User agent detail

Opera/9.80 (Linux armv7l; U; NETRANGEMMH;HbbTV/1.1.1;CE-HTML/1.0;Vendor/THOMSON;SW-Version/V8-MT51F01-LF1V325;Cnt/HRV;Lan/swe; NETRANGEMMH;HbbTV/1.1.1;CE-HTML/1.0) Presto/2.12.362 Version/12.11
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-650.php
Opera 12.11Presto 2.12Linux Smartphone OS unknownThomsonLF1V325TV Device0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ThomsonLF1V325closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 12.11Presto 2.12Linux Smartphone OS ThomsonLF1V325TV Device0.01 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 12.11closeLinux Smartphone OS closecloseTV Deviceclose0.016 Detail
DonatjUAParser
v0.5.1
Opera V8closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera V8closeLinux closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Opera 12.11closeLinux media-playercloseclose0.20601 Detail
PiwikDeviceDetector
3.6.1
Opera 12.11Presto GNU/Linux Thomsontv0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 12.11closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera 12.11closeLinux ThomsonLF1V325closeclosecloseclose0.001 Detail
UserAgentApiCom

Opera 8Presto 2.12.362closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Opera 12.11closeLinux closecloseclosecloseclose0.088 Detail
WhatIsMyBrowserCom

Opera 12.11Presto 2.12.362Linux closeclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Opera Devices 3.4Presto 2.12.362 televisioncloseclose0.001 Detail
Woothee
v1.2.0
Opera 12.11closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 12.11closeLinux armv7l SmartTVSmart-TVcloseclose0.016 Detail
Zsxsoft
1.3
Opera V8closeGNU/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 2016-05-10 07:58:43 | by ThaDafinser