User agent detail

Mozilla/5.0 (SAMSUNG; SAMSUNG-GT-S5380/S5380AELB3; U; Bada/2.0; fr-fr) AppleWebKit/534.20 (KHTML, like Gecko) Dolfin/3.0 Mobile HVGA SMM-MMS/1.2.0 OPN-B
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/smartphone-3.yml
Dolphin 3.0WebKit Bada 2.0SamsungGT-S5380smartphonecloseclose0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungGT-S5380closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Dolfin 3.0WebKit Bada 2.0SamsungGT-S5380Mobile Phoneyes0.021 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Dolfin 3.0closeBada closecloseMobile Phoneyesyesclose0.02 Detail
DonatjUAParser
v0.5.1
AppleWebKit 534.20closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla closebadaOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Dolphin 3.0closeBada 2.0SamsungGT-S5380mobile-browseryescloseclose0.21201 Detail
PiwikDeviceDetector
3.6.1
Dolphin 3.0WebKit Bada 2.0SamsungGT-S5380smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0close closecloseclosecloseclose0.002 Detail
UAParser
v3.4.5
Dolfin 3.0closeBada 2.0SamsungGT-S5380closeclosecloseclose0.004 Detail
UserAgentApiCom

Mozilla 5.0WebKit 534.20closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Dolfin 3.0close closecloseclosecloseclose0.071 Detail
WhatIsMyBrowserCom

5.0WebKit 534.20 Samsungcloseclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Dolfin 3.0Webkit 534.20Bada 2.0SamsungWave Ymobile:smartyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Dolfin Browser 3.0closeBada 2.0Feature Phoneyescloseclose0.023 Detail
Zsxsoft
1.3
Dolfin 3.0close SamsungGT-S5380closeclosecloseclosecloseclose0 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 08:05:50 | by ThaDafinser