User agent detail

LG9700/1.1 TELECA/Q7.0-1.3 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 LG9700closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Obigo Q 7.0 JAVA Mobile Phoneyes0.013 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Obigo Q 7.0closeJAVA closecloseMobile Phoneyesclose0.033 Detail
DonatjUAParser
v0.5.1
LG9700 1.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
close closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
Obigo LG9700smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close LG9700closeclosecloseclose0.001 Detail
UserAgentApiCom

No result found
UserAgentStringCom

Teleca-Obigo close closecloseclosecloseclose0.068 Detail
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
Obigo Q 7.0 LG9700mobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close LGLG9700Feature Phoneyescloseclose0.021 Detail
Zsxsoft
1.3
Teleca Q7.0close LGcloseclosecloseclosecloseclose0.001 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 08:09:40 | by ThaDafinser