User agent detail

Links (2.1pre22; NetBSD 2.0.2 i386; 80x48)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/os-bsd.yaml
Links 2.1 NetBSD 2.0.2closecloseclose0 Detail
Providers
BrowscapFull
6014
Links 2.1 NetBSD Desktop0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Links 2.1closeNetBSD closecloseDesktopclose0.006 Detail
DonatjUAParser
v0.5.1
Links closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

Links 2.1pre22closeBSD 2.0.2desktop-browsercloseclose0.21001 Detail
PiwikDeviceDetector
3.6.1
Links 2.1Text-based NetBSD 2.0desktop0.004 Detail
SinergiBrowserDetector
6.0.1
closeNetBSD closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Links 2.1closeNetBSD 2.0.2closeclosecloseclose0.001 Detail
UserAgentApiCom

No result found
UserAgentStringCom

Links 2.1pre22closeNetBSD 2.0.2closecloseclosecloseclose0.085 Detail
WhatIsMyBrowserCom

Links 2.1pre22 closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Links 2.1 NetBSD 2.0.2closeclose0.003 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Links 2.1pre22closeNetBSD closeclosecloseclosecloseclose0 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 08:10:22 | by ThaDafinser