Device Detector

The library for parsing User Agent and browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), vendor and model detection. Currently it is an alpha-version and haven't been tested on production yet. The Library uses regexes from matomo-org/device-detector.

Installation

Add this to your application's shard.yml:

dependencies:
  device_detector:
    github: creadone/device_detector

Then run shards install

Usage

require "device_detector"

user_agent = "Mozilla/5.0 (Windows NT 6.4; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36 Edge/12.0"
response = DeviceDetector::Detector.new(user_agent).call  # All parsers
response = DeviceDetector::Detector.new(user_agent).lite  # Only for bot and mobile

# Check if browser detected
response.browser? #=> true

# browser name
response.browser_name #=> Microsoft Edge

# browser version
response.browser_version #=> 12.0

# get raw response with
pp response.raw

[{
    "bot" => {
      "name" => ""
    }
  },
  {
    "browser" => {
      "name" => "", "version" => ""
    }
  },

  {...},

  {
    "vendorfragment" => {
      "vendor" => ""
    }
  }
]

Available methods:

Benchmarks

Recent benchmarking of parsing 1000 user-agent strings on a MacBook Air with Intel Core i5 dual core (0.8 Ghz per core):

Crystal 0.30.1 (2019-08-13) LLVM: 8.0.1 Default target: x86_64-apple-macosx

bench/raw_response.cr --release
            user     system      total        real
full:   5.880000   0.060000   5.940000 (  5.940340)
lite:   3.880000   0.040000   3.920000 (  3.953958)

It's mean that device_detector can work with 1000 / 5.9 ~ 169 QPS.

Testing

crystal spec

Update regexes

crystal scripts/update_regexes.cr

Contributing

1. Fork it ( https://github.com/creadone/device_detector/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

Contributors

• @creadone Sergey Fedorov - creator, maintainer
• @delef Ivan Palamarchuk - new api, code optimization