User agent detail

Motorola-V3m Obigo/Q04C1 MMP/2.0 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
MotorolaV3m Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
Motorola-V3m closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM MotorolaRAZR V3mmobile-browseryescloseclose0.185 Detail
PiwikDeviceDetector
3.5.2
Obigo Q04C1 MotorolaV3msmartphoneyes0.013 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 4.1close MotorolaV3mcloseclosecloseclose0.007 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo Q04C1 Browser Q04C1 closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
Obigo Q 4C MotorolaV3Mmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q04C1close MotorolaRAZR V3mFeature Phoneyescloseclose0.034 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 13:39:14 | by ThaDafinser