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/12.10240
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/donatj/phpuseragentparser/Tests/user_agents.json
Edge 12.10240 0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-edge.yaml
Edge 12EdgeHTML 12.10240Windows 10desktopclosecloseclose0 Detail
Woothee
v1.3.0
vendor/woothee/woothee-testset/testsets/pc_windows.yaml
Edge closeWindows 10 NT 10.0closeclosepcclosecloseclose0 Detail
Providers
BrowscapFull
6014
Edge 12.0Edge 12.0Win10 10.0Desktop0.01 Detail
BrowscapLite
6014
Edge 12.0closeWin10 closecloseDesktopcloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Edge 12.0closeWin10 closecloseDesktopclose0.01 Detail
DonatjUAParser
v0.5.1
Edge 12.10240closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Edge 12.10240closeWindows 10.0closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Chrome 42.0.2311.135closeWindows 10.0desktop-browsercloseclose0.23801 Detail
PiwikDeviceDetector
3.6.1
Microsoft Edge 12.10240Edge Windows 10desktop0.004 Detail
SinergiBrowserDetector
6.0.1
Edge 12.1024closeWindows 10.0closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Edge 12.10240closeWindows 10 closeclosecloseclose0.008 Detail
UserAgentApiCom

Microsoft Edge 12.10240WebKit 537.36closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

Edge 12.10240closeWindows 10 closecloseclosecloseclose0.083 Detail
WhatIsMyBrowserCom

Edge 12.10240WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Edge 12EdgeHTML 12.10240Windows 10desktopcloseclose0.003 Detail
Woothee
v1.2.0
Edge 12.10240closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Edge 12.10240closeWindows 10Desktopcloseclose0.022 Detail
Zsxsoft
1.3
Edge 12.10240closeWindows 10closeclosecloseclosecloseclose0.001 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 07:54:34 | by ThaDafinser