User agent detail

Mozilla/5.0 (Linux; U; Android 4.1.1; en-us) AppleWebKit/534.35 (KHTML, like Gecko) Chrome/11.0.696.65 Safari/534.35 Puffin/2.9909AT Mobile
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-876.php
Puffin 2.0WebKit unknownAndroid 4.1unknowngeneral TabletTabletyesyes0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Puffin 2.9909close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Puffin 2.0WebKit Android 4.1Tabletyesyes0.078 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Puffin 2.0closeAndroid closecloseTabletyesyesclose0.051 Detail
DonatjUAParser
v0.5.1
Chrome 11.0.696.65closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 11.0.696.65closeAndroidOS 4.1.1closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Puffin 2.9909closeAndroid 4.1.1mobile-browseryescloseclose0.20101 Detail
PiwikDeviceDetector
3.6.1
Puffin 2.9909WebKit Android 4.1yes0.008 Detail
SinergiBrowserDetector
6.0.1
Chrome 11.0.696.65closeAndroid 4.1.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Puffin 2.9909closeAndroid 4.1.1closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 11.0.696.65WebKit 534.35closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.062 Detail
WhatIsMyBrowserCom

Puffin 2.9909WebKit 534.35 closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Puffin 2Webkit 534.35Android 4.1.1tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 11.0.696.65closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 11.0.696.65closeAndroid 4.1.1Smartphoneyesyescloseclose0.018 Detail
Zsxsoft
1.3
Puffin 2.9909ATcloseAndroid 4.1.1closeclosecloseclosecloseclose0 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 08:07:55 | by ThaDafinser