User agent detail

Mozilla/5.0 (Linux; U; Linux Ventana; xx; Transformer TF101 Build/HTJ85B) AppleWebKit/534.13 (KHTML, like Gecko) Chrome/8.0 Safari/534.13
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/other/camouflage.yaml
Android Browser Webkit Android 3.2Eee Pad Transformertabletclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 8.0WebKit Linux Desktop0.11401 Detail
BrowscapLite
6014
Chrome closeLinux closecloseDesktopcloseclosecloseclose0.004 Detail
BrowscapPhp
6014
Chrome 8.0closeLinux closecloseDesktopclose0.018 Detail
DonatjUAParser
v0.5.1
Chrome 8.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 8.0closeLinux closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 8.0closeLinux AsusEee Pad Transformerdesktop-browsercloseclose0.27502 Detail
PiwikDeviceDetector
3.6.1
Chrome 8.0WebKit GNU/Linux AsusTransformer TF101tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 8.0closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 8.0closeLinux AsusTransformer TF101closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 8.0WebKit 534.13closeclosecloseDesktopclosecloseclose0.16801 Detail
UserAgentStringCom

Chrome 8.0closeLinux closecloseclosecloseclose0.066 Detail
WhatIsMyBrowserCom

Chrome 8.0WebKit 534.13Linux AsusAsus Transformer Pad TF101closeclosecloseclosecloseclose0.24501 Detail
WhichBrowser
v2.0.18
Android Browser Dev Webkit Android 3.2AsusEee Pad Transformertabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 8.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 8.0closeLinux Feature Phoneyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 8.0closeGNU/Linux closeclosecloseclosecloseclose0.001 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 08:02:43 | by ThaDafinser