User agent detail

Mozilla/5.0 (X11; Linux x86_64; rv:10.0) Gecko/20100101 Firefox/10.0 [FBAN/FBIOS;FBAV/7.0.0.17.1;FBBV/1325030;FBDV/iPhone6,2;FBMD/iPhone;FBSN/iPhone OS;FBSV/7.0.6;FBSS/2; FBCR/Telekom.de;FBID/phone;FBLC/de_DE;FBOP/5]
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AppleiPhone6,2closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Firefox 10.0Gecko 10.0Linux Desktop0.024 Detail
BrowscapLite
6014
Firefox closeLinux closecloseDesktopcloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Firefox 10.0closeLinux closecloseDesktopclose0.016 Detail
DonatjUAParser
v0.5.1
Firefox 10.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Firefox 10.0closeLinux closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Mobile Safari closeLinux AppleiPhonemobile-browseryescloseclose0.22401 Detail
PiwikDeviceDetector
3.6.1
Facebook 7.0 iOS AppleiPhone 5Ssmartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Firefox 10.0closeLinux closeiPhonecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Facebook 7.0.0closeLinux AppleiPhone6,2closeclosecloseclose0.002 Detail
UserAgentApiCom

Firefox 10.0Gecko 10.0closeclosecloseMobileclosecloseclose0.16801 Detail
UserAgentStringCom

Firefox 10.0closeLinux closecloseclosecloseclose0.10401 Detail
WhatIsMyBrowserCom

Facebook iOS App 7.0.0.17.1Gecko 20100101iOS AppleiPhone 6closeclosecloseclosecloseclose0.24701 Detail
WhichBrowser
v2.0.18
Facebook Gecko 10.0iOS AppleiPhone 5smobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Firefox 10.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari closeiOS AppleiPhoneFeature Phoneyesyescloseclose0.019 Detail
Zsxsoft
1.3
Facebook 7.0.0.17.1closeGNU/Linux AppleiPhonecloseclosecloseclosecloseclose0 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 07:59:18 | by ThaDafinser