User agent detail

Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.9600
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-688.php
Edge 12.0Edge 12.0Win10 10.0unknownWindows DesktopDesktop0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Edge 12.9600close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Edge 12.0Edge 12.0Win10 10.0Desktop0.01 Detail
BrowscapLite
6014
Edge 12.0closeWin10 closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Edge 12.0closeWin10 closecloseDesktopclose0.008 Detail
DonatjUAParser
v0.5.1
Edge 12.9600closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Edge 12.9600closeWindows 10.0closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Chrome 42.0.2311.135closeWindows 10.0desktop-browsercloseclose0.20801 Detail
PiwikDeviceDetector
3.6.1
Microsoft Edge 12.9600Edge Windows 10desktop0.01 Detail
SinergiBrowserDetector
6.0.1
Edge 12.96closeWindows 10.0closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Edge 12.9600closeWindows 10 closeclosecloseclose0.001 Detail
UserAgentApiCom

Microsoft Edge 12.9600WebKit 537.36closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Edge 12.9600closeWindows 10 closecloseclosecloseclose0.20301 Detail
WhatIsMyBrowserCom

Edge 12.9600WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.23101 Detail
WhichBrowser
v2.0.18
Edge 12EdgeHTML 12.9600Windows 10desktopcloseclose0.001 Detail
Woothee
v1.2.0
Edge 12.9600closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Edge 12.9600closeWindows 10Desktopcloseclose0.016 Detail
Zsxsoft
1.3
Edge 12.9600closeWindows 10closeclosecloseclosecloseclose0 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 08:06:20 | by ThaDafinser