User agent detail

BenQ P30/R101 Profile/MIDP-2.0 Configuration/CLDC-1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-symbian.yaml
UIQ P30mobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
BenQ closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeJavaOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

closeUIQ BenQP30mobile-browseryescloseclose0.20901 Detail
PiwikDeviceDetector
3.6.1
BenQP30feature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
UIQ BenQP30mobile:featureyescloseclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Java Applet close BenQP30Feature Phoneyescloseclose0.036 Detail
Zsxsoft
1.3
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 2016-05-10 08:03:33 | by ThaDafinser