User agent detail

Mozilla/5.0 (Linux; U; Android 1.6; de-de; GT540 Build/Donut) AppleWebKit/525.10+ (KHTML, like Gecko) Version/3.0.4 Mobile Safari/523.12.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGGT540closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.0WebKit Android 1.6Mobile Phoneyesyes0.035 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.015 Detail
BrowscapPhp
6014
Android 3.0closeAndroid closecloseMobile Phoneyesyesclose0.042 Detail
DonatjUAParser
v0.5.1
Android Browser 3.0.4closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Safari 3.0.4closeAndroidOS 1.6closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 3.0.4closeAndroid 1.6LGGT540mobile-browseryescloseclose0.27602 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.6smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.0.4closeAndroid 1.6closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.6closeAndroid 1.6LGGT540closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 523.12.2WebKit 525.10closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 1.6closecloseclosecloseclose0.062 Detail
WhatIsMyBrowserCom

Android Browser 3.0.4WebKit 525.10Android 1.6closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 525.10Android 1.6LGOptimus GT540mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 3.0.4closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.6closeAndroid 1.6LGGT540Feature Phoneyesyescloseclose0.025 Detail
Zsxsoft
1.3
Android Webkit 3.0.4closeAndroid 1.6closeclosecloseclosecloseclose0.001 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 07:59:50 | by ThaDafinser