User agent detail

Dalvik/1.2.0 (Linux; U; Android 2.2.2; HTC Desire Build/FRG83G) [FBAN/Orca-Android;FBAV/2.6.1-release;FBLC/de_DE;FBBV/288543;FBCR/o2 - de;FBMF/HTC;FBBD/htc_wwe;FBDV/HTC Desire;FBSV/2.2.2]
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-767.php
Facebook App 0.0WebKit unknownAndroid 2.2HTCDesireMobile Phoneyesyes0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Facebook 2.6.1close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Facebook App WebKit Android 2.2HTCDesireMobile Phoneyesyes0.004 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Dalvik 1.2closeAndroid closecloseMobile Phoneyesyesclose0.019 Detail
DonatjUAParser
v0.5.1
Dalvik 1.2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeAndroidOS 2.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Browser closeAndroid 2.2.2HTCDesiremobile-browseryescloseclose0.27402 Detail
PiwikDeviceDetector
3.6.1
Facebook 2.6 Android 2.2HTCDesiresmartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator closeAndroid 2.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Facebook 2.6.1closeAndroid 2.2.2HTCDesirecloseclosecloseclose0.001 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Orca Android 2.2.2HTC Desirecloseclosecloseclosecloseclose0.24901 Detail
WhichBrowser
v2.0.18
Android Browser Android 2.2.2HTCDesiremobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android App 2.2.2closeAndroid 2.2.2HTCDesireSmartphoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Orca closeAndroid 2.2.2HTC Desirecloseclosecloseclosecloseclose0 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 08:06:16 | by ThaDafinser