User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.5; En-us; Atlas W Build/GRJ22) AppleWebKit/533.1 (KHTML, Like Gecko) Version/4.0 Mobile Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ZTEAtlas Wclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.3Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.3.5closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.3.5Atlas Wmobile-browseryescloseclose0.29902 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3yes0.006 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.5closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 2.3.5closeAndroid 2.3.5ZTEAtlas Wcloseclosecloseclose0.004 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.5closecloseclosecloseclose0.086 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.3.5closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 533.1Android 2.3.5Atlas Wmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.5closeAndroid 2.3.5Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.5closeclosecloseclosecloseclose0 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 07:59:31 | by ThaDafinser