User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; MIDC407 Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.72 Mobile 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 PolaroidMIDC407closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 29.0Blink Android 4.0Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 29.0closeAndroid closecloseMobile Phoneyesyesclose0.028 Detail
DonatjUAParser
v0.5.1
Chrome 29.0.1547.72closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 29.0.1547.72closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome Mobile 29.0.1547.72closeAndroid 4.0.4PolaroidRainbow 7mobile-browseryescloseclose0.28402 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 29.0Blink Android 4.0PolaroidMIDC407tabletyes0.002 Detail
SinergiBrowserDetector
6.0.1
Chrome 29.0.1547.72closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 29.0.1547closeAndroid 4.0.4PolaroidMIDC407closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 29.0.1547.72WebKit 537.36closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.11001 Detail
WhatIsMyBrowserCom

Chrome 29.0.1547.72WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Chrome 29Blink Android 4.0.4PolaroidRainbow 7tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 29.0.1547.72closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 29.0.1547.72closeAndroid 4.0.4Smartphoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 29.0.1547.72closeAndroid 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 07:58:53 | by ThaDafinser