User agent detail

Mozilla/4.0 (compatible; SonyEricssonJ20/R7BA Browser/NetFront/3.5 Profile/MIDP-2.1 Configuration/CLDC-1.1)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonJ20 Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.022 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.5closeJVM SonyEricssonJ20mobile-browseryescloseclose0.19212 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Sony EricssonHazelfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.002 Detail
UAParser
v3.4.5
NetFront 3.5close SonyEricssonJ20closeclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.5 Profileclose closecloseclosecloseclose0.06804 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson J20closeclosecloseclosecloseclose0.43526 Detail
WhichBrowser
2.0.10
NetFront 3.5 Sony EricssonHazelmobile:featureyescloseclose0.008 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close SonyEricssonJ20Feature Phoneyescloseclose0.024 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 13:37:16 | by ThaDafinser