User agent detail

Mozilla/5.0 (Linux; U; Android 1.6; en-; Devour Build/DRC92) AppleWebKit/528.5+ (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close MotorolaDevourclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android 1.6Mobile Phoneyesyes0.10501 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.015 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.047 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 1.6closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 1.6MotorolaCalgarymobile-browseryescloseclose0.32202 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.6smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 1.6closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.6closeAndroid 1.6MotorolaDevourcloseclosecloseclose0.003 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 1.6closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Android Browser 3.1.2WebKit 528.5Android 1.6closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 528.5Android 1.6MotorolaDroid Devourmobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.6closeAndroid 1.6MotorolaCalgaryFeature Phoneyesyescloseclose0.024 Detail
Zsxsoft
1.3
Android Webkit 3.1.2closeAndroid 1.6closeclosecloseclosecloseclose0 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 07:53:05 | by ThaDafinser