User agent detail

MOT-QA30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close MotorolaQA30closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
MOT-QA30 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
close closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

close MotorolaQA30mobile-browseryescloseclose0.20401 Detail
PiwikDeviceDetector
3.6.1
MotorolaQA30smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close MotorolaQA30closeclosecloseclose0.004 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
MotorolaQA30mobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
close MotorolaQA30closeclosecloseclosecloseclose0.001 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 08:05:42 | by ThaDafinser