User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.4; zh-cn; HTC T528d) AndroidWebKit/534.30 (KHTML, Like Gecko) FlyFlow/2.3 Version/4.0 Mobile Safari/534.30 baidubrowser/042_6.82.3.2_diordna_008_084/cth_51_4.0.4_d825T-CTH/1000841l/70CBC38FFA9AC4C2AAB45DEB49569A0A|9A056D2300001A/1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close HTCT528dclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
Version 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.0.4closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Baidu Browser 2.3closeAndroid 4.0.4HTCOne SCmobile-browseryescloseclose0.30402 Detail
PiwikDeviceDetector
3.6.1
Baidu Browser 042KHTML Android 4.0HTCT528dsmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.0.4closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Baidu Browser 42closeAndroid 4.0.4HTCT528dcloseclosecloseclose0.002 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 534.30closecloseclosecloseclose0.081 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 4.0.4closeclosecloseclosecloseclose0.42102 Detail
WhichBrowser
v2.0.18
Baidu Browser 2.3Webkit 534.30Android 4.0.4HTCOne SCmobile:smartyescloseclose0.005 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.0.4closeAndroid 4.0.4HTCT528dSmartphoneyesyescloseclose0.023 Detail
Zsxsoft
1.3
Baidu Browser 042closeAndroid 4.0.4HTCT528dcloseclosecloseclosecloseclose0.002 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 07:57:15 | by ThaDafinser