobile Phoneyesyesclose0.015 Detail
DonatjUAParser
v0.5.1
Chrome 29.0.1547.72closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 29.0.1547.72closeAndroidOS 4.2.2closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Chrome 29.0.1547.72closeAndroid 4.2.2PAD 9719QRdesktop-browsercloseclose0.30402 Detail
PiwikDeviceDetector
3.6.1
Chrome 29.0Blink Android 4.2tabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 29.0.1547.72closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 29.0.1547closeAndroid 4.2.2XoroPAD 9719QRcloseclosecloseclose0.005 Detail
UserAgentApiCom

Chrome 29.0.1547.72WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.086 Detail
WhatIsMyBrowserCom

Chrome 29.0.1547.72WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Chrome 29Blink Android 4.2.2PAD 9719QRtabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 29.0.1547.72closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 29.0.1547.72closeAndroid 4.2.2Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 29.0.1547.72closeAndroid 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 08:06:30 | by ThaDafinser