User agent detail

Mozilla/5.0 (Linux; U; Android 1.6; zh-cn; qsd8250_surf Build/Donut) AppleWebKit/528.5+ (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1 Lenovo-3GW100/1.0.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close Lenovo3GW100closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android 1.6Mobile Phoneyesyes0.0624 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.0468 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 1.6closeclosecloseyescloseclose0.0156 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 1.6LenovoLePhone 3GW100mobile-browseryescloseclose0.2808 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.6Lenovo3GW100smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 1.6closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.6closeAndroid 1.6Lenovo3GW100closeclosecloseclose0.0156 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.1404 Detail
UserAgentStringCom

Surf closeAndroid 1.6closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

Android Browser 3.1.2WebKit 528.5Android 1.6closeclosecloseclosecloseclose0.2496 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 528.5Android 1.6qsd8250_surfmobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.6closeAndroid 1.6qsd8250_surfFeature Phoneyesyescloseclose0.0312 Detail
Zsxsoft
1.3
Surf closeAndroid 1.6Lenovo3GW100closeclosecloseclosecloseclose0 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 07:51:28 | by ThaDafinser