boundless-aiogram 2.0.0

A modern, production-ready framework for building scalable Telegram bots with Aiogram 3.x

boundless-aiogram

Production-ready Telegram bot framework with CLI scaffolding — powering bots with 1000s of users

boundless-aiogram is a battle-tested bot framework built on top of aiogram 3.x. It provides a complete project structure, CLI tools, and best practices out of the box — so you can focus on building features, not boilerplate.

2,000+ downloads and counting. Used in production bots serving thousands of users.

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🚀 Bots Built With This Framework

Bot	Users	Monthly Activity
Smart English HR	1,200+	100+ applications
Cake Bot	200+	Active daily
+ More in production	—	—

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✨ Features

• 🛠️ CLI Scaffolding — Generate new bot projects instantly
• 📁 Production Structure — Organized handlers, database, utils, languages
• 🗄️ Database Layer — SQLAlchemy + Alembic migrations built-in
• 🌍 Multi-language — i18n support out of the box
• ⚙️ Core Module — Config and middleware ready to go
• 🧪 Test Setup — Testing structure included
• 📤 File Uploads — Upload handling utilities

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📦 Installation

pip install boundless-aiogram

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🚀 Quick Start

Create a New Bot Project

# Generate new project
boundless-aiogram init my-awesome-bot

# Navigate to project
cd my-awesome-bot

# Install dependencies
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env with your bot token

# Run migrations
alembic upgrade head

# Start your bot
python main.py

That's it. You're ready to build.

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📁 Generated Project Structure

my-awesome-bot/
│
├── bot/                    # Bot handlers and logic
│   ├── handlers/          # Message & callback handlers
│   ├── keyboards/         # Inline & reply keyboards
│   ├── states/            # FSM states
│   └── filters/           # Custom filters
│
├── core/                   # Core configuration
│   ├── config.py          # Settings management
│   └── middleware.py      # Bot middleware
│
├── database/               # Database layer
│   ├── models.py          # SQLAlchemy models
│   ├── crud.py            # CRUD operations
│   └── session.py         # DB session management
│
├── languages/              # Internationalization
│   ├── en.py              # English
│   ├── uz.py              # Uzbek
│   └── ru.py              # Russian
│
├── migrations/             # Alembic migrations
│   └── versions/          # Migration files
│
├── utils/                  # Utility functions
│   └── helpers.py         # Common helpers
│
├── tests/                  # Test suite
│
├── main.py                 # Entry point
├── alembic.ini            # Alembic config
├── requirements.txt        # Dependencies
├── .env.example           # Environment template
└── .gitignore             # Git ignore

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🛠️ CLI Commands

Command	Description
boundless-aiogram init <name>	Create new bot project
boundless-aiogram --version	Show version
boundless-aiogram --help	Show help

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🏗️ Architecture

┌─────────────────────────────────────────────────┐
│          BOUNDLESS-AIOGRAM STRUCTURE            │
├─────────────────────────────────────────────────┤
│                                                 │
│   ┌─────────────────────────────────────────┐   │
│   │                BOT                      │   │
│   │   Handlers • Keyboards • States         │   │
│   └────────────────────┬────────────────────┘   │
│                        │                        │
│   ┌────────────────────▼────────────────────┐   │
│   │               CORE                      │   │
│   │       Config • Middleware               │   │
│   └────────────────────┬────────────────────┘   │
│                        │                        │
│   ┌────────┬───────────┴───────────┬────────┐   │
│   │        │                       │        │   │
│   ▼        ▼                       ▼        ▼   │
│ ┌──────┐ ┌────────┐ ┌───────────┐ ┌──────┐    │
│ │Utils │ │Database│ │ Languages │ │Tests │    │
│ │      │ │Alembic │ │   i18n    │ │      │    │
│ └──────┘ └────────┘ └───────────┘ └──────┘    │
│                                                 │
└─────────────────────────────────────────────────┘

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📖 Usage Examples

Basic Handler

from aiogram import Router
from aiogram.filters import Command
from aiogram.types import Message

router = Router()

@router.message(Command("start"))
async def cmd_start(message: Message):
    await message.answer("Welcome! 🚀")

Using Database

from database.crud import create_user, get_user
from database.session import get_session

async def register_user(telegram_id: int, name: str):
    async with get_session() as session:
        user = await create_user(session, telegram_id, name)
        return user

Multi-language Support

from languages import get_text

async def greet(message: Message, lang: str = "en"):
    text = get_text("welcome", lang)
    await message.answer(text)

FSM States

from aiogram.fsm.state import State, StatesGroup

class RegistrationStates(StatesGroup):
    first_name = State()
    last_name = State()
    phone = State()

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⚙️ Configuration

Environment Variables

# Bot
BOT_TOKEN=your-bot-token-from-botfather

# Database
DATABASE_URL=postgresql://user:pass@localhost:5432/mybot
# Or SQLite:
# DATABASE_URL=sqlite:///bot.db

# Settings
ADMIN_IDS=123456789,987654321
DEFAULT_LANGUAGE=en
DEBUG=False

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🗄️ Database Migrations

# Create new migration
alembic revision --autogenerate -m "Add users table"

# Apply all migrations
alembic upgrade head

# Rollback one step
alembic downgrade -1

# View current version
alembic current

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🧪 Testing

# Run tests
pytest

# With coverage
pytest --cov=bot --cov=database

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🚀 Deployment

systemd (Linux)

[Unit]
Description=My Telegram Bot
After=network.target

[Service]
Type=simple
User=ubuntu
WorkingDirectory=/path/to/my-bot
ExecStart=/path/to/venv/bin/python main.py
Restart=always
RestartSec=10

[Install]
WantedBy=multi-user.target

Docker

FROM python:3.12-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .

CMD ["python", "main.py"]

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📊 Why boundless-aiogram?

Feature	boundless-aiogram	Starting from scratch
Project setup	1 command	30+ minutes
Database layer	✅ Included	Manual setup
Migrations	✅ Alembic ready	Manual setup
Multi-language	✅ Built-in	Manual setup
Best practices	✅ Enforced	Hope for the best
Production tested	✅ 1000s of users	Unknown

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🤝 Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/NewFeature)
3. Commit changes (git commit -m 'Add NewFeature')
4. Push to branch (git push origin feature/NewFeature)
5. Open a Pull Request

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📄 License

MIT License - see LICENSE for details.

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📞 Support

• Issues: GitHub Issues
• PyPI: pypi.org/project/boundless-aiogram

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Stop writing boilerplate. Start building bots.