User agent detail

Mozilla/5.0 (Linux; U; en-us; Velocitymicro/T408) AppleWebKit/530.17(KHTML, like Gecko) Version/4.0Safari/530.17
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-821.php
Android 4.0Android unknownunknown Velocity MicroCruzTabletyesyes Detail
Providers
BrowscapPhp
6012
Android 4.0WebKit Android Velocity MicroCruzTabletyesyes0.10401 Detail
DonatjUAParser
v0.5.0
AppleWebKit 4.0Safaricloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Safari 4.0closeLinux desktop-browsercloseclose0.183 Detail
PiwikDeviceDetector
3.5.2
Safari 4.0WebKit GNU/Linux desktop0.011 Detail
SinergiBrowserDetector
6.0.0
Safari 4.0SafaricloseLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Safari 4.0closeLinux closeclosecloseclose0.008 Detail
UserAgentStringCom
Safari 4.0SafaricloseLinux closecloseclosecloseclose0.091 Detail
WhatIsMyBrowserCom
WebKit 530.17Linux closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
Webkit 530.17Linux closeclose0.005 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
No result found

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 2016-02-13 13:26:49 | by ThaDafinser