User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; PMID70C Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.64 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 PolaroidPMID70Cclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.0Mobile Phoneyesyes0.022 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.034 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.64closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.64closeAndroidOS 4.0.3closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 28.0.1500.64closeAndroid 4.0.3PolaroidPMID 70cdesktop-browsercloseclose0.36602 Detail
PiwikDeviceDetector
3.6.1
Chrome 28.0Blink Android 4.0PolaroidPMID70Ctabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.64closeAndroid 4.0.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 28.0.1500closeAndroid 4.0.3PolaroidPMID70Ccloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 28.0.1500.64WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.64WebKit 537.36Android 4.0.3closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.64Blink Android 4.0.3PolaroidPMID 70ctabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 28.0.1500.64closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.64closeAndroid 4.0.3Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.64closeAndroid 4.0.3closeclosecloseclosecloseclose0 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 07:53:02 | by ThaDafinser