User agent detail

Mozilla/5.0 (SMART-TV; X11; Linux armv7l) AppleWebkit/537.42 (KHTML, like Gecko) Chromium/25.0.1349.2 Chrome/25.0.1349.2 Safari/537.42
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-437.php
Chromium 25.0WebKit unknownLinux unknownSamsungSmart TVTV Device0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/samsung.yaml
Webkit 537.42 televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chromium 25.0WebKit Linux SamsungSmart TVTV Device0.045 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chromium 25.0closeLinux closecloseTV Deviceclose0.033 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1349.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1349.2closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Chromium 25.0.1349.2closeLinux media-playercloseclose0.20501 Detail
PiwikDeviceDetector
3.6.1
Chromium 25.0WebKit GNU/Linux SamsungSmart TVtv0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1349.2closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Chromium 25.0.1349closeLinux closeclosecloseclose0.005 Detail
UserAgentApiCom

Chrome 25.0.1349.2WebKit 537.42closeclosecloseDesktopclosecloseclose0.15301 Detail
UserAgentStringCom

Chrome 25.0.1349.2closeLinux closecloseclosecloseclose0.22001 Detail
WhatIsMyBrowserCom

Chromium 25.0.1349.2WebKit 537.42 closeclosecloseclosecloseclose0.33102 Detail
WhichBrowser
v2.0.18
Webkit 537.42 SamsungSmart TVtelevisioncloseclose0.002 Detail
Woothee
v1.2.0
Chrome 25.0.1349.2closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1349.2closeSMART SmartTVSmart-TVcloseclose0.019 Detail
Zsxsoft
1.3
Chromium 25.0.1349.2closeGNU/Linux Samsung Smart TVcloseclosecloseclosecloseclose0 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 08:08:44 | by ThaDafinser