User agent detail

Mozilla/5.0 (Linux; U; Android 1.5; En-us; ME600 Build/CUPCAKE) AppleWebKit/528.5+ (KHTML, Like Gecko) Version/3.1.2 Mobile Safari/525.20.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close MotorolaME600closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android 1.5Mobile Phoneyesyes0.035 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.018 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.072 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 1.5closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 1.5MotorolaBACKFLIPmobile-browseryescloseclose0.27702 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.5MotorolaME600smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 1.5closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 1.5closeAndroid 1.5MotorolaME600closeclosecloseclose0.003 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 1.5closecloseclosecloseclose0.064 Detail
WhatIsMyBrowserCom

Android Browser 3.1.2WebKit 528.5Android 1.5closeclosecloseclosecloseclose0.25201 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 528.5Android 1.5MotorolaBACKFLIPmobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.5closeAndroid 1.5Feature Phoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Android Webkit 3.1.2closeAndroid 1.5closeclosecloseclosecloseclose0 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 07:56:57 | by ThaDafinser