User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; G1 Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.82 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close GalapadG1closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 30.0Blink Android 4.0Mobile Phoneyesyes0.024 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Chrome 30.0closeAndroid closecloseMobile Phoneyesyesclose0.03 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.82closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.82closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 30.0.1599.82closeAndroid 4.0.4G1desktop-browsercloseclose0.30602 Detail
PiwikDeviceDetector
3.6.1
Chrome 30.0Blink Android 4.0tabletyes0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.82closeAndroid 4.0.4closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 30.0.1599closeAndroid 4.0.4GalapadG1closeclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 30.0.1599.82WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.067 Detail
WhatIsMyBrowserCom

Chrome 30.0.1599.82WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Chrome 30Blink Android 4.0.4G1tabletyescloseclose0.004 Detail
Woothee
v1.2.0
Chrome 30.0.1599.82closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.82closeAndroid 4.0.4HTCG1Smartphoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 30.0.1599.82closeAndroid 4.0.4closeclosecloseclosecloseclose0.001 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 08:00:04 | by ThaDafinser