User agent detail

Mozilla/5.0 (Linux U Android 1.5 en-gb T-Mobile G2 Touch Build/CUPCAKE) 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 TmobileG2 Touchclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.0WebKit Android 1.5Mobile Phoneyesyes0.0644 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Android 3.0closeAndroid closecloseMobile Phoneyesyesclose0.0468 Detail
DonatjUAParser
v0.5.1
Safari 3.0.4closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.0.4closeAndroidOS 1.5closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Webkit 3.0.4closeAndroid T-MobileG2mobile-browseryescloseclose0.2808 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.5T-MobileG2 Touchsmartphoneyes0.0156 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.0.4closeAndroid 1.5closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.5closeAndroid 1.5TmobileG2 Touchcloseclosecloseclose0 Detail
UserAgentApiCom

Safari 523.12.2WebKit 525.10closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeLinux closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

Android Browser 3.0.4WebKit 525.10Android 1.5closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 525.10Android 1.5T-MobileG2mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 3.0.4closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.5closeAndroid 1.5Feature Phoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Android Webkit 3.0.4closeAndroid 1.5closeclosecloseclosecloseclose0 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 07:52:06 | by ThaDafinser