User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; Archos 97 Neon Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.59 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 Archos97 Neonclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 31.0Blink Android 4.2Mobile Phoneyesyes0.1 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 31.0closeAndroid closecloseMobile Phoneyesyesclose0.016 Detail
DonatjUAParser
v0.5.1
Chrome 31.0.1650.59closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 31.0.1650.59closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 31.0.1650.59closeAndroid 4.2.2Archos97 Neondesktop-browsercloseclose0.29802 Detail
PiwikDeviceDetector
3.6.1
Chrome 31.0Blink Android 4.2Archos97 Neontabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 31.0.1650.59closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 31.0.1650closeAndroid 4.2.2Archos97 Neoncloseclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 31.0.1650.59WebKit 537.36closeclosecloseMobileclosecloseclose0.17001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.096 Detail
WhatIsMyBrowserCom

Chrome 31.0.1650.59WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Chrome 31Blink Android 4.2.2Archos97 Neontabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 31.0.1650.59closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 31.0.1650.59closeAndroid 4.2.2Archos97 NeonTabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 31.0.1650.59closeAndroid 4.2.2closeclosecloseclosecloseclose0.001 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 07:59:34 | by ThaDafinser