User agent detail

Python-urllib/3.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_ua.yaml
Python-urllib 3.4 Detail
Providers
BrowscapPhp
6012
yesPython-urllibBot/Crawler0.014 Detail
DonatjUAParser
v0.5.0
Python-urllib 3.4closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Python-urllib 3.4close software-librarycloseclose0.18502 Detail
PiwikDeviceDetector
3.5.2
Python urllib 3.4 0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close closeclosecloseyesPython-urllibclose0.003 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesPython-urllibCrawler0.13201 Detail
WhatIsMyBrowserCom
Python-urllib 3.4 closeclosecloseclosecloseclose0.40304 Detail
WhichBrowser
2.0.10
closeyesPythonclose0.015 Detail
Woothee
v1.2.0
HTTP Library pythoncloseclosecloseclosemiscclosecloseclose0.001 Detail
Wurfl
1.6.4
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 2016-02-13 13:32:30 | by ThaDafinser