User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; Karbonn S5i Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.94 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 KarbonnS5iclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.2Mobile Phoneyesyes0.026 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.94closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.94closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome Mobile 28.0.1500.94closeAndroid 4.2.2KarbonnS5imobile-browseryescloseclose0.28302 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 28.0Blink Android 4.2KarbonnS5ismartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.94closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome Mobile 28.0.1500closeAndroid 4.2.2KarbonnS5icloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 28.0.1500.94WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.068 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.94WebKit 537.36Android 4.2.2Karbonn Mobilescloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.94Blink Android 4.2.2KarbonnTitanium S5imobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 28.0.1500.94closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.94closeAndroid 4.2.2KarbonnS5iSmartphoneyesyescloseclose0.019 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.94closeAndroid 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 08:11:50 | by ThaDafinser