User agent detail

Mozilla/5.0 (Linux; U; Android 1.5; GT-I7500) 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 SamsungGT-I7500closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.0WebKit Android 1.5Mobile Phoneyesyes0.09501 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Android 3.0closeAndroid closecloseMobile Phoneyesyesclose0.025 Detail
DonatjUAParser
v0.5.1
Android Browser 3.0.4closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.0.4closeAndroidOS 1.5closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 3.0.4closeAndroid 1.5SamsungGT i7500mobile-browseryescloseclose0.20001 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.5SamsungGT-I7500smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.0.4closeAndroid 1.5closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.5closeAndroid 1.5SamsungGT-I7500closeclosecloseclose0 Detail
UserAgentApiCom

Safari 523.12.2WebKit 525.10closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 1.5closecloseclosecloseclose0.07 Detail
WhatIsMyBrowserCom

Android Browser 3.0.4WebKit 525.10Android 1.5Samsungcloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 525.10Android 1.5mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 3.0.4closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.5closeAndroid 1.5SamsungGT i7500Feature Phoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Android Webkit 3.0.4closeAndroid 1.5SamsungI7500closeclosecloseclosecloseclose0 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 08:07:02 | by ThaDafinser