Duckle
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL,…
Install
uvx duckle quickstartclaude mcp add duckle -- uvx duckle quickstart{
"mcpServers": {
"duckle": {
"command": "uvx",
"args": [
"duckle",
"quickstart"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Pipelines you own. Author and deploy to your servers or cloud.
Duckle is an open-source ETL platform for teams who want their pipelines running on their own infrastructure. Author on a canvas, in Python or in SQL, then ship the same file to your own server or cloud account: duckle-runner serve runs it headless on a schedule, in Docker or on a box you own, with a web console, roles and an audit trail. Every pipeline is one file in git, so it outlives whoever wrote it. It compiles to SQL on DuckDB and uses every core you give the box, so a bigger instance is a faster pipeline: 96 million rows out of Postgres to Parquet in 39.9s. No vendor cloud. No per-row billing. No lock-in.
Duckle in 49 seconds. The real app on real data, sound on.
https://github.com/user-attachments/assets/8bfac3fa-3f91-4b43-b5d8-a526716c8ef1
Duckle is an independent open-source project by SlothFlowLabs. It builds on the DuckDB engine but is not part of, affiliated with, or endorsed by DuckDB Labs or MotherDuck.
Star Duckle if it looks useful. It genuinely helps other data engineers find the project.
Quick links
Get started
- Where Duckle runs
- What is Duckle?
- What's new in v0.7.4
- What's new in v0.7.3
- What's new in v0.7.2
- What's new in v0.7.1
- What's new in v0.7.0
- What's new in v0.6.1
- What's new in v0.6.0
- Quickstart (60 s)
- Download / Install
- Build from source
- Run your first pipeline
Use the product
- Meet Duckie (AI)
- How to use Duckle
- Recipes / examples
- In-app Git (GitHub/GitLab)
- Workspace + Git flow
- Schedules
- Plans
- Server deployment
- Sign-in and roles
- How a request is decided
- API keys, for machines
- MCP server: connect Claude, Cursor or any agent
- Connection management
- Context variables
Reference
- Capabilities matrix
- Sources
- Transforms
- Sinks
- Data quality
- Custom code
- Control flow
- Advanced settings
- Engines
- Configuration
Resources
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