User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.6; En-US; IRIS355 Build/IRIS355) AppleWebKit/528.5+ (KHTML, Like Gecko) Version/3.1.2 Mobile Safari/525.20.1 UCBrowser/8.7.0.315 Mobile
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LavaIris 355closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
UC Browser 8.7WebKit Android 2.3Mobile Phoneyesyes0.044 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.02 Detail
BrowscapPhp
6014
UC Browser 8.7closeAndroid closecloseMobile Phoneyesyesclose0.048 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 2.3.6closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 2.3.6LavaIris 355mobile-browseryescloseclose0.27602 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.7WebKit Android 2.3LavaIris 355smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 2.3.6closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.7.0closeAndroid 2.3.6LavaIris 355closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Iris 355closeAndroid 2.3.6closecloseclosecloseclose0.09401 Detail
WhatIsMyBrowserCom

UC Browser 8.7.0.315WebKit 528.5Android 2.3.6closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
UC Browser 8.7Webkit 528.5Android 2.3.6LavaIris 355mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser 8.7.0closeAndroid 2.3.6Feature Phoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Iris 355closeAndroid 2.3.6closeclosecloseclosecloseclose0 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 08:06:10 | by ThaDafinser