User agent detail

Mozilla/5.0 (SymbianOS/9.4; U; Series60/5.0 Samsung/I8910-ORANGE/BVAMNIF1; 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 SamsungI8910-ORANGEclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 3.0 SymbianOS Mobile Phoneyes0.017 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Safari 3.0closeSymbianOS closecloseMobile Phoneyesclose0.012 Detail
DonatjUAParser
v0.5.1
Safari 3.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.0closeSymbianOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Nokia Web Browser closeSymbian OS 9.4SamsungGT-I8910mobile-browseryescloseclose0.24001 Detail
PiwikDeviceDetector
3.6.1
Nokia Browser 7.0WebKit Symbian OS Series 60 5.0SamsungI8910-ORANGEsmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Safari 3.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Nokia Browser 7.0closeSymbian OS 9.4SamsungI8910-ORANGEcloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 525WebKit 525closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Browser for S60 Nokia BrowsercloseSymbianOS 9.4closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Android Browser WebKit 525Symbian closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Webkit 525Series60 5.0SamsungOmnia HDmobile:smartyescloseclose0.005 Detail
Woothee
v1.2.0
Safari 3.0closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Symbian S60 Browser closeSymbian S60 9.4SamsungGT-I8910Feature Phoneyesyescloseclose0.015 Detail
Zsxsoft
1.3
Safari 3.0closeSymbianOS 9.4Samsungcloseclosecloseclosecloseclose0.001 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 07:54:25 | by ThaDafinser