User agent detail

LG-AppAdvisor/v2.0.57
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGAppAdvisorclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
LG-AppAdvisor v2.0.57closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close LGAppAdvisormobile-browseryescloseclose0.24201 Detail
PiwikDeviceDetector
3.6.1
LGAppAdvisorsmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close LGAppAdvisorcloseclosecloseclose0.002 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

LGLGAppAdvisorcloseclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
LGAppAdvisormobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
close LGAppAdvisorcloseclosecloseclosecloseclose0 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 07:53:22 | by ThaDafinser