User agent detail

Mozilla/5.0 (Linux;Android 4.0.4; Digma iDsD7 3G Build/IMM76D) AppleWebKit/537.36(KHTML,like Gecko) Chrome/38.0.2125.102 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-529.php
Chrome 38.0Blink unknownAndroid 4.0DigmaiDsD7 3GTabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 38.0Blink Android 4.0DigmaiDsD7 3GTabletyesyes0.01 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 38.0closeLinux closecloseDesktopclose0.039 Detail
DonatjUAParser
v0.5.1
Chrome 38.0.2125.102closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 38.0.2125.102closeAndroidOS 4.0.4closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome Mobile 38.0.2125.102closeAndroid 4.0.4DigmaiDsD7mobile-browseryescloseclose0.26902 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 38.0Blink Android 4.0smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 38.0.2125.102closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 38.0.2125closeAndroid 4.0.4Digma iDsD7 3Gcloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 38.0.2125.102WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Chrome 38.0.2125.102WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Chrome 38Blink Android 4.0.4DigmaiDsD7tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 38.0.2125.102closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 38.0.2125.102closeAndroid 4.0.4Smartphoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 38.0.2125.102closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 08:05:30 | by ThaDafinser