User agent detail

Coursera-Mobile 1.2.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-513.php
Coursera Mobile App 1.2WebKit unknownunknown unknownunknowngeneral Mobile PhoneMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Coursera Mobile App 1.2WebKit Mobile Phoneyesyes0.004 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Coursera Mobile App 1.2close closecloseMobile Phoneyesyesclose0.013 Detail
DonatjUAParser
v0.5.1
Coursera-Mobile closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
No result found
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
No result found
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close Feature Phoneyescloseclose0.015 Detail
Zsxsoft
1.3
No result found

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 08:07:59 | by ThaDafinser