User agent detail

phantomas/1.8.0 (PhantomJS/1.9.8; linux x64)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-539.php
yesphantomasBot/Crawler0 Detail
Providers
BrowscapFull
6014
yesphantomasBot/Crawler0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesphantomasclose0.01 Detail
DonatjUAParser
v0.5.1
phantomas 1.8.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
GNU/Linux desktop0.003 Detail
SinergiBrowserDetector
6.0.1
closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
PhantomJS 1.9.8close closeclosecloseclose0.001 Detail
UserAgentApiCom

closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Linux closeclosecloseclosecloseclose0.25001 Detail
WhichBrowser
v2.0.18
PhantomJS 1.9.8 closeclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
closeGNU/Linux 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 08:08:19 | by ThaDafinser