User agent detail

Lenovo A820_4.1.2_weibo_3.5.2_android
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LenovoA820_4.1.2_weibo_3.5.2_android Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
Lenovo closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
close LenovoA820 4.1.2 weibo 3.5.2 androidmobile-browseryescloseclose0.19404 Detail
PiwikDeviceDetector
3.5.2
LenovoA820 4smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
close LenovoA820_4.1.2_weibo_3.5.2_androidcloseclosecloseclose0.012 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.41508 Detail
WhichBrowser
2.0.10
LenovoA820 4.1.2 weibo 3.5.2 androidmobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.023 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 13:35:44 | by ThaDafinser