🚀 Stackgen CLI

Stackgen is a developer-first CLI tool to bootstrap production-ready data engineering projects in seconds.

Build batch, streaming, or full data pipelines with a single command.

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✨ Features

• ⚡ Generate complete data engineering project scaffolds
• 🧠 Supports Batch, Streaming, and Full pipelines
• 🐳 Built-in Docker-based infrastructure setup
• 🔄 Includes Spark, Kafka, Airflow integrations
• 🎯 Interactive CLI with clean UX
• 🧩 Template-based architecture (Jinja2)

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🧱 Supported Pipelines

🟢 Batch Pipeline

• Apache Spark (batch jobs)
• Apache Airflow (orchestration)

🔴 Streaming Pipeline

• Apache Kafka (event streaming)
• Spark Structured Streaming

🔥 Full Pipeline

• Batch + Streaming combined

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⚡ Install

pip install stackgen-cli

🚀 Quickstart

stackgen init my-project

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CLI Experience

? Select pipeline type:
❯ Batch Pipeline (Spark + Airflow)
  Streaming Pipeline (Kafka + Spark)
  Full Pipeline (Spark + Airflow + Kafka)

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Run Generated Project

cd my-project
docker-compose up

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📁 Example Generated Structure

my-project/
├── airflow/           # DAGs
├── spark/jobs/        # Batch & streaming jobs
├── kafka/             # Kafka producer (if streaming)
├── config/            # Config files
├── docker-compose.yml
└── requirements.txt

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🛠️ Tech Stack

• Python
• Apache Spark
• Apache Kafka
• Apache Airflow
• Docker
• Jinja2 (templating)

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🧠 How It Works

1. CLI collects user input (pipeline type)
2. Generator builds project structure
3. Jinja templates render files dynamically
4. Docker setup enables instant execution

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🛣️ Roadmap

• Feature toggles (Kafka / Airflow selection)
• Config-driven generation (YAML support)
• Cloud integrations (S3, Snowflake, BigQuery)
• Plugin system for custom stacks
• CI/CD pipeline templates

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🤝 Contributing

Contributions are welcome! Feel free to open issues or submit PRs.

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📌 Vision

Stackgen aims to become a go-to CLI tool for data engineers to quickly bootstrap scalable and production-ready data platforms.

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👨‍💻 Author

Minhaz Alam

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⭐ Support

If you like this project, give it a ⭐ on GitHub!