User agent detail

BlogramCrawler/1.0.1(+http://blogram.jp/)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/bots/generic.yaml
yesBlogram Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
BlogramCrawler 1.0.1closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
close closeyesBlogramclose0.199 Detail
PiwikDeviceDetector
3.5.2
yes0.003 Detail
SinergiBrowserDetector
6.0.0
close closeclosecloseyescloseclose0.001 Detail
UAParser
v3.4.5
close closeclosecloseyesBlogramCrawlerclose0.029 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
No result found
WhichBrowser
2.0.10
closeyesBlogramclose0.008 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesclose0 Detail
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 2016-02-13 13:31:28 | by ThaDafinser