User agent detail

Mozilla/5.0 (compatible; U; Webster 0.1; Syllable) AppleWebKit/420+ (KHTML, like Gecko)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/os-syllable.yaml
Webster 0.1Webkit 420Syllable desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
AppleWebKit 420closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla close closecloseclosecloseclose0 Detail
NeutrinoApiCom

Apple Mail closeSyllable email-clientcloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
Syllable desktop0.0156 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
No result found
UserAgentApiCom

No result found
UserAgentStringCom

Safari closeSyllable closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

Mozilla 5.0WebKit 420 closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Webster 0.1Webkit 420Syllable desktopcloseclose0.0156 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 07:51:14 | by ThaDafinser