User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; Iris356 Build/irisIRIS356) AppleWebKit/537.36 (KHTML, Like Gecko) Chrome/30.0.1599.82 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 LavaIris 356closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 30.0Blink Android 4.2Mobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Chrome 30.0closeAndroid closecloseMobile Phoneyesyesclose0 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.82closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.82closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome Mobile 30.0.1599.82closeAndroid 4.2.2LavaIris 356mobile-browseryescloseclose0.2808 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 30.0Blink Android 4.2LavaIris 356smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.82closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 30.0.1599closeAndroid 4.2.2LavaIris 356closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 30.0.1599.82WebKit 537.36closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Iris 356closeAndroid 4.2.2closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Chrome 30.0.1599.82WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Chrome 30Blink Android 4.2.2LavaIris 356mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Chrome 30.0.1599.82closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.82closeAndroid 4.2.2Smartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Iris 356closeAndroid 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 07:51:13 | by ThaDafinser