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Getting Started

Welcome to the Dango Getting Started guide! This section will help you install Dango, understand what it does, and get your first data pipeline running.

Overview

Dango is an open-source data platform that integrates dlt, dbt, DuckDB, and Metabase into a single, cohesive platform. It's designed to work on your laptop today and scale to production infrastructure tomorrow.

What You'll Learn

  • What is Dango?

    Learn about Dango's architecture, features, and the problems it solves

  • Installation

    Step-by-step installation guide for macOS, Linux, and Windows

  • Quick Start

    Get your first data pipeline running in under 10 minutes

  • Troubleshooting

    Solutions to common installation and runtime issues

Prerequisites

Before installing Dango, you'll need:

  • Python 3.10-3.12 (Python 3.11 or 3.12 recommended)
  • Docker Desktop (required for Metabase and Web UI)
  • 10GB free disk space (recommended)
curl -sSL https://getdango.dev/install.sh | bash

curl -sSL https://getdango.dev/install.sh | bash

irm https://getdango.dev/install.ps1 | iex

Full installation instructions →

What's Next?

After installation:

  1. Quick Start - Get your first pipeline running
  2. Core Concepts - Understand Dango's architecture
  3. Data Sources - Connect to your data sources
  4. Transformations - Transform data with dbt

Need Help?

If you run into issues:

  1. Check the Troubleshooting guide
  2. Search GitHub Issues
  3. Open a new issue if you can't find a solution