User agent detail

Mozilla/5.0 (Java; U; en-us; samsung-sgh-a697) UCBrowser8.2.1.144/69/444/UCWEB Mobile UNTRUSTED/1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close Samsungsgh-a697closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
yesBot/Crawler0.072 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesclose0.061 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla close closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

UC Browser close SamsungA697 Sunburstmobile-browseryescloseclose0.20301 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.2 Samsungsgh-a697smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.2.1close Samsungsgh-a697closeclosecloseclose0.003 Detail
UserAgentApiCom

Mozilla 5.0 closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

UC Browser close closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

UC Browser 8.2.1.144 Samsungcloseclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
UC Browser 8.2Gecko SamsungA697 Sunburstmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Java Applet close UCWebUCBrowserFeature Phoneyescloseclose0.016 Detail
Zsxsoft
1.3
UC Browser 8.2.1.144close Samsungsgh-a697closeclosecloseclosecloseclose0 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 08:00:31 | by ThaDafinser