Useragent parser comparison v3

We took 8751 different user agents and analyzed them with all providers below.
That way, it's possible to get a real overview.
Provider Results Browser Engine Operating system Device brand Device model Device type Is mobile Is bot Parse time Actions
BrowscapPhp
6011
7860
7451
7021
7076
1831
2639
7448
6083
409 0.04778 Details
DonatjUAParser
v0.5.0
8285
8285
0
0
0
0
0
0
0 0.00017 Details
PiwikDeviceDetector
3.5.1
8604
7920
7217
7670
6494
6410
7732
6543
356 0.00859 Details
SinergiBrowserDetector
6.0.0
8070
7716
0
7123
0
567
0
5075
221 0.00061 Details
UAParser
v3.4.5
8491
7872
0
7377
5079
6083
0
0
282 0.00476 Details
WhichBrowser
2.0.9
8736
7746
7118
7210
6554
6846
8257
6513
408 0.01553 Details
Woothee
v1.2.0
7850
7067
0
0
0
0
7313
0
248 0.00019 Details
Wurfl
1.6.4
8158
7239
0
7048
4658
5099
7963
6401
195 0.03873 Details

Detected by all providers

Browser names

Rendering engines

Operating systems

Device brands

Device models

Device types

Bot names

Bot types

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 17:09:12 | by ThaDafinser