User agent detail

Mozilla/5.0 (X11; U; Linux x86_64; ar-AE) AppleWebKit/534.35 (KHTML, like Gecko) Chrome/11.0.696.65 Safari/534.35 Puffin/3.10990IT
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-876.php
Puffin 3.0WebKit unknowniOS unknownAppleiPadTabletyesyes0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AppleiPadclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Puffin 3.0WebKit iOS AppleiPadTabletyesyes0.015 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Puffin 3.0closeiOS closecloseTabletyesyesclose0.021 Detail
DonatjUAParser
v0.5.1
Chrome 11.0.696.65closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 11.0.696.65closeLinux closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Puffin 3.10990closeiOS AppleiPadmobile-browseryescloseclose0.19901 Detail
PiwikDeviceDetector
3.6.1
Puffin 3.10990WebKit GNU/Linux yes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 11.0.696.65closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Puffin 3.10990closeLinux AppleiPadcloseclosecloseclose0.01 Detail
UserAgentApiCom

Chrome 11.0.696.65WebKit 534.35closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Chrome 11.0.696.65closeLinux closecloseclosecloseclose0.073 Detail
WhatIsMyBrowserCom

Puffin 3.10990WebKit 534.35 iPadcloseclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Puffin 3Webkit 534.35iOS AppleiPadtabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 11.0.696.65closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 11.0.696.65closeLinux x86_64 Desktopcloseclose0.016 Detail
Zsxsoft
1.3
Puffin 3.10990ITcloseGNU/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 08:04:20 | by ThaDafinser