kitty-scaffold 0.1.1

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-scaffolding

That's it. No configuration needed.

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🎯 Quick Start

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
ds	Data Science projects with notebooks and analysis
research	Academic research with experiments and papers
backend	FastAPI/Flask backend with clean architecture
ai	AI/ML applications with training & inference
automation	Script-based automation tools

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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

• Documentation: GitHub README
• Issues: Report bugs
• PyPI: kitty-scaffolding

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⚡ What's Next?

After installation, run:

kitty list

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

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Made with ❤️ for developers who value their time.