User agent detail

LG-B2000
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGB2000closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
LG-B2000 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close LGB2000mobile-browseryescloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
LGB2000smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close LGB2000closeclosecloseclose0 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

LGLGB2000closeclosecloseclosecloseclose0.2294 Detail
WhichBrowser
v2.0.18
LGB2000mobile:featureyescloseclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close LGB2000Feature Phoneyescloseclose0.0156 Detail
Zsxsoft
1.3
close LGB2000closeclosecloseclosecloseclose0 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 07:52:29 | by ThaDafinser