Awesome
azurlane-auto
ALAuto is an Azur Lane automation tool based on kcauto. The tool is written in Python 3 and uses OpenCV for image detection and ADB for input
Features
- Combat Module — Automate Combat
- Commission Module — Automate Commissions
- Mission Module — Automatic mission management
- Retire Module — Automatic retirement of common and rare ships
Requirements
- ADB debugging enabled phone or emulator with 1280x720 resolution
Installation and Usage
- Install Python 3.x
- Clone or download the azurelane-auto repository
- Install the required packages via
pip3
with the commandpip3 install -r requirements.txt
- Run
azurlane-auto
using the commandpython3 azurlane-auto.py
Updating
The preferred method of keeping azurlane-auto up to date is via git. This requires you have a working git installation, have cloned the azurlane-auto repository, and are running azurlane-auto off of said clone.
If you do have git and cloned the azurlane-auto repository, use one of the following command to update to the latest release (master
version) of azurlane-auto:
git pull origin master
orgit pull
If you do not have git or a clone of the azurlane-auto repository, head to the releases page and download the latest tagged version. Overwrite your local azurlane-auto installation with the contents of the new release, taking care to first back up or not overwrite your config file. Note that your config file may need updating to be compatible with new releases.
License
azurlane-auto is WTFPL licensed, as found in the LICENSE file.