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

• Combat Module — Automate Combat
• Commission Module — Automate Commissions
• Mission Module — Automatic mission management
• Retire Module — Automatic retirement of common and rare ships

• ADB debugging enabled phone or emulator with 1280x720 resolution

1. Install Python 3.x
2. Clone or download the azurelane-auto repository
3. Install the required packages via pip3 with the command pip3 install -r requirements.txt
4. Run azurlane-auto using the command python3 azurlane-auto.py

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 or git 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.

azurlane-auto is WTFPL licensed, as found in the LICENSE file.