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Duckle

Free

★ 1 • Updated Jul 16, 2026, 03:16 PM

Duckle is an open-source platform that transforms DuckDB into a visual ETL (Extract, Transform, Load) environment.

Use Cases ▼

Data analysts building ETL pipelines without writing SQL

Rapid prototyping of data transformations

Loading CSV, JSON, or Parquet files into DuckDB for analysis

Creating visual data workflows for ad-hoc analysis

Migrating data between different formats via a graphical interface

Building data marts with visual transformation steps

What Problem It Solves ▼

Duckle solves the problem of requiring programming skills to build ETL pipelines with DuckDB. By providing a visual interface, it enables users without coding expertise to create, manage, and execute data transformations, thereby lowering the barrier to entry for leveraging DuckDB's analytical capabilities.

Key Features ▼

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Free and open-source

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Visual interface reduces learning curve

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Leverages DuckDB's fast in-process SQL execution

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No external dependencies beyond DuckDB

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Easy to deploy and use locally

Overview

Duckle is an open-source platform that transforms DuckDB into a visual ETL (Extract, Transform, Load) environment. It offers a graphical interface for designing data pipelines, allowing users to connect to various data sources, apply transformations, and load data into destinations without writing code. The platform leverages DuckDB's high-performance in-process SQL engine to execute these operations efficiently. Duckle is designed to make data integration accessible to a broader audience, from data analysts to business users, by providing an intuitive drag-and-drop or flow-based workflow builder. The project aims to bridge the gap between the raw power of DuckDB and users who prefer visual tools over writing SQL scripts. As an open-source solution, it can be self-hosted and customized to fit specific data pipeline requirements.