User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; ODYS-EVO Build/ODYS-EVO) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.58 Safari/537.31
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close OdysEVOclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 26.0WebKit Android 4.0OdysEvoTabletyesyes0.07901 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Chrome 26.0closeAndroid closecloseMobile Phoneyesyesclose0.055 Detail
DonatjUAParser
v0.5.1
Chrome 26.0.1410.58closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 26.0.1410.58closeAndroidOS 4.0.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 26.0.1410.58closeAndroid 4.0.3ODYS-EVOdesktop-browsercloseclose0.30502 Detail
PiwikDeviceDetector
3.6.1
Chrome 26.0WebKit Android 4.0tabletyes0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 26.0.1410.58closeAndroid 4.0.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 26.0.1410closeAndroid 4.0.3OdysEVOcloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 26.0.1410.58WebKit 537.31closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.072 Detail
WhatIsMyBrowserCom

Chrome 26.0.1410.58WebKit 537.31Android 4.0.3closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Chrome Dev 26.0.1410.58Webkit 537.31Android 4.0.3OdysEvotabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 26.0.1410.58closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 26.0.1410.58closeAndroid 4.0.3OdysEvoTabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 26.0.1410.58closeAndroid 4.0.3closeclosecloseclosecloseclose0 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 08:09:27 | by ThaDafinser