User agent detail

Mozilla/3.0(WILLCOM;TOSHIBA/WX320T/2;1/1/C128) NetFront/3.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/carrier-willcom.yaml
NetFront 3.4 ToshibaWX320Tmobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.022 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.4close ToshibaWX320Tmobile-browseryescloseclose0.198 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront ToshibaWX320Tsmartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
Mozilla 3.0(WILLCOM;TOSHIBA/WX320T/2;1/1/C128)close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close closeclosecloseclose0.013 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.06 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.413 Detail
WhichBrowser
2.0.10
NetFront 3.4 ToshibaWX320Tmobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
WILLCOM WX320Tcloseclosecloseclosemobilephoneclosecloseclose0.001 Detail
Wurfl
1.6.4
NetFront 3.4close ToshibaWX320TFeature Phoneyescloseclose0.016 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 2016-02-13 13:41:03 | by ThaDafinser