User agent detail

Sleipnir/2.9.9
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Woothee
v1.3.0
vendor/woothee/woothee-testset/testsets/pc_lowpriority.yaml
Sleipnir 2.9.9closeWindows UNKNOWN Ver closeclosepcclosecloseclose0 Detail
Providers
BrowscapFull
6014
Sleipnir 2.9 Desktop0.006 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Sleipnir 2.9close closecloseDesktopclose0.015 Detail
DonatjUAParser
v0.5.1
Sleipnir 2.9.9closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
Sleipnir 2.9 0.004 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
Sleipnir 2.9.9close closeclosecloseclose0.005 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Sleipnir 2.9.9 closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Sleipnir 2.9.9 closeclose0.001 Detail
Woothee
v1.2.0
Sleipnir 2.9.9closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Sleipnir 2.9.9close closeclosecloseclosecloseclose0 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 07:59:27 | by ThaDafinser