kitty-scaffold 0.1.2

A professional project scaffolding tool for Python developers - quickly bootstrap AI, Data Science, Research, and Backend projects

🐱 Kitty - Project Scaffolding Tool

Stop wasting time on boilerplate. Start building.

Kitty is a professional CLI tool that instantly scaffolds standardized project structures for Data Science, AI/ML, Research, Backend APIs, and Automation projects.

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🚀 Why Kitty?

Every developer faces the same problem: starting a new project means spending hours setting up folder structures, configuration files, and boilerplate code.

Kitty solves this by providing battle-tested project templates that follow industry best practices:

• ✅ Data Science - Structured for reproducible research
• ✅ AI/ML Applications - Production-ready ML pipelines
• ✅ Research Projects - Academic workflow with notebooks & papers
• ✅ Backend APIs - Clean architecture with FastAPI
• ✅ Automation Scripts - Modular automation tools

No more Googling "how to structure a Python project" — Kitty gives you the answer.

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📦 Installation

pip install kitty-scaffold

Requirements: Python 3.8 or higher

That's it. No configuration needed. Works on Windows, macOS, and Linux.

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🎯 Quick Start

See All Available Templates

kitty list

Create Your First Project

# Create a Data Science project
kitty init ds my_data_project
cd my_data_project

You get:

my_data_project/
├── data/
│   ├── raw/          # Original data (never modified)
│   ├── interim/      # Intermediate processing
│   └── processed/    # Final datasets
├── notebooks/
│   ├── 01_eda.ipynb
│   ├── 02_features.ipynb
│   └── 03_modeling.ipynb
├── src/              # Reusable Python modules
├── reports/figures/
├── requirements.txt
└── README.md

Create an AI/ML Application

kitty init ai chatbot_app

You get:

chatbot_app/
├── src/
│   ├── models/       # Model architectures
│   ├── training/     # Training scripts
│   ├── inference/    # Prediction code
│   └── data/         # Data loaders
├── notebooks/        # Experiments
├── models_saved/     # Checkpoints
├── config/
└── tests/

Create a Backend API

kitty init backend api_server

You get:

api_server/
├── src/app/
│   ├── api/          # Routes & endpoints
│   ├── services/     # Business logic
│   ├── models/       # Data models
│   ├── core/         # Config & security
│   └── main.py
├── tests/
├── .env.example
└── requirements.txt

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🛠️ All Commands

Command	Description
kitty init <type> <name>	Create a new project
kitty list	List all available templates
kitty help	Show help information

Available Templates

Template	Use Case	Key Features
ds	Data Science & Analytics	Jupyter notebooks, data pipeline, reproducible workflows
research	Academic Research	Paper drafts, experiments tracking, LaTeX-ready
backend	REST APIs & Services	FastAPI structure, database models, testing setup
ai	ML/AI Applications	Model training, inference, config management
automation	Scripts & Pipelines	Modular architecture, logging, config files

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💡 Examples

# Data Science project
kitty init ds customer_churn_analysis

# Research project
kitty init research quantum_computing_study

# Backend API
kitty init backend ecommerce_api

# AI application
kitty init ai image_classifier

# Automation tool
kitty init automation data_pipeline

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🎓 Philosophy

Kitty follows these principles:

1. Convention over Configuration - Sensible defaults, zero setup
2. Industry Best Practices - Structures used by top companies
3. Reproducibility - Clean separation of data, code, and outputs
4. Developer Experience - Get started in seconds, not hours

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🤝 Contributing

Contributions are welcome! To add a new template or improve existing ones:

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

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📝 License

MIT License - see LICENSE file for details.

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🌟 Why This Matters

Most students and developers copy-paste project structures from tutorials or old projects. This leads to:

• ❌ Inconsistent organization
• ❌ Missing best practices
• ❌ Hard-to-maintain code
• ❌ Wasted time on setup

Kitty gives you a professional starting point, so you can focus on building, not organizing.

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📊 Who Uses This?

Perfect for:

• 🎓 Students working on projects
• 🏆 Hackathon participants
• 🔬 Researchers running experiments
• 💼 Professionals starting new services
• 🚀 Developers building MVPs

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🔗 Links

• GitHub: bisal2003/Python_kitty
• Documentation: Full README
• Issues: Report bugs
• PyPI: kitty-scaffold

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⚡ What's Next?

After installation, verify it works:

# Check installation
kitty --help

# List all templates
kitty list

# Create your first project
kitty init ds my_project

Pick a template and start building. Your next great project is one command away.

🐛 Troubleshooting

Command not found after install?

• Make sure Python's Scripts directory is in your PATH
• Try: python -m pip install --upgrade kitty-scaffold
• Restart your terminal

Need help? Open an issue

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Made with ❤️ for developers who value their time.