User agent detail

Mozilla/5.0 (LGE-UN200/1.0 Profile/MIDP-2.2 Configuration/CLDC-1.1 MMP/2.0 Novarra-Vision/8.0) Gecko/20100401 1web Novarra-Vision/8.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGUN200 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Novarra Vision 8.0close LGUN200mobile-browseryescloseclose0.19702 Detail
PiwikDeviceDetector
3.5.2
LGUN200smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
close LGUN200closeclosecloseclose0.007 Detail
UserAgentStringCom
Mozilla close closecloseclosecloseclose0.04901 Detail
WhatIsMyBrowserCom
Vision Mobile Browser 8.0Gecko 20100401 closeclosecloseclosecloseclose0.41004 Detail
WhichBrowser
2.0.10
Novarra Vision 8.0Gecko LGUN200mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close yescloseclose0.035 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 2016-02-13 13:32:06 | by ThaDafinser