User agent detail

python-requests/1.2.3 CPython/2.7.3 Linux/3.5.0-23-generic
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_os.yaml
Linux 3.5.0 Detail
Providers
BrowscapPhp
6012
yespython-requestsBot/Crawler0.01 Detail
DonatjUAParser
v0.5.0
python-requests 1.2.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Python-requests 1.2.3closeLinux software-librarycloseclose0.18502 Detail
PiwikDeviceDetector
3.5.2
Python Requests 1.2 GNU/Linux desktop0.006 Detail
SinergiBrowserDetector
6.0.0
closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Python Requests 1.2closeLinux 3.5.0closeclosecloseclose0.005 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Linux closeclosecloseclosecloseclose0.62406 Detail
WhichBrowser
2.0.10
Linux closeclose0.015 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 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 13:36:12 | by ThaDafinser