User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; en-us; KFTHWI Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.22 like Chrome/34.0.1847.137 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/donatj/phpuseragentparser/Tests/user_agents.json
Silk 3.22 0 Detail
Providers
BrowscapFull
6014
Silk 3.22Blink Android 4.2AmazonKindle Fire HDX 7 WiFiTabletyesyes0.014 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.22closeAndroid closecloseTabletyesyesclose0.022 Detail
DonatjUAParser
v0.5.1
Silk 3.22closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.137closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Amazon Silk 3.22closeAndroid 4.2.2AmazonKFTHWImobile-browseryescloseclose0.27502 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 34.0Blink Android 4.2AmazonKindle Fire HDX 7" WiFitabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.137closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Amazon Silk 3.22closeAndroid 4.2.2AmazonKindle Fire HDX 7" WiFicloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 34.0.1847.137WebKit 537.36closeclosecloseMobileclosecloseclose0.15601 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.07901 Detail
WhatIsMyBrowserCom

Silk 3.22WebKit 537.36Fire OS AmazonKindlecloseclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Silk 3.22Blink FireOS 3AmazonKindle Fire HDXtabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 34.0.1847.137closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.137closeAndroid 4.2.2AmazonKindle Fire HDX 7Tabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Amazon Silk 3.22closeAndroid 4.2.2closeclosecloseclosecloseclose0.001 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 08:04:51 | by ThaDafinser