User agent detail

Python-urllib/2.6
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-900.php
yesPython-urllibBot/Crawler0 Detail
Providers
BrowscapFull
6014
yesPython-urllibBot/Crawler0.008 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesPython-urllibclose0.017 Detail
DonatjUAParser
v0.5.1
Python-urllib 2.6closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

Python-urllib 2.6close software-librarycloseclose0.21801 Detail
PiwikDeviceDetector
3.6.1
Python urllib 2.6 0.004 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close closeclosecloseyesPython-urllibclose0.003 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesPython-urllibCrawler0.063 Detail
WhatIsMyBrowserCom

Python-urllib 2.6 closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
closeyesPythonclose0.007 Detail
Woothee
v1.2.0
HTTP Library pythonclosecloseclosecloseclosecloseclose0 Detail
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
No result found

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 07:56:40 | by ThaDafinser