User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; en-US; Iris 349+ Build/MocorDroid2.3.5) AppleWebKit/534.31 (KHTML, like Gecko) UCBrowser/9.0.1.275 U3/0.8.0 Mobile Safari/534.31
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LavaIris 349+closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.0U3 Android 2.3Mobile Phoneyesyes0.048 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.0closeAndroid closecloseMobile Phoneyesyesclose0.032 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 2.3.6closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

UC Browser 9.0.1.275closeAndroid 2.3.6LavaIris 349+mobile-browseryescloseclose0.31802 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.0WebKit MocorDroid 2.3LavaIris 349+smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.6closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 9.0.1closeAndroid 2.3.6LavaIris 349+closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Iris 349closeAndroid 2.3.6closecloseclosecloseclose0.083 Detail
WhatIsMyBrowserCom

UC Browser 9.0.1.275WebKit 534.31Android 2.3.6closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
UC Browser 9.0Webkit 534.31Android 2.3.6LavaIris 349+mobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.0.1closeAndroid 2.3.6LavaIris 349+Smartphoneyesyescloseclose0.022 Detail
Zsxsoft
1.3
Iris 349closeAndroid 2.3.6closeclosecloseclosecloseclose0 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 07:54:14 | by ThaDafinser