User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.1; en-us; iris pro 30 Build/JOP40D) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LavaIris pro 30closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.2Mobile Phoneyesyes0.042 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.02 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.2.1closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.2.1LavaIris Pro 30mobile-browseryescloseclose0.27102 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.2LavaIris pro 30smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.2.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 4.2.1closeAndroid 4.2.1LavaIris pro 30closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Iris closeAndroid 4.2.1closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 4.2.1closeclosecloseclosecloseclose0.26801 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.2.1LavaIris Pro 30mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.2.1closeAndroid 4.2.1LavaIris Pro 30Smartphoneyesyescloseclose0.025 Detail
Zsxsoft
1.3
Iris procloseAndroid 4.2.1closeclosecloseclosecloseclose0 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 08:04:33 | by ThaDafinser