User agent detail

NightstandPaid-iPad/1.3.1 CFNetwork/548.1.4 Darwin/11.0.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_os.yaml
closeiOS 5.1closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
CFNetwork WebKit iOS 5.1AppleMobile Deviceyesyes0.028 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseTabletyescloseclosecloseclose0.058 Detail
BrowscapPhp
6014
CFNetwork closeDarwin closecloseDesktopclose0.07 Detail
DonatjUAParser
v0.5.1
NightstandPaid-iPad 1.3.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeiOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

closeiOS 5.1AppleiPadmobile-browseryescloseclose0.25302 Detail
PiwikDeviceDetector
3.6.1
iOS 5.1yes0.006 Detail
SinergiBrowserDetector
6.0.1
close closeiPadcloseclosecloseclose0.001 Detail
UAParser
v3.4.5
CFNetwork 548.1.4closeiOS 5.1Applecloseclosecloseclose0.002 Detail
UserAgentApiCom

closeclosecloseTabletclosecloseclose0.15001 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

iOS AppleiPadcloseclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
iOS 5.1AppleiPadmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari closeiOS AppleiPadTabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
closeMac OS Darwin AppleiPadcloseclosecloseclosecloseclose0 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 07:54:36 | by ThaDafinser