User agent detail

NewsGatorOnline/2.0 (http://www.newsgator.com)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close closeclosecloseyescloseclose0 Detail
Providers
BrowscapFull
6014
yesNewsGatorOnlineRSS0 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesNewsGatorOnlineclose0.0156 Detail
DonatjUAParser
v0.5.1
NewsGatorOnline 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

NewsGatorOnline 2.0close feed-readercloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
yesNewsGatorFeed Fetcher0 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close closeclosecloseyesNewsGatorOnlineclose0 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesNewsGatorCrawler0.078 Detail
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
closeyesNewsGatorclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
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 2016-05-10 07:52:36 | by ThaDafinser