User agent detail

Mozilla/5.0 (Linux; U;Android4.1.1;en-ru; LC0816C Build/JRO03C) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 4.1.1; fr-sa; Build/JRO03CSafari/534.30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tablet.yml
Android Browser WebKit Android 3QLC0816Ctabletcloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android Mobile Phoneyesyes0.02 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.031 Detail
DonatjUAParser
v0.5.1
Safari 4.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.1.13QQoo! Q-Pad LC0816Cmobile-browseryescloseclose0.26601 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 3QLC0816Ctabletyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Safari 4.0closeAndroid 3QLC0816Ccloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.1.13QQoo! Q-Pad LC0816Ctabletyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit closeLinux Tabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid closeclosecloseclosecloseclose0 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 07:59:51 | by ThaDafinser