User agent detail

Mozilla/5.0 (Linux; Android 4.1.2; mi720 Build/JZO54K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.90 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 SpiceMi720closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 27.0WebKit Android 4.1Mobile Phoneyesyes0.049 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 27.0closeAndroid closecloseMobile Phoneyesyesclose0.031 Detail
DonatjUAParser
v0.5.1
Chrome 27.0.1453.90closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 27.0.1453.90closeAndroidOS 4.1.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 27.0.1453.90closeAndroid 4.1.2mi720desktop-browsercloseclose0.30802 Detail
PiwikDeviceDetector
3.6.1
Chrome 27.0WebKit Android 4.1tabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 27.0.1453.90closeAndroid 4.1.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 27.0.1453closeAndroid 4.1.2SpiceMi720closeclosecloseclose0.004 Detail
UserAgentApiCom

Chrome 27.0.1453.90WebKit 537.36closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.2closecloseclosecloseclose0.12001 Detail
WhatIsMyBrowserCom

Chrome 27.0.1453.90WebKit 537.36Android 4.1.2closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Chrome 27Blink Android 4.1.2mi720tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 27.0.1453.90closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 27.0.1453.90closeAndroid 4.1.2Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 27.0.1453.90closeAndroid 4.1.2closeclosecloseclosecloseclose0 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 08:09:08 | by ThaDafinser