SHSelfHostIndex
DI

distilabel

Framework for synthetic data generation and AI feedback

Self-Hosted AI ★ 3.4k stars Medium setup Apache-2.0

distilabel is a Python framework for building scalable synthetic data and AI-feedback pipelines for training and evaluating language models. It supports many LLM providers and can be self-hosted for local dataset generation.

Official siteSource code

Key features

  • Synthetic data pipelines
  • AI feedback workflows
  • Many LLM integrations
  • Caching and scaling

Strengths

  • Released under the Apache-2.0 license
  • Active community (3.4k GitHub stars)
  • Written in Python

Is distilabel secure?

OSV.dev has no published security advisories for distilabel's repository. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

Source: OSV.dev, checked 2026-10-14. How this is measured.

distilabel replaces

Self-hosted Scale AI alternatives

Health badge

Maintain distilabel? Add its health score to your README. The badge links back to this page.

SelfHostIndex: 72 · good

Markdown
[![SelfHostIndex health score for distilabel](https://selfhostindex.com/badge/distilabel.svg)](https://selfhostindex.com/app/distilabel/)
HTML
<a href="https://selfhostindex.com/app/distilabel/"><img src="https://selfhostindex.com/badge/distilabel.svg" alt="SelfHostIndex health score for distilabel"></a>
reStructuredText
.. image:: https://selfhostindex.com/badge/distilabel.svg
   :alt: SelfHostIndex health score for distilabel
   :target: https://selfhostindex.com/app/distilabel/

The score is recomputed on every nightly rebuild from public repository data — see how it is calculated.

Similar self-hosted ai apps