User agent detail

SonyEricssonNEXTEL/R1GA Profile/MIDP-2.1 Configuration/CLDC-1.1 UNTRUSTED/1.0 sonyericssonnextel
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonNEXTEL Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
SonyEricssonNEXTEL R1GAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
close Sony EricssonNEXTELmobile-browseryescloseclose0.19702 Detail
PiwikDeviceDetector
3.5.2
Sony EricssonNEXTELsmartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close SonyEricssonNEXTELcloseclosecloseclose0.068 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Sony EricssonSony Ericsson NEXTELcloseclosecloseclosecloseclose0.41004 Detail
WhichBrowser
2.0.10
Sony EricssonNEXTELmobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.018 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 13:29:12 | by ThaDafinser