Duckle icon
Duckle icon

Duckle

A visual data pipeline studio that runs on your laptop. Drag sources, transforms, validators, and sinks onto a canvas. Wire them together. Press Run. Duckle compiles the graph to SQL and executes it through a real columnar engine, with live previews, generated SQL on every node...

Duckle screenshot 1

Cost / License

Platforms

  • Mac  chmod +x Duckle-macos-arm64 && ./Duckle-macos-arm64. Right-click - Open the first time to bypass Gatekeeper.
  • Windows  Double-click. Unsigned binary - Windows SmartScreen will warn the first time; click "More info" - "Run anyway".
  • Linux  chmod +x Duckle-linux-x64 && ./Duckle-linux-x64. Requires WebKitGTK 4.1 (libwebkit2gtk-4.1-0 on Debian / Ubuntu).
  • Docker  docker pull ghcr.io/slothflowlabs/duckle-web:v0.5.7
  • Self-Hosted
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Duckle information

  • Developed by

    US flagSlothFlowLabs
  • Licensing

    Open Source (Apache-2.0) and Free product.
  • Written in

  • Alternatives

    16 alternatives listed
  • Supported Languages

    • English
    • Abkhaz
    • Arabic
    • French
    • Japanese
    • Chinese
    • Polish

AlternativeTo Category

Development

GitHub repository

  •  906 Stars
  •  73 Forks
  •  57 Open Issues
  •   Updated  
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Duckle was added to AlternativeTo by SlothFlowLabs on and this page was last updated .
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What is Duckle?

A visual data pipeline studio that runs on your laptop. Drag sources, transforms, validators, and sinks onto a canvas. Wire them together. Press Run. Duckle compiles the graph to SQL and executes it through a real columnar engine, with live previews, generated SQL on every node, and zero hidden state.

In short: a free, open-source, single-engine alternative to hosted, per-row-priced ETL platforms like Fivetran and Airbyte - one pipeline for ingest, transform, and load that runs anywhere, and can also run dbt on DuckDB inside the same tool.

Three things make Duckle different from the heavyweights and the toy ETL tools:

An AI assistant that ships in the box. Describe the pipeline you want in English; Duckie writes the JSON and drops it onto the canvas. The model runs locally - no API key, no telemetry, no cloud round-trip. 356 components ready at install time. Files, lakehouses, SQL databases, warehouses, NoSQL, vector DBs, streaming brokers, SaaS REST/GraphQL APIs, even FTP and IMAP - working today, not coming-soon. A self-contained binary you can audit. ~100 MB download. Engines install on first launch. Workspaces are plain files in a folder you choose. Diff them, branch them, ship them.

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