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View guide →Open source ETL/ELT you deploy on your own servers or cloud.
duckle is an open-source ai agents project by slothflowlabs (slothflowlabs/duckle on GitHub). It has 1,427 GitHub stars and 113 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 1 October 2026.
Decide what you want duckle to do first — open source ETL/ELT you deploy on your own servers or cloud. Built on .
The README documents setup; start with the install section.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Working cdc support built in.
Working connectors support built in.
Working data engineering support built in.
Working dbt support built in.
Memory-safe with strong performance.
Commercial use allowed with attribution.
Download the source and move into the project folder.
git clone https://github.com/slothflowlabs/duckle.git
cd duckleCompile the release binary.
cargo build --releaseExecute the built binary.
./target/release/app # binary name may varyYes. It is Apache-2.0 licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under Apache-2.0. Read the LICENSE file in the repo for the exact terms.
Start with the README, then the issue tracker on the GitHub repo at slothflowlabs/duckle, where maintainers and users answer questions.
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