User agent detail

Mozilla/5.0 (iPod touch; CPU iPhone OS 7_0 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) Version/7.0 Mobile/11A465 Safari/9537.53
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Woothee
v1.3.0
vendor/woothee/woothee-testset/testsets/smartphone_ios.yaml
Safari 7.0closeiPod 7.0closeclosesmartphoneclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 7.0WebKit iOS 7.0AppleiPod TouchMobile Deviceyesyes0.039 Detail
BrowscapLite
6014
Safari 7.0closeiOS closecloseMobile Deviceyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Safari 7.0closeiOS closecloseMobile Deviceyesyesclose0.028 Detail
DonatjUAParser
v0.5.1
Safari 7.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 7.0closeiOS 7_0closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Mobile Safari 7.0closeiOS 7.0AppleiPod Touchmedia-playeryescloseclose0.21801 Detail
PiwikDeviceDetector
3.6.1
Mobile Safari 7.0WebKit iOS 7.0AppleiPod Touchportable media playeryes0.004 Detail
SinergiBrowserDetector
6.0.1
Safari 7.0closeiOS 7.0closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Mobile Safari 7.0closeiOS 7.0AppleiPodcloseclosecloseclose0.006 Detail
UserAgentApiCom

Safari 9537.53WebKit 537.51.1closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Safari 7.0closeiPhone OS 7.0closecloseclosecloseclose0.18001 Detail
WhatIsMyBrowserCom

Mobile Safari 7.0WebKit 537.51.1iOS 7.0AppleiPodcloseclosecloseclosecloseclose0.40802 Detail
WhichBrowser
v2.0.18
Safari 7.0Webkit 537.51.1iOS 7.0AppleiPod touchmediayescloseclose0.001 Detail
Woothee
v1.2.0
Safari 7.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari 7.0closeiOS AppleiPod TouchOther Mobileyesyescloseclose0.053 Detail
Zsxsoft
1.3
Safari 7.0closeiOS 7.0AppleiPodcloseclosecloseclosecloseclose0 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 07:53:15 | by ThaDafinser