Dango Documentation¶
Dango is an open-source data platform that integrates dlt + dbt + DuckDB + Metabase into a single, pre-configured stack.
Works on your laptop today. Deploy to the cloud when you're ready.
Quick Start¶
# Install Dango
curl -sSL https://getdango.dev/install.sh | bash
# Initialize your project
dango init
# Add a data source
dango source add
# Sync your data
dango sync
# Start the platform
dango start
What you get:
- Web UI at
http://localhost:8800— monitor your data pipeline - 33 data sources via dlt (25 in the setup wizard)
- dbt for SQL transformations and modeling
- DuckDB as your analytics database
- Metabase for dashboards and SQL queries
- Authentication with user roles and 2FA
- Cloud deployment to DigitalOcean or your own server
- Scheduled syncs with webhook notifications
- Data governance — schema drift detection, PII scanning, data catalog
- Marimo notebooks for ad-hoc analysis
Getting Started¶
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Learn about Dango's architecture, features, and how it works
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Install Dango on macOS, Linux, or Windows
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Get your first data pipeline running in minutes
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Common issues and solutions
Explore¶
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Connect to 33 sources — APIs, databases, files, and more
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Build dbt models to clean and reshape your data
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Create Metabase dashboards and SQL queries
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Deploy to DigitalOcean or your own server
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Authentication, user roles, 2FA, and credentials
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Marimo notebooks for ad-hoc analysis
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Monitor syncs, health, and data quality
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Automated syncs, webhooks, and monitoring
Need Help?¶
- FAQ: Frequently Asked Questions
- GitHub Issues: github.com/getdango/dango/issues
- GitHub Repository: github.com/getdango/dango
- PyPI Package: pypi.org/project/getdango