User agent detail

Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.10 Safari/537.36 OPR/27.0.1689.22 (Edition developer)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-523.php
Opera 27.0Blink unknownLinux unknownunknownLinux DesktopDesktop0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Opera 27.0.1689close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 27.0Blink Linux Desktop0.0156 Detail
BrowscapLite
6014
Opera 27.0closeLinux closecloseDesktopcloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Opera 27.0closeLinux closecloseDesktopclose0.0156 Detail
DonatjUAParser
v0.5.1
Opera Next 27.0.1689.22closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 27.0.1689.22closeLinux closecloseclosecloseclose0 Detail
NeutrinoApiCom

Opera 27.0.1689.22closeLinux desktop-browsercloseclose0.2184 Detail
PiwikDeviceDetector
3.6.1
Opera 27.0Blink GNU/Linux desktop0.0156 Detail
SinergiBrowserDetector
6.0.1
Opera 27.0.1689.22closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 27.0.1689closeLinux closeclosecloseclose0.0156 Detail
UserAgentApiCom

Opera 27.0.1689.22WebKit 537.36closeclosecloseDesktopclosecloseclose0.156 Detail
UserAgentStringCom

Chrome 40.0.2214.10closeLinux closecloseclosecloseclose0.1092 Detail
WhatIsMyBrowserCom

Opera 27.0.1689.22WebKit 537.36Linux closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Opera Developer 27.0Blink Linux desktopcloseclose0 Detail
Woothee
v1.2.0
Opera 27.0.1689.22closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 27.0.1689.22closeLinux x86_64 Desktopcloseclose0.0312 Detail
Zsxsoft
1.3
Opera Developer 27.0.1689.22closeGNU/Linux closeclosecloseclosecloseclose0 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 07:50:37 | by ThaDafinser