User agent detail

MOT-W231/0.0.41 UP.Browser/6.3.0.6.c.22 (GUI) MMP/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close MotorolaW231closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Openwave Mobile Browser 6.3 Mobile Phoneyes0.014 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Openwave Mobile Browser 6.3close closecloseMobile Phoneyesclose0.034 Detail
DonatjUAParser
v0.5.1
MOT-W231 0.0.41closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
close closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Openwave Mobile Browser 6.3.0.6.c.22close MotorolaW231mobile-browseryescloseclose0.21001 Detail
PiwikDeviceDetector
3.6.1
Openwave Mobile Browser 6.3 MotorolaW231smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
UP.Browser 6.3.0close MotorolaW231closeclosecloseclose0.003 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Openwave Mobile Browser 6.3.0.6.c.22 closeclosecloseclosecloseclose0.24801 Detail
WhichBrowser
v2.0.18
Openwave 6.3 MotorolaW231mobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close MotorolaW231Feature Phoneyescloseclose0.023 Detail
Zsxsoft
1.3
Openwave Mobile Browser 6.3.0.6.c.22close MotorolaW231closeclosecloseclosecloseclose0 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 07:59:46 | by ThaDafinser