distilabel

license

Apache-2.0(OSI)

source

public(argilla-io/distilabel)

governance

Argilla/Hugging Face

core-gated

ungated

Fully OSI-licensed (Apache-2.0), full source public, no proprietary core.

• https://github.com/argilla-io/distilabel/blob/main/LICENSE recorded 2026-08-13

  Apache License Version 2.0 text

• https://raw.githubusercontent.com/argilla-io/distilabel/main/README.md recorded 2026-08-13

  README documents the whole pipeline building and installing from the published repo; no paid tier, enterprise edition or license key appears anywhere in it, so nothing is withheld from the source

16,308 downloads in the trailing 30 days for distilabel, read from the pypistats API, which bands at 10K-100K, level 2 on the software and model adoption scale. Established in the Hugging Face synthetic-data workflow, though the README now says the original authors have moved on and community collaborators maintain the project.

• https://pypistats.org/api/packages/distilabel/recent recorded 2026-08-13

  16,308 downloads in the trailing 30 days for distilabel

Indirect proxy: tool quality inferred from models where distilabel-curated data was the only changed variable. Confidence capped because there is no head-to-head against other synthetic-data frameworks.

• https://huggingface.co/argilla/notus-7b-v1 recorded 2026-08-13

  Notus-7b-v1 (distilabel-recurated UltraFeedback) - 91.42 AlpacaEval against Zephyr-7b-beta 90.60 in the model card table

• https://huggingface.co/argilla/distilabeled-Hermes-2.5-Mistral-7B recorded 2026-08-13

  distilabel Orca-DPO curation, a 54% reduction in samples - 54.04 Nous average against 53.51 for the original full-data recipe