User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; LG-E730 Build/IMM76L; ro-ro) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.114 Mobile Safari/537.36 Puffin/4.2.0.1834AP
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-712.php
Puffin 4.2Blink unknownAndroid 4.0LGE730Mobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Puffin 4.2Blink Android 4.0LGE730Mobile Phoneyesyes0.013 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Puffin 4.2closeAndroid closecloseMobile Phoneyesyesclose0.023 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.114closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.114closeAndroidOS 4.0.4closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Chrome Mobile 30.0.1599.114closeAndroid 4.0.4LGE730mobile-browseryescloseclose0.29202 Detail
PiwikDeviceDetector
3.6.1
Puffin 4.2WebKit Android 4.0LGE730smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.114closeAndroid 4.0.4closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Puffin 4.2.0closeAndroid 4.0.4LGE730closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 30.0.1599.114WebKit 537.36closeclosecloseMobileclosecloseclose0.84805 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.068 Detail
WhatIsMyBrowserCom

Puffin 4.2.0.1834WebKit 537.36 closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Puffin 4.2.0Blink Android 4.0.4LGOptimus Solmobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 30.0.1599.114closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.114closeAndroid 4.0.4LGE730Smartphoneyesyescloseclose0.019 Detail
Zsxsoft
1.3
Puffin 4.2.0.1834APcloseAndroid 4.0.4LGE730closeclosecloseclosecloseclose0 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 07:56:11 | by ThaDafinser