User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.5; zh-cn; YL-Coolpad_7260A Build/GRJ90) AppleWebKit/533.1 (KHTML, like Gecko) FlyFlow/2.1 Version/4.0 Mobile Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close CoolpadYL-7260Aclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
FlyFlow WebKit Android 2.3Mobile Phoneyesyes0.027 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
FlyFlow closeAndroid closecloseMobile Phoneyesyesclose0.022 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.3.5closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.3.5Coolpad7260Amobile-browseryescloseclose0.27102 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3Coolpad7260Asmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.5closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Baidu Explorer 2.1closeAndroid 2.3.5CoolpadYL-7260Acloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.5closecloseclosecloseclose0.08401 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.3.5closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Baidu Browser 2.1Webkit 533.1Android 2.3.5Coolpad7260mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.5closeAndroid 2.3.5Coolpad7260ASmartphoneyesyescloseclose0.023 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.5CoolPad7260Acloseclosecloseclosecloseclose0 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 07:57:07 | by ThaDafinser