User agent detail

ZTE-F102 H3G/1.0 ACS-NF/3.4 QTV5.1 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/browser-netfront.yaml
NetFront 3.4 F102mobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
ZTE-F102 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeJavaOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

NetFront 3.4close ZTEF102mobile-browseryescloseclose0.22201 Detail
PiwikDeviceDetector
3.6.1
ZTEF102 H3Gsmartphoneyes0.014 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

ZTE F102closeclosecloseclosecloseclose0.25401 Detail
WhichBrowser
v2.0.18
NetFront 3.4 ZTEF102mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Java Applet close ZTEF102Feature Phoneyescloseclose0.029 Detail
Zsxsoft
1.3
close ZTEF102closeclosecloseclosecloseclose0 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 08:07:24 | by ThaDafinser