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1. Install mailspring chrome os mac os#
2. Install mailspring chrome os install#
3. Install mailspring chrome os android#
4. Install mailspring chrome os code#

There are already a few ports of this tool to other languages: secondary_client_version () # > 5.22 Device Detector for other languages secondary_client_type () # > generic device. secondary_client_name () # > EtsyInc device.

Install mailspring chrome os mac os#

device_type () # > '' # Many mobile browser UA strings contain the app info of the APP that's using the browser ua = 'Mozilla/5.0 (iPhone CPU iPhone OS 12_1_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/16D57 EtsyInc/5.22 rv:52200.62.0' device = DeviceDetector ( ua ).

Install mailspring chrome os android#

from device_detector import SoftwareDetector ua = 'Mozilla/5.0 (Linux Android 6.0 4Good Light A103 Build/MRA58K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/.83 Mobile Safari/537.36' device = SoftwareDetector ( ua ). device_type () # > smartphone # For much faster performance, skip Bot and Device Hardware Detection # and extract get OS / App details only.

parse () # Use helper methods to extract data by attribute device. Usage from device_detector import DeviceDetector ua = 'Mozilla/5.0 (Linux Android 4.3 C5502 Build/10.4.1.B.0.101) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/.136 Mobile Safari/537.36' # Parse UA string and load data to dict of 'os', 'client', 'device' keys device = DeviceDetector ( ua ). The mrab regex module is preferred if installed.

Install mailspring chrome os install#

Pip install device_detector Performance OptionsĬSafeLoader is used if pyyaml is configured -with-libyaml. However, it uses the original regex yaml files, to benefit from updates and pull request to both the original and the ported versions.

Install mailspring chrome os code#

This port is not an exact copy of the original code some Pythonic adaptations were used.

This project originated as a Python port of the Universal Device Detection library. The DeviceDetector is optimized for speed of detection, by providing optimized code and in-memory caching. DeviceDetector detects thousands of user agent strings, even from rare and obscure browsers and devices. DeviceDetector is a precise and fast user agent parser and device detector written in Python, backed by the largest and most up-to-date user agent database.ĭeviceDetector will parse any user agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model.