User agent detail

UCWEB/2.0 (MIDP-2.0; U; Adr 4.2.2; en-US; iris356) U2/1.0.0 UCBrowser/9.5.0.480 U2/1.0.0 Mobile
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/smartphone-1.yml
UC Browser 9.5.0.480Android 4.2.2 LavaIris 356smartphone Detail
Providers
BrowscapPhp
6012
UC Browser 9.5U2 Android 4.2Mobile Phoneyesyes0.011 Detail
DonatjUAParser
v0.5.0
UCWEB 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
UC Browser close LavaiRIS 405+mobile-browseryescloseclose0.25503 Detail
PiwikDeviceDetector
3.5.2
UC Browser 9.5 Android 4.2LavaIris 356smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UC Browser 9.5.0closeAndroid 4.2.2LavaIris 356closeclosecloseclose0.002 Detail
UserAgentStringCom
UC Browser 2.0close closecloseclosecloseclose0.08301 Detail
WhatIsMyBrowserCom
UC Browser 9.5.0.480 Mobilecloseclosecloseclosecloseclose0.41304 Detail
WhichBrowser
2.0.10
UC Browser 9.5Gecko Android 4.2.2LavaIris 356mobile:smartyescloseclose0.021 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
UC Browser 9closeAndroid 4.2LavaIris 356Smartphoneyesyescloseclose0.018 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 2016-02-13 13:37:49 | by ThaDafinser