Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Generate synthetic data for AI projects and receive real-time feedback during development.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeDistilabel 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.
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 is an open-source project. It is released under the Apache-2.0 license.
Yes. distilabel is free and open source — you can use, modify and self-host it.
distilabel is available under the Apache-2.0 license.
distilabel is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/argilla-io-distilabel.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.