User agent detail

python-requests/0.14 CPython/2.6 Linux/2.6-43-server
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_os.yaml
closeLinux 2.6closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
yespython-requestsBot/Crawler0.006 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyespython-requestsclose0.016 Detail
DonatjUAParser
v0.5.1
python-requests 0.14closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Python-requests 0.14closeLinux software-librarycloseclose0.20701 Detail
PiwikDeviceDetector
3.6.1
Python Requests 0.14 GNU/Linux desktop0.007 Detail
SinergiBrowserDetector
6.0.1
closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Python Requests 0.14closeLinux 2.6closeclosecloseclose0.002 Detail
UserAgentApiCom

closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Linux closeclosecloseclosecloseclose0.24501 Detail
WhichBrowser
v2.0.18
Linux closeclose0.004 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 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 08:08:08 | by ThaDafinser