User agent detail

Mozilla/5.0 (PLAYSTATION 3; 3.55)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/donatj/phpuseragentparser/Tests/user_agents.json
NetFront 3.55 0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SonyPlayStation 3closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/gaming/sony.yaml
3.55Playstation 3gaming:consoleclosecloseclose0 Detail
Zsxsoft
1.3
vendor/zsxsoft/php-useragent/tests/UserAgentList.php
Mozilla Compatible close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Playstation Browser WebKit CellOS SonyPlaystation 3TV Device0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Playstation Browser closeCellOS closecloseTV Deviceclose0.0156 Detail
DonatjUAParser
v0.5.1
NetFront 3.55closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla close closecloseclosecloseclose0 Detail
NeutrinoApiCom

NetFront closeXrossMediaBar (XMB) SonyPlaystation 3mobile-browseryescloseclose0.2592 Detail
PiwikDeviceDetector
3.6.1
NetFront PlayStation 3SonyPlayStation 3consoleyes0 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront close SonyPlayStation 3closeclosecloseclose0 Detail
UserAgentApiCom

Mozilla 5.0 closeclosecloseMobileclosecloseclose0.1504 Detail
UserAgentStringCom

PlayStation 3 3.55close closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

NetFront NetFront SonyPlaystation 3closeclosecloseclosecloseclose0.2652 Detail
WhichBrowser
v2.0.18
3.55SonyPlaystation 3gaming:consolecloseclose0 Detail
Woothee
v1.2.0
PlayStation 3 closecloseclosecloseapplianceclosecloseclose0 Detail
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
close PlayStation3closeclosecloseclosecloseclose0 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 07:52:52 | by ThaDafinser