User agent detail

AVGINET14-WV7HX64 140 AVI=3705/7100 BUILD=4335 MSI=4335 LOC=1049 LIC=IMOTO-ZW9P3-WW6ZZ-QYKI3-VTGYI-9 DIAG=4D041F18 OPF=0 PCA= EVA=2 EDA=20140121083719 BRD=avgcom-0-0 BRH=avgcom
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
MotorolaZW9P3 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
AVGINET14-WV7HX64 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
close Motorola-ZW9P3-WW6ZZ-QYKI3-VTGYI-9 DIAG=4D041F18 OPF=0 PCA= EVA=2 EDA=20140121083719 BRD=avgcom-0-0 BRH=avgcommobile-browseryescloseclose0.222 Detail
PiwikDeviceDetector
3.5.2
No result found
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close MotorolaZW9P3closeclosecloseclose0.009 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
No result found
WhichBrowser
2.0.10
Motorola-ZW9P3-WW6ZZ-QYKI3-VTGYI-9 DIAG=4D041F18 OPF=0 PCA= EVA=2 EDA=20140121083719 BRD=avgcom-0-0 BRH=avgcommobile:featureyescloseclose0.022 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
No result found

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 13:29:21 | by ThaDafinser