User agent detail

Opera/9.80 (X11; Linux zvav; U; xx) Presto/2.8.119 Version/11.10
Additional headers
X-OperaMini-Phone RIM # BlackBerry 8520
X-OperaMini-Phone-UA BlackBerry8520/5.0.0.1036 Profile/MIDP-2.1 Configuration/CLDC-1.1 VendorID/613
X-OperaMini-Features httpping, advanced, routing, folding, touch, camera, file_system
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-blackberry.yaml
Opera Mini Presto 2.8.119BlackBerry OS 5.0BlackBerry Curve 8520mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 11.10Presto 2.8Linux Desktop0.022 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 11.10closeLinux closecloseDesktopclose0.022 Detail
DonatjUAParser
v0.5.1
Opera 11.10closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 11.10closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 11.10closeLinux desktop-browsercloseclose0.18002 Detail
PiwikDeviceDetector
3.6.1
Opera 11.10Presto GNU/Linux desktop0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 11.10closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 11.10closeLinux closeclosecloseclose0.001 Detail
UserAgentApiCom

Opera 11.10Presto 2.8.119closeclosecloseDesktopclosecloseclose0.13701 Detail
UserAgentStringCom

Opera 11.10closeLinux closecloseclosecloseclose0.06601 Detail
WhatIsMyBrowserCom

Opera 11.10Presto 2.8.119Linux closeclosecloseclosecloseclose0.44904 Detail
WhichBrowser
v2.0.18
Opera Mini Presto 2.8.119BlackBerry OS 5.0RIMBlackBerry Curve 8520mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Opera 11.10closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 11.10closeLinux zvav Desktopcloseclose0.08001 Detail
Zsxsoft
1.3
Opera 11.10closeGNU/Linux closeclosecloseclosecloseclose0.001 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 2016-05-17 06:37:40 | by ThaDafinser