User agent detail

python-requests/1.2.3 CPython/2.7.3 Linux/3.5.0-23-generic
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_os.yaml
closeLinux 3.5.0closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
yespython-requestsBot/Crawler0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyespython-requestsclose0.012 Detail
DonatjUAParser
v0.5.1
python-requests 1.2.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeLinux closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Python-requests 1.2.3closeLinux software-librarycloseclose0.26302 Detail
PiwikDeviceDetector
3.6.1
Python Requests 1.2 GNU/Linux desktop0.006 Detail
SinergiBrowserDetector
6.0.1
closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Python Requests 1.2closeLinux 3.5.0closeclosecloseclose0 Detail
UserAgentApiCom

closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Linux closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Linux closeclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
closeGNU/Linux closeclosecloseclosecloseclose0.001 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 07:54:01 | by ThaDafinser