User agent detail

Mozilla/5.0 (PDA; NF41WMPRO/1.0; like Gecko) NetFront/4.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/pda/generic.yaml
NetFront 4.1 Windows Mobile pdaclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFront 4.1NetFront Mobile Deviceyes0.015 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
NetFront 4.1close closecloseMobile Deviceyesclose0.033 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla close closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

NetFront 4.1close VodafoneVPA Compact IVmobile-browseryescloseclose0.20201 Detail
PiwikDeviceDetector
3.6.1
NetFront 4.1NetFront 0.004 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 4.1close closeclosecloseclose0.002 Detail
UserAgentApiCom

No result found
UserAgentStringCom

Mozilla close closecloseclosecloseclose0.15901 Detail
WhatIsMyBrowserCom

NetFront closeclosecloseclosecloseclose0.24701 Detail
WhichBrowser
v2.0.18
NetFront 4.1 Windows Mobile pdacloseclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
NetFront 4.1close Feature Phoneyescloseclose0.017 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 08:10:40 | by ThaDafinser