User agent detail

KDDI-SN39
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/carrier-kddi.yaml
W51Smobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
KDDI-SN39 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close Sony EricssonW51Smobile-browseryescloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
KDDISN39feature phoneyes0 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
Sony EricssonW51Smobile:featureyescloseclose0 Detail
Woothee
v1.2.0
au by KDDI SN39closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.7.1.0
close KDDIW51SFeature Phoneyescloseclose0.0312 Detail
Zsxsoft
1.3
No result found

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 07:51:22 | by ThaDafinser