User agent detail

Mozilla/5.0 (Linux; Android 5.0.1; ASUS ZenWatch Build/LWX48S) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/19.77.34.5 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/watch/os-android-wear.yaml
Wear Internet Browser Webkit 537.36Android Wear ZenWatchwatchclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome WebKit Android 5.0Mobile Phoneyesyes0.024 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome closeAndroid closecloseMobile Phoneyesyesclose0.034 Detail
DonatjUAParser
v0.5.1
Chrome 19.77.34.5closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 19.77.34.5closeAndroidOS 5.0.1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome Mobile 19.77.34.5closeAndroid 5.0.1mobile-browseryescloseclose0.27602 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 19.77WebKit Android 5.0Asussmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 19.77.34.5closeAndroid 5.0.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 19.77.34closeAndroid 5.0.1AsusZenWatchcloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 19.77.34.5WebKit 537.36closeclosecloseMobileclosecloseclose0.17501 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 5.0.1closecloseclosecloseclose0.062 Detail
WhatIsMyBrowserCom

Chrome 19.77.34.5WebKit 537.36Android 5.0.1closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Wear Internet Browser Webkit 537.36Android Wear AsusZenWatchwatchyescloseclose0 Detail
Woothee
v1.2.0
Chrome 19.77.34.5closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 19.77.34.5closeAndroid 5.0.1Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 19.77.34.5closeAndroid 5.0.1closeclosecloseclosecloseclose0 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 08:01:18 | by ThaDafinser