User agent detail

Mozilla/4.0 (Brew MP 1.0.4; U; xx; Kyocera; NetFront/4.1/AMB) Sprint S2151-PLB
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-brew.yaml
NetFront 4.1 Brew MP 1.0.4Coast S2151mobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFront 4.1NetFront Mobile Deviceyes0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
NetFront 4.1close closecloseMobile Deviceyesclose0.0156 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla closeBREWOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

NetFront 4.1close KyoceraS2151mobile-browseryescloseclose0.1872 Detail
PiwikDeviceDetector
3.6.1
NetFront 4.1NetFront Brew 1.0KyoceraCoastfeature phoneyes0 Detail
SinergiBrowserDetector
6.0.1
Mozilla 4.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront 4.1closeBrew MP 1.0.4SprintS2151-PLBcloseclosecloseclose0 Detail
UserAgentApiCom

No result found
UserAgentStringCom

NetFront 4.1close closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

NetFront closeclosecloseclosecloseclose0.2652 Detail
WhichBrowser
v2.0.18
NetFront 4.1 Brew MP 1.0.4KyoceraCoast S2151mobile:featureyescloseclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
NetFront 4.1close KyoceraS2151Feature Phoneyescloseclose0.0156 Detail
Zsxsoft
1.3
NetFront 4.1close closeclosecloseclosecloseclose0 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 07:51:36 | by ThaDafinser