User agent detail

Shim-Crawler
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Shim-Crawler close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
yesShim CrawlerBot/Crawler0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesShim Crawlerclose0.0312 Detail
DonatjUAParser
v0.5.1
Shim-Crawler closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesclose0.2808 Detail
PiwikDeviceDetector
3.6.1
yes0 Detail
SinergiBrowserDetector
6.0.1
close closeclosecloseyescloseclose0 Detail
UAParser
v3.4.5
close closeclosecloseyesShim-Crawlerclose0 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesShim-CrawlerCrawler0.0624 Detail
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
closeyesclose0 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesclose0 Detail
Wurfl
1.7.1.0
close yescloseclose0.0156 Detail
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 07:50:32 | by ThaDafinser