Alita is a Telegram Group managment bot made using Pyrogram async version and Python, which makes it modern and faster than most of the exisitng Telegram Chat Managers.

Alita's features over other bots:

• Modern
• Fast
• Fully asynchronous
• Fully open-source
• Frequently updated
• Multi Language Support

Can be found on Telegram as @Alita_Robot

Alita is currently available in 1 Language as of now:

• US English

More languages can be managed in the locales folder.

We are still working on adding new languages.

Help us bring more languages to the bot by contributing to the project on Crowdin

• You need to have a Mongo Database (Cluster Preferred)
• Linux/Windows machine (Ubuntu/Debain-based OS Preferred or Windows 10/Server2016 and later)

First Step!

• Star ⭐ the repository!!

It really motivates me to continue this project further.

• Get your API_ID and API_HASH from here
• Get your Bot Token from @BotFather

Note: By default the bot uses the default heroku-20 stack.

• Install Python v3.7 or later from Python's Website
• Install virtualenv using python3 -m pip -U install virtualenv.
• Fork or Clone the project using git clone https://github.com/DivideProjects/Alita_Robot.git
• Create Virtualenv using: virtualenv venv
• Install the requirements using python3 -m pip install -r requirements.txt
• Fill in all the variables in Development class, not Config class. Sudo, Dev, Whitelist users are optional!!
• Change to virtualenv shell by using: . venv/bin/activate (Linux) venv\Scripts\activate (Windows)
• Run the bot using python3 -m alita

• Clone the repo and enter into it
• Install Docker
• Fill in the sample.env file and rename it to main.env.
• Build the docker image using: docker build -t alita_robot:latest . (The dot '.' at last is necessary!)
• Run the command docker run --env-file main.env alita_robot

If all works well, bot should send message to the MESSAGE_DUMP Group!

• Make sure your PR works and doesn't break anything.
• You must join the support group.
• Make sure it passes test using make test.

• AmanoTeam for EduuRobot as that helped me make the translation engine.
• Dan for his Pyrogram library
• Paul Larsen for his Original Marie Source Code.
• Everyone else who inspired me to make this project, more names can be seen on commits!

• Copyright (C) 2020-2021 by Divkix ❤️️
• Licensed under the terms of the GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 29 June 2007