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Changelog

Version history and release notes for Dango.

Version Numbering

Dango follows Semantic Versioning:

  • MAJOR.MINOR.PATCH (e.g., 0.1.0)
  • MAJOR: Breaking changes
  • MINOR: New features (backwards compatible)
  • PATCH: Bug fixes

Current Version

v0.1.0 (Current)

Released: December 17, 2025

Status: MVP Release - First stable release for early adopters

This is the v0.1.0 MVP release marking Dango as ready for early adopters.

What's New in v0.1.0

  • Google Ads - Full OAuth support (tested and working)
  • Shorter install URLs - Now available at getdango.dev/install.sh
  • Windows support - Fully tested and documented

Features

Data Ingestion - 8 wizard-supported data sources with guided setup - CSV files - Stripe - Google Sheets - Google Analytics (GA4) - Facebook Ads - Google Ads - REST API - dlt Native - 25+ additional sources via dlt native configuration - File watcher for automatic CSV sync - OAuth authentication for Google and Facebook

Transformations - Auto-generated dbt staging models - Support for custom intermediate and mart models - dbt test integration - dbt docs generation

Storage - DuckDB warehouse - Automatic schema management - Incremental loading support

Visualization - Metabase integration - Auto-provisioned dashboards - Dashboard export/import

CLI - 30+ CLI commands - Web UI for monitoring - Source management wizard

Known Limitations

  • Local deployment only (cloud support planned)
  • Single-user (no team features)
  • Shopify source blocked due to OAuth issue

Previous Releases

v0.0.5

Released: December 8, 2025

  • dango sync --dry-run to preview without executing
  • Unreferenced custom sources warning
  • Better validation output (database check, model count)

Planned Releases

v0.2.0 (Planned)

Target: Q2 2025

Focus: Production readiness

Planned features: - [ ] Production deployment guides - [ ] Team collaboration features - [ ] Enhanced monitoring - [ ] Performance optimizations

Future

  • Cloud deployment options
  • More data source wizards
  • Scheduling and orchestration
  • Enterprise features

Upgrade Guide

Upgrading Dango

# Check current version
dango --version

# Upgrade to latest
pip install --upgrade getdango

# Verify upgrade
dango --version

Breaking Changes

When a release has breaking changes, we'll document: 1. What changed 2. How to migrate 3. Deprecation timeline

Release Process

How Releases Work

  1. Features developed on feature branches
  2. Merged to main after review
  3. Tagged releases published to PyPI
  4. Release notes added to this changelog

Release Cadence

  • Patch releases: As needed for bug fixes
  • Minor releases: Monthly or as features complete
  • Major releases: When breaking changes are necessary

Contributing

Want to contribute to the next release?

See the Contributing Guide for details.