User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; JT-B1 Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.59 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 PanasonicJT-B1closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 31.0Blink Android 4.0Mobile Phoneyesyes0.069 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 31.0closeAndroid closecloseMobile Phoneyesyesclose0.025 Detail
DonatjUAParser
v0.5.1
Chrome 31.0.1650.59closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 31.0.1650.59closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 31.0.1650.59closeAndroid 4.0.4JT-B1desktop-browsercloseclose0.31902 Detail
PiwikDeviceDetector
3.6.1
Chrome 31.0Blink Android 4.0tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 31.0.1650.59closeAndroid 4.0.4closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 31.0.1650closeAndroid 4.0.4PanasonicJT-B1closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 31.0.1650.59WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Chrome 31.0.1650.59WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Chrome 31Blink Android 4.0.4PanasonicToughpad JT-B1tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 31.0.1650.59closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 31.0.1650.59closeAndroid 4.0.4Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 31.0.1650.59closeAndroid 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 07:53:22 | by ThaDafinser