User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; en-US; ASUS Pad ME370T Build/GINGERBREAD) AppleWebKit/534.31 (KHTML, like Gecko) UCBrowser/9.2.0.308 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 AsusPad ME370Tclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 9.2U3 Android 2.3Mobile Phoneyesyes0.025 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
UC Browser 9.2closeAndroid closecloseMobile Phoneyesyesclose0.029 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 9.2.0.308closeAndroid 2.3.6ASUS Pad ME370Tmobile-browseryescloseclose0.29802 Detail
PiwikDeviceDetector
3.6.1
UC Browser 9.2WebKit Android 2.3Asussmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.3.6closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 9.2.0closeAndroid 2.3.6AsusPad ME370Tcloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.31WebKit 534.31closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.6closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

UC Browser 9.2.0.308WebKit 534.31Android 2.3.6closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
UC Browser 9.2Webkit 534.31Android 2.3.6ASUS Pad ME370Tmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 9.2.0closeAndroid 2.3.6Feature Phoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
UC Browser 9.2.0.308closeAndroid 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 08:00:47 | by ThaDafinser