User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; PMP7170B3G Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.90 Safari/537.36

Detected by 8 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 27.0WebKit Android 4.0Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 27.0.1453.90closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 27.0WebKit Android 4.0PrestigioPMP7170B3Gtabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 27.0.1453.90closeAndroid 4.0.4closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 27.0.1453closeAndroid 4.0.4PrestigioPMP7170B3Gcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 27Blink 537.36Android 4.0.4PrestigioMultipad 7.0 Prime 3Gtabletyescloseclose Detail
Woothee
v1.2.0
Chrome 27.0.1453.90closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 27closeAndroid 4.0PrestigioPMP7170B3GTabletyesyescloseclose 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 2016-01-26 16:40:50 | by ThaDafinser