User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; V800H Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.92 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AzendV800Hclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 30.0Blink Android 4.0Mobile Phoneyesyes0.07501 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 30.0closeAndroid closecloseMobile Phoneyesyesclose0.024 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.92closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.92closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 30.0.1599.92closeAndroid 4.0.4V800Hdesktop-browsercloseclose0.30202 Detail
PiwikDeviceDetector
3.6.1
Chrome 30.0Blink Android 4.0tabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.92closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 30.0.1599closeAndroid 4.0.4AzendV800Hcloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 30.0.1599.92WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Chrome 30.0.1599.92WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.39102 Detail
WhichBrowser
v2.0.18
Chrome 30Blink Android 4.0.4V800Htabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 30.0.1599.92closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.92closeAndroid 4.0.4Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 30.0.1599.92closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 07:57:01 | by ThaDafinser