User agent detail

NetFront/4.2 (BMP 1.0.4; U; en-us; LG; NetFront/4.2/AMB) Boost LG272 MMP/2.0 Profile/MIDP-2.1 Configuration/CLDC-1.1

Detected by 6 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
NetFront 4.2NetFront Mobile Deviceyes Detail
DonatjUAParser
v0.5.0
NetFront 4.2closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
NetFront 4.2NetFront Brew 1.0LG272smartphoneyes Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 4.2closeBrew MP 1.0.4closeclosecloseclose Detail
WhichBrowser
2.0.9
NetFront 4.2 Brew MP 1.0.4LGRumor Reflexmobile:featureyescloseclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.2close LGLG272Feature Phoneyescloseclose 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 2016-01-26 16:40:40 | by ThaDafinser