User agent detail

T-smart_G18_TD/1.0 Linux/2.6.35 Android/2.3.5 Release/7.16.2012 Mozilla/5.0 (Linux; U; Android 2.2) AppleWebKit/533.1 (KHTML, like Gecko) FlyFlow/2.4 Version/4.0 Mobile Safari/533.1 baidubrowser/061_6.5.4.2_diordna_084_023/trams-T_01_5.3.2_81G-trams-T/71
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-android.yaml
Baidu Browser 2.4Webkit 533.1Android 2.3.5G18mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid T-SmartG18mobile-browseryescloseclose0.27602 Detail
PiwikDeviceDetector
3.6.1
Baidu Browser 061WebKit Android 2.3yes0.008 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Baidu Browser 61closeAndroid 2.3.5closeclosecloseclose0.005 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.2closecloseclosecloseclose0.08701 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.2closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Baidu Browser 2.4Webkit 533.1Android 2.3.5T-smartG18mobile:smartyescloseclose0.005 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.5closeAndroid 2.3.5T-SmartG18Smartphoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
Baidu Browser 061closeAndroid 2.3.5closeclosecloseclosecloseclose0.001 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 08:11:15 | by ThaDafinser