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distilabel
Python

distilabel

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

by argilla-io · GitHub
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aihuggingfacellmsApache-2.0Python
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Generate synthetic data for AI projects and receive real-time feedback during development.

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3.33k3.31k
2026-07-072026-08-31
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📄 About

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

distilabel has 3.3k stars on GitHub. It has been forked 247 times. distilabel is written mainly in Python. It has been in active development since 2023. distilabel is available under the Apache-2.0 license. Its main topics are ai, huggingface, llms, openai.

Frequently asked questions

What is distilabel?

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Is distilabel open source?

distilabel is an open-source project. It is released under the Apache-2.0 license.

Is distilabel free?

Yes. distilabel is free and open source — you can use, modify and self-host it.

What license does distilabel use?

distilabel is available under the Apache-2.0 license.

What language is distilabel written in?

distilabel is written mainly in Python.

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