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duckle
Open-source local-first ETL/ELT studio: build visual data pipelines with 360+ components (dbt, data quality, CDC, streaming, SaaS APIs), run at native DuckDB speed, and generate pipelines from plain English with an on-device AI assistant. No cloud, no lock-in.
mcp
01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Open-source local-first ETL/ELT studio: build visual data pipelines with 360+ components (dbt, data quality, CDC, streaming, SaaS APIs), run at native DuckDB speed, and generate pipelines from plain E
Topics: cdc, connectors, data-engineering, data-integration, data-pipeline
GitHub stars: 783
Last pushed: 2026-07-13
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-07-13T14:28:10Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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