User agent detail

Bloodhound/2.1 CFNetwork/673.4 Darwin/13.3.0 (x86_64) (MacBookPro10%2C1)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_os.yaml
Mac OS X 10.9.3 Detail
Providers
BrowscapPhp
6012
CFNetwork WebKit MacOSX 10.9AppleMacintoshDesktop0.07801 Detail
DonatjUAParser
v0.5.0
Bloodhound 2.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
closeOS X 10.9.3desktop-browsercloseclose0.193 Detail
PiwikDeviceDetector
3.5.2
Mac 10.9desktop0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
CFNetwork 673.4closeMac OS X 10.9.3AppleMacBookPro10,1closeclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Darwin closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
OS X Mavericks 10.9.3desktopcloseclose0.018 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
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 2016-02-13 13:35:02 | by ThaDafinser