User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; A701B Build/IMM76D) AppleWebKit/537.22 (KHTML, like Gecko) Chrome/25.0.1364.169 Safari/537.22
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AmawayA701Bclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 25.0WebKit Android 4.0Mobile Phoneyesyes0.037 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Chrome 25.0closeAndroid closecloseMobile Phoneyesyesclose0.04 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1364.169closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1364.169closeAndroidOS 4.0.4closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 25.0.1364.169closeAndroid 4.0.4A701Bdesktop-browsercloseclose0.33702 Detail
PiwikDeviceDetector
3.6.1
Chrome 25.0WebKit Android 4.0tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1364.169closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 25.0.1364closeAndroid 4.0.4AmawayA701Bcloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 25.0.1364.169WebKit 537.22closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.09 Detail
WhatIsMyBrowserCom

Chrome 25.0.1364.169WebKit 537.22Android 4.0.4closeclosecloseclosecloseclose0.33202 Detail
WhichBrowser
v2.0.18
Chrome 25Webkit 537.22Android 4.0.4A701Btabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 25.0.1364.169closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1364.169closeAndroid 4.0.4AcerA701BTabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 25.0.1364.169closeAndroid 4.0.4closeclosecloseclosecloseclose0.002 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 08:06:26 | by ThaDafinser