User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.3; en-us; HTC Evo 3D X515m Build/IML74K) AppleWebKit/535.7 (KHTML, like Gecko) CrMo/16.0.912.77 Mobile Safari/535.7
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close HTCEvo 3D X515mclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 16.0WebKit Android 4.0Mobile Phoneyesyes0.0312 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 16.0closeAndroid closecloseMobile Phoneyesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Android Browser 535.7closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 16.0.912.77closeAndroidOS 4.0.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome Mobile 16.0.912.77closeAndroid 4.0.3HTCPC36100mobile-browseryescloseclose0.2652 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 16.0WebKit Android 4.0HTCEvo 3D X515msmartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 4.0.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 16.0.912closeAndroid 4.0.3HTCEvo 3D X515mcloseclosecloseclose0 Detail
UserAgentApiCom

Safari 535.7WebKit 535.7closeclosecloseMobileclosecloseclose0.1404 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Chrome 16.0.912.77WebKit 535.7Android 4.0.3closeclosecloseclosecloseclose0.238 Detail
WhichBrowser
v2.0.18
Chrome Beta 16.0.912.77Webkit 535.7Android 4.0.3HTCEVO 3Dmobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Chrome 16.0.912.77closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android 4.0.3closeAndroid 4.0.3Smartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Chrome Mobile 16.0.912.77closeAndroid 4.0.3HTCEvocloseclosecloseclosecloseclose0 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 07:51:04 | by ThaDafinser