User agent detail

Mozilla/5.0 (Linux; U; Android 2.1-update1; en-us; LG-T385; Build/Eclair) AppleWebKit/530.17(KHTML, like Gecko) Version/4.0 Mobile Safari/530.17
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGT385closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.1Mobile Phoneyesyes0.013 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.004 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.01 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.1closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.1-update1LGT385;mobile-browseryescloseclose0.31102 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.1LGT385smartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.1closeAndroid 2.1.0LGT385closeclosecloseclose0 Detail
UserAgentApiCom

Safari 530.17WebKit 530.17closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.1-update1closecloseclosecloseclose0.08 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 530.17Android 2.1LGLGT385closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 530.17Android 2.1LG-T385mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.1closeAndroid 2.1Feature Phoneyesyescloseclose0.02 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.1LGT385closeclosecloseclosecloseclose0 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 08:00:13 | by ThaDafinser