User agent detail

MOT-stepLer/08.BD.B3R MIB/2.2.1 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
MotorolastepLer Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
MOT-stepLer 08.BD.B3Rcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Motorola Internet Browser 2.2.1close MotorolaV3rmobile-browseryescloseclose0.19402 Detail
PiwikDeviceDetector
3.5.2
MotorolastepLersmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close MotorolastepLercloseclosecloseclose0.007 Detail
UserAgentStringCom
MIB 2.2.1close closecloseclosecloseclose0.12101 Detail
WhatIsMyBrowserCom
No result found
WhichBrowser
2.0.10
Motorola Internet Browser 2.2.1 MotorolastepLermobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close MotorolaV3rFeature Phoneyescloseclose0.025 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 13:31:19 | by ThaDafinser