User agent detail

Mozilla/5.0 (X11; Linux x86_64; rv:24.0) Gecko/20100101 Thunderbird/24.2.0 Lightning/2.6.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_ua.yaml
Lightning 2.6.4 Detail
Providers
BrowscapPhp
6012
Thunderbird 24.2Gecko 24.0Linux Linux DesktopDesktop0.06901 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Thunderbird 24.2.0closeLinux email-clientcloseclose0.22502 Detail
PiwikDeviceDetector
3.5.2
Thunderbird 24.2 GNU/Linux desktop0.006 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Lightning 2.6.4closeLinux closeclosecloseclose0.001 Detail
UserAgentStringCom
Thunderbird 24.2.0closeLinux closecloseclosecloseclose0.06201 Detail
WhatIsMyBrowserCom
Mozilla 24.0Gecko 20100101Linux closeclosecloseclosecloseclose0.42604 Detail
WhichBrowser
2.0.10
Thunderbird 24.2.0Gecko 24.0Linux desktopcloseclose0.011 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
close Desktopcloseclose0.021 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 2016-02-13 13:27:19 | by ThaDafinser