User agent detail

Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7l Lynxlet/0.7.0

Detected by 7 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Lynx 2.8 Linux Desktop Detail
DonatjUAParser
v0.5.0
Lynx 2.8.6rel.4closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Lynx 2.8Text-based Detail
SinergiBrowserDetector
6.0.0
Lynx 2.8.6rel.4close closecloseclosecloseclose Detail
UAParser
v3.4.5
Lynx 2.8.6close closeclosecloseclose Detail
WhichBrowser
2.0.9
Lynx 2.8.6 closeclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close LynxBrowserOther Non-Mobilecloseclose 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 2016-01-26 16:39:13 | by ThaDafinser