getdango 1.0.0b7

Open source data platform built with production-grade tools - dlt, dbt, DuckDB, and Metabase

Dango

Open-source data platform for small teams.

Dango gives you a complete data stack — ingestion, warehouse, transformations, and dashboards — in a single CLI. It combines dlt for data loading, DuckDB as the analytics database, dbt for SQL transformations, and Metabase for dashboards. One pip install, one command to start.

Beta Release: Dango v1 is currently in beta (v1.0.0b7). We'd love your feedback — report issues or join the discussion.

Upgrading from v0.1.x? v1.0.0 is a complete rewrite. Back up your data and run dango init to create a new v1 project. See the migration guide for details.

Quick Start

Prerequisites: Python 3.10-3.12, Docker (for Metabase)

mkdir my-project && cd my-project
pip install --pre getdango
dango init
dango start

Open http://localhost:8800 to see your data platform.

Or use the install script:

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

For detailed installation instructions, see the documentation.

Features

• 33 data sources — Stripe, Google Sheets, Google Analytics, Shopify, PostgreSQL, MySQL, CSV, REST APIs, and more
• Auto-generated dbt models — staging models created automatically when you add a source
• Web dashboard — monitor syncs, browse your data catalog, manage sources
• Metabase integration — dashboards and SQL queries, auto-configured and ready to use
• Cloud deployment — deploy to DigitalOcean or any server with dango deploy
• Authentication — admin login, user management, 2FA, API keys
• Schema drift detection — get alerted when source schemas change
• PII scanning — detect personally identifiable information across your tables
• Notebooks — Marimo notebooks connected to your DuckDB warehouse
• Monitoring — metric tracking with trend detection and drill-downs
• Scheduled syncs — cron-based scheduling with retry and timeout handling
• Webhooks — Slack notifications for sync results and alerts
• File watcher — auto-sync when CSV files change on disk

Architecture

Sources  →  dlt  →  DuckDB  →  dbt  →  Metabase
(APIs,       (load)  (warehouse) (transform) (dashboards)
 CSVs,
 databases)

All data stays local in DuckDB. No external warehouse needed.

Tech Stack

Component	Tool	Role
Ingestion	dlt	Load data from 33+ sources
Warehouse	DuckDB	Embedded analytics database
Transformation	dbt	SQL modeling and testing
Dashboards	Metabase	BI and SQL queries
Web UI	FastAPI	Monitoring and management
Containers	Docker	Metabase and service orchestration

Documentation

Full documentation at docs.getdango.dev.

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

Apache 2.0 — see LICENSE for details.

Links

• PyPI
• Changelog
• Issues