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Your Complete Data Platform.
Free and Open Source, Always Yours.

Name: Dango
Author: Dango

One command to install. First dashboard in minutes.

Built on dlt, dbt, DuckDB, and Metabase.

In active development. Not yet ready for production use.

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

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

Try Dango Quick Start Guide

Dango Web UI showing data pipeline monitoring dashboard

You Have the Skills. You Deserve the Tools.

You understand data. You want reliable, production-ready infrastructure—but evaluating and integrating tools takes weeks you don't have. Managed platforms charge hundreds per month with strict usage limits.

Data infrastructure shouldn't be a privilege. It should be a standard.

Dango gives you all four—dlt, dbt, DuckDB, Metabase—integrated and configured to work together. You get the platform your skills deserve: production-grade tools, zero cost, fully yours.

Install in Seconds. Dashboards in Minutes.

Four simple steps from zero to insights.

Install

One curl command. All components are pre-configured and integrated—no manual setup.

Connect Data

Guided setup for CSV, Stripe, Google Sheets, GA4, Google Ads, and Facebook Ads. Or access 30+ additional dlt connectors.

Sync

Start the sync from web UI or command line. Data loads and transforms automatically.

Analyze

Open Metabase to explore your data. Query, visualize, and build dashboards immediately.

Dango CLI installation wizard showing guided project setup

Why Dango?

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From Zero to Dashboard in Minutes

Install once, skip weeks of tool evaluation and integration. Start analyzing immediately.

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Free, Open, and Fully Yours

No licensing fees, vendor lock-in, or permission needed. Modify the code, keep your data, choose your infrastructure.

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Built on Tools Thousands Trust

Industry-standard open source: dlt, dbt, DuckDB, and Metabase. Active communities, extensive docs, transferable skills.

Everything You Need to Go From Data to Insights

Data Integration

Guided setup for CSV, Stripe, Google Sheets, GA4, Google Ads, and Facebook Ads. Built on dlt for extensibility—connect any REST API or access 30+ additional connectors.

Data Transformation

SQL-based transformations with dbt. Version-controlled models, built-in testing, automatic documentation—your business logic is tracked and documented, not tribal knowledge.

Analytics Database

DuckDB provides a fast, embedded analytics database that handles millions of rows locally. Full SQL interface for querying and analysis. No separate database server required.

Visualization & Analysis

Metabase gives you interactive dashboards, a SQL query interface, and chart building. Explore your data, build visualizations, and share insights with stakeholders.

Automation & Monitoring

Automatic file watching syncs data when files change. Web UI provides live monitoring and health dashboards, CLI for running syncs and transformations on demand.

Platform

Web UI and CLI for managing syncs, transformations, and system health. Runs on your laptop today. Future roadmap: workflow orchestration, data governance, and notebooks.

Starting Simple. Built to Scale. Growing With Your Feedback.

Dango is in active development. The platform works today for local analytics workflows, with planned support for team collaboration, cloud deployment, and advanced features.

Where we're headed: workflow orchestration to automate dlt and dbt runs, data governance, and analytical notebooks. Your feedback helps us prioritize what to build next.

Join us in building data infrastructure for everyone.

Get Started Shape the Roadmap

Common Questions

How is this different from just installing dbt and Metabase myself?

Dango handles the integration: dlt → DuckDB → dbt → Metabase, all auto-configured with monitoring included. Install once, everything works together—no configuration debugging.

Isn't this just Docker Compose with some tools?

Yes—plus the integration work, configuration, best practices, and ongoing compatibility maintenance. The hard part isn't running containers; it's making everything work together seamlessly.

Why use Dango instead of free tiers from enterprise platforms?

Dango is fully open source—you own the code, control your data, and face no upgrade pressure or artificial limits. What you build today works the same way at any scale, on infrastructure you control.

What's the catch? Why is it free?

Dango is a passion project built to make professional open source data tools accessible to small teams who need them most. It's Apache 2.0 licensed—free forever, no strings attached. We believe analytics infrastructure shouldn't be reserved for companies with enterprise budgets.

Can I use this in production today?

Not yet. Dango is in active development—the platform works for local analytics workflows, but we're still building toward production-ready features like scheduling, advanced monitoring, and cloud deployment guides. Early adopters can use it for non-critical workloads and help shape what production-ready means.

Will this scale as we grow?

Dango uses production-grade tools (dlt, dbt, DuckDB, Metabase). Runs on your laptop today—DuckDB handles millions of rows locally. Cloud deployment support planned for v1.0.

Can I customize or extend Dango?

Absolutely. It's open source—fork it, modify it, extend it. Customize any component or add your own integrations.

What features will Dango NOT support?

Dango focuses on small-to-medium data teams (1-5 people) and their core analytics needs. We're not building for petabyte-scale infrastructure, real-time streaming, or ML/AI modeling. Our roadmap evolves based on user feedback and what small teams need most.

Still have questions?

Join our community →

Your Complete Data Platform. Free and Open Source, Always Yours.