User agent detail

YUANDA50_12864_11B_HW (MRE\2.5.00(800) resolution\320480 chipset\MT6250 touch\1 tpannel\1 camera\1 gsensor\0 keyboard\reduced) C529AH_JY_539_W1.11B.V2.2 Release/2012.09.26 WAP Browser/MAUI (HTTP PGDL; HTTPS) Profile/ Q03C1-2.40 fr-FR
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-378.php
MAUI Wap Browser 0.0JAVA unknownunknown unknowngeneral Mobile PhoneMobile Phoneyes Detail
Providers
BrowscapPhp
6012
MAUI Wap Browser JAVA Mobile Phoneyes0.10101 Detail
DonatjUAParser
v0.5.0
YUANDA50 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 3closeMRE mobile-browseryescloseclose0.21102 Detail
PiwikDeviceDetector
3.5.2
No result found
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close closeclosecloseclose0.007 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
MAUI based WAP Browsercloseclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
Obigo Q 3C MRE mobile:featureyescloseclose0.02 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
No result found

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 13:26:32 | by ThaDafinser