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.
Details
- Author
- argilla-io
- Category
- Data & Research
- Platform
- GitHub
- Framework
- openai
- Language
- python
- Stars
- 3,160
- First indexed
- 2026-05-15
- Last active
- 2026-04-06
- Directory sync
- 2026-05-15
Overview
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Quick start
git
git clone https://github.com/argilla-io/distilabelSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What distilabel can do
Frequently asked questions
What is distilabel?
How do I install distilabel?
Is distilabel open source?
What are alternatives to distilabel?
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Source & freshness
Profile data for distilabel is sourced from GitHub, published by argilla-io.
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