User agent detail

Mozilla/4.0 (Vodafone/1.0/LG-KB770/v10a Browser/Teleca-Q7.1 MMS/LG-MMS-V1.0/1.2 Java/ASVM/1.1 Profile/MIDP-2.1 Configuration/CLDC-1.1)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGKB770closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Obigo Q 7.0 JAVA Mobile Phoneyes0.034 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Obigo Q 7.0closeJAVA closecloseMobile Phoneyesclose0.041 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla closeJavaOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Obigo closeJVM LGKB770mobile-browseryescloseclose0.21201 Detail
PiwikDeviceDetector
3.6.1
Obigo LGKB770smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Teleca Browser close LGKB770closeclosecloseclose0.002 Detail
UserAgentApiCom

Mozilla 4.0 closeclosecloseMobileclosecloseclose0.15601 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

4.0 LGLGKB770closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Obigo Q 7.1 LGKB770mobile:featureyescloseclose0.007 Detail
Woothee
v1.2.0
SoftBank Mobile LG-KB770closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Java Applet close LGKB770Feature Phoneyesyescloseclose0.025 Detail
Zsxsoft
1.3
Teleca close LGKB770closeclosecloseclosecloseclose0 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 07:56:53 | by ThaDafinser