User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; ME173X Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.92 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tablet.yml
Chrome 30.0.1599.92Blink Android 4.2.2AsusMeMO Pad HD 7tabletcloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 30.0Blink Android 4.2AsusMemo Pad HD7Tabletyesyes0.0624 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Chrome 30.0closeAndroid closecloseTabletyesyesclose0.0312 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.92closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.92closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 30.0.1599.92closeAndroid 4.2.2AsusMemoPad HD 7desktop-browsercloseclose0.2652 Detail
PiwikDeviceDetector
3.6.1
Chrome 30.0Blink Android 4.2AsusMeMO Pad HD 7tabletyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.92closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 30.0.1599closeAndroid 4.2.2AsusME173Xcloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 30.0.1599.92WebKit 537.36closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Chrome 30.0.1599.92WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Chrome 30Blink Android 4.2.2AsusMeMO Pad HD 7 (ME173X)tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 30.0.1599.92closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.92closeAndroid 4.2.2AsusME173XTabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 30.0.1599.92closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 07:50:37 | by ThaDafinser