The release of distilabel 1.0.0 marks a significant advancement in data processing tools for Open Source AI. Developed by argilla_io, this new version enhances the flexibility, robustness, and power of data pipelines, specifically in the creation of synthetic datasets. It supports the construction of complex data processing pipelines integrated with Large Language Models (LLMs). The launch has been met with enthusiasm from the community, including users like ellamindAI and DiscoResearchAI, who anticipate the creation of high-quality datasets. Additionally, the integration of distilabel with platforms like the Huggingface Hub, which now features a new icon for datasets created using distilabel, underscores its growing importance in the AI data tool ecosystem.