User agent detail

Mozilla/4.0 (Brew MP 1.0.2; U; en-us; Kyocera; NetFront/4.1/AMB) Sprint E4233
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SprintE4233 Detail
Providers
BrowscapPhp
6012
NetFront 4.1NetFront Mobile Deviceyes0.022 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 4.1close KyoceraE4255mobile-browseryescloseclose0.19002 Detail
PiwikDeviceDetector
3.5.2
NetFront 4.1NetFront Brew 1.0KyoceraA656smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront 4.1closeBrew MP 1.0.2SprintE4233closeclosecloseclose0.005 Detail
UserAgentStringCom
NetFront 4.1close closecloseclosecloseclose0.05 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40104 Detail
WhichBrowser
2.0.10
NetFront 4.1 Brew MP 1.0.2KyoceraE4233mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.1close KyoceraE4255Feature Phoneyescloseclose0.028 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 2016-02-13 13:31:12 | by ThaDafinser