User agent detail

Mozilla/5.0 (SymbianOS/9.4 U Series60/5.0 SonyEricssonP100/01 Profile/MIDP-2.1 Configuration/CLDC-1.1) AppleWebKit/525 (KHTML, like Gecko) Version/3.0 Safari/525
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SonyEricssonP100closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 3.0 SymbianOS Mobile Phoneyes0.018 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Safari 3.0closeSymbianOS closecloseMobile Phoneyesclose0.016 Detail
DonatjUAParser
v0.5.1
Safari 3.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.0closeSymbianOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Nokia Web Browser closeSymbian OS 9.4SonyEricssonP100mobile-browseryescloseclose0.24701 Detail
PiwikDeviceDetector
3.6.1
Nokia Browser 7.0WebKit Symbian OS Series 60 5.0Sony EricssonP100smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Safari 3.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Nokia Browser 7.0closeSymbian OS 9.4SonyEricssonP100closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 525WebKit 525closeclosecloseMobileclosecloseclose0.15601 Detail
UserAgentStringCom

Browser for S60 Nokia BrowsercloseSymbianOS 9.4closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Android Browser WebKit 525Symbian Sony EricssonSony Ericsson P100closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Webkit 525Series60 5.0Sony EricssonP100mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 3.0closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Symbian S60 Browser closeSymbian S60 9.4SonyEricssonP100Feature Phoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
Safari 3.0closeSymbianOS 9.4SonyEricssonP100closeclosecloseclosecloseclose0 Detail

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 07:53:03 | by ThaDafinser