User agent detail

Mozilla/5.0 (SymbianOS/9.3; U; Series60/3.2 NokiaN78-1/10.136; Profile/MIDP-2.1 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/manufacturer-nokia-series60.yaml
Webkit 413Series60 3.2N78mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari SymbianOS Mobile Phoneyes0.027 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Safari closeSymbianOS closecloseMobile Phoneyesclose0.02 Detail
DonatjUAParser
v0.5.1
Safari 413closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 413closeSymbianOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Nokia Web Browser closeSymbian OS 9.3NokiaN78mobile-browseryescloseclose0.20341 Detail
PiwikDeviceDetector
3.6.1
Nokia OSS Browser 3.2WebKit Symbian OS Series 60 3.2NokiaN78smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Nokia S60 OSS Browser 10.136;closeNokia closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Nokia OSS Browser 3.2closeSymbian OS 9.3NokiaN78-1closeclosecloseclose0.004 Detail
UserAgentApiCom

Safari 413WebKit 413closeclosecloseMobileclosecloseclose0.15802 Detail
UserAgentStringCom

Browser for S60 OSS 3.2closeSymbianOS 9.3closecloseclosecloseclose0.06601 Detail
WhatIsMyBrowserCom

Android Browser WebKit 413NokiaOS NokiaNokia N78-1closeclosecloseclosecloseclose0.24102 Detail
WhichBrowser
v2.0.18
Webkit 413Series60 3.2NokiaN78mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Symbian S60 Browser closeSymbian S60 9.3NokiaN78Feature Phoneyescloseclose0.039 Detail
Zsxsoft
1.3
Nokia Web Browser closeSymbianOS 9.3NokiaN78closeclosecloseclosecloseclose0 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 07:50:16 | by ThaDafinser