User agent detail

Mozilla/5.0 (Linux; U; Android 2.2.1; cs-cz; Vodafone 858 Build/Vodafone858C02B620) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
HuaweiVodafone 858 Detail
Providers
BrowscapPhp
6012
Android 4.0WebKit Android 2.2HuaweiVodafone 858Tabletyesyes0.017 Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Webkit 4.0closeAndroid 2.2.1HuaweiVodafone 858mobile-browseryescloseclose0.26403 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android 2.2Vodafone858smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 2.2.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.2.1closeAndroid 2.2.1HuaweiVodafone 858closeclosecloseclose0.004 Detail
UserAgentStringCom
Android Webkit Browser closeAndroid 2.2.1closecloseclosecloseclose0.14301 Detail
WhatIsMyBrowserCom
Android Browser 4.0WebKit 533.1Android 2.2.1closeclosecloseclosecloseclose0.75908 Detail
WhichBrowser
2.0.10
Android Browser Webkit 533.1Android 2.2.1Vodafone858 Smartmobile:smartyescloseclose0.038 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android Webkit 2.2closeAndroid 2.2HuaweiVodafone 858Feature Phoneyesyescloseclose0.05301 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 13:33:51 | by ThaDafinser