User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; En-US; Celkon A900 Build/GRK39F) AppleWebKit/534.31 (KHTML, Like Gecko) UCBrowser/9.0.2.299 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 CelkonA900closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.0U3 Android 2.3Mobile Phoneyesyes0.11201 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.0closeAndroid closecloseMobile Phoneyesyesclose0.052 Detail
DonatjUAParser
v0.5.1
Android Browser 534.31closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 534.31closeAndroidOS 2.3.6closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

UC Browser 9.0.2.299closeAndroid 2.3.6Celkon A900mobile-browseryescloseclose0.29902 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.0WebKit Android 2.3CelkonA900smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.6closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 9.0.2closeAndroid 2.3.6CelkonA900closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.6closecloseclosecloseclose0.099 Detail
WhatIsMyBrowserCom

UC Browser 9.0.2.299WebKit 534.31Android 2.3.6closeclosecloseclosecloseclose0.40402 Detail
WhichBrowser
v2.0.18
UC Browser 9.0Webkit 534.31Android 2.3.6CelkonA900mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.0.2closeAndroid 2.3.6Feature Phoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
UC Browser 9.0.2.299closeAndroid 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 08:05:22 | by ThaDafinser