User agent detail

MOT-V9mm
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close MotorolaV9mmclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
MOT-V9mm closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
close closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

close MotorolaV9mmmobile-browseryescloseclose0.20901 Detail
PiwikDeviceDetector
3.6.1
MotorolaV9mmsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close MotorolaV9mmcloseclosecloseclose0.006 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Opera Mini MotorolaMotorola V9mmcloseclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
MotorolaV9mmmobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
close MotorolaV9mmcloseclosecloseclosecloseclose0 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 2016-05-10 07:57:28 | by ThaDafinser