User agent detail

Jigsaw/2.3.0 W3C_CSS_Validator_JFouffa/2.0 (See )

Detected by 6 of 8 providers
As bot detected by 3 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
yesJigsaw_W3C_CSS_ValidatorCrawler Detail
DonatjUAParser
v0.5.0
Jigsaw 2.3.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
yesW3C CSS ValidatorValidator Detail
SinergiBrowserDetector
6.0.0
Google Search Appliance 2.3.0close closecloseclosecloseclose Detail
UAParser
v3.4.5
close closeclosecloseclose Detail
WhichBrowser
2.0.9
closeyesW3C CSS Validatorclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
No result found

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 2016-01-26 16:39:16 | by ThaDafinser