User agent detail

SIE-SF65v2 ObigoInternetBrowser/Q03C
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SiemensSF65v2 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 3.0 JAVA Mobile Phoneyes0.02901 Detail
DonatjUAParser
v0.5.0
SIE-SF65v2 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM SiemensSF65v2mobile-browseryescloseclose0.183 Detail
PiwikDeviceDetector
3.5.2
Obigo Q03C SiemensSF65v2smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo close SiemensSF65v2closeclosecloseclose0.003 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo Browser closeclosecloseclosecloseclose0.409 Detail
WhichBrowser
2.0.10
Obigo Q 3C SiemensSF65mobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q03Cclose SiemensSF65v2Feature Phoneyescloseclose0.02901 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 13:41:23 | by ThaDafinser