User agent detail

Mozilla/5.0 (Linux; U; Android 2.2.2; en-US; Mi280 Build/FRG83G) AppleWebKit/528.5+ (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1 UCBrowser/8.7.0.315 Mobile
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SpiceMi280closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 8.7WebKit Android 2.2Mobile Phoneyesyes0.055 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.02 Detail
BrowscapPhp
6014
UC Browser 8.7closeAndroid closecloseMobile Phoneyesyesclose0.051 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 2.2.2closeclosecloseyescloseclose0.004 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 2.2.2Mi280mobile-browseryescloseclose0.31702 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.7WebKit Android 2.2yes0.009 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 2.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 8.7.0closeAndroid 2.2.2SpiceMi280closeclosecloseclose0.007 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.2.2closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom

UC Browser 8.7.0.315WebKit 528.5Android 2.2.2closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
UC Browser 8.7Webkit 528.5Android 2.2.2Mi280mobile:smartyescloseclose0.005 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 8.7.0closeAndroid 2.2.2Feature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
UC Browser 8.7.0.315closeAndroid 2.2.2closeclosecloseclosecloseclose0 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 08:05:48 | by ThaDafinser