User agent detail

Pinterest/3356 CFNetwork/711.0.6 Darwin/14.0.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-765.php
Pinterest App 0.0WebKit unknowniOS 8.0Applegeneral Mobile DeviceMobile Deviceyesyes0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
CFNetwork 711.0.6close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Pinterest App WebKit iOS 8.0AppleMobile Deviceyesyes0.011 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Pinterest App closeiOS closecloseMobile Deviceyesyesclose0.019 Detail
DonatjUAParser
v0.5.1
Pinterest 3356closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesPinterestclose0.21001 Detail
PiwikDeviceDetector
3.6.1
Pinterest 3356 iOS 8.0yes0.003 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
CFNetwork 711.0.6closeiOS 8.0Applecloseclosecloseclose0.001 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Pinterest Bot 3356 Darwin closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
closeyesPinterestclose0.003 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
CFNetwork App 8.0closeiOS 8.0AppleiPhoneSmartphoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
closeMac OS Darwin 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 08:10:44 | by ThaDafinser