User agent detail

Mozilla/4.0 (BREW 3.1.5; U; en-us; Sanyo; NetFront/3.5.1/AMB) Sprint SCP-3810
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SprintSCP-3810closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFront 3.5NetFront Brew 2.0Mobile Deviceyes0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
NetFront 3.5closeBrew closecloseMobile Deviceyesclose0.0156 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla closeBREWOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

NetFront 3.5.1close SanyoSCP3810mobile-browseryescloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
NetFront 3.5NetFront Brew 3.1Sanyofeature phoneyes0.0156 Detail
SinergiBrowserDetector
6.0.1
Mozilla 4.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront 3.5.1closeBREW 3.1.5SprintSCP-3810closeclosecloseclose0 Detail
UserAgentApiCom

Mozilla 4.0 closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

NetFront 3.5.1close closecloseclosecloseclose0.1092 Detail
WhatIsMyBrowserCom

NetFront closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
NetFront 3.5.1 Brew 3.1.5SanyoSCP-3810mobile:featureyescloseclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
NetFront 3.5.1close SanyoSCP3810Feature Phoneyescloseclose0.0156 Detail
Zsxsoft
1.3
NetFront 3.5.1close closeclosecloseclosecloseclose0 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 07:51:53 | by ThaDafinser