User agent detail

UCWEB/2.0 (MIDP-2.0; U; Adr 2.3.6; en-US; Iris349i) U2/1.0.0 UCBrowser/9.2.0.419 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 9.2.0.419Android 2.3.6 LavaIris 349ismartphone Detail
Providers
BrowscapPhp
6012
UC Browser 9.2U2 Android 2.3Mobile Phoneyesyes0.016 Detail
DonatjUAParser
v0.5.0
UCWEB 2.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
UC Browser close LavaIris 349imobile-browseryescloseclose0.25603 Detail
PiwikDeviceDetector
3.5.2
UC Browser 9.2 Android 2.3LavaIris 349ismartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UC Browser 9.2.0closeAndroid 2.3.6LavaIris 349icloseclosecloseclose0.002 Detail
UserAgentStringCom
UC Browser 2.0close closecloseclosecloseclose0.047 Detail
WhatIsMyBrowserCom
UC Browser 9.2.0.419 Mobilecloseclosecloseclosecloseclose0.40204 Detail
WhichBrowser
2.0.10
UC Browser 9.2Gecko Android 2.3.6LavaIris 349imobile:smartyescloseclose0.025 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
UC Browser 9closeAndroid 2.3LavaIris 349iSmartphoneyesyescloseclose0.016 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 13:30:16 | by ThaDafinser