After five years of development, huggingface_hub has reached version 1.0, marking its maturity as a crucial Python package in the open machine learning space. This milestone release is significant for its breaking changes aimed at supporting the next decade of machine learning, with major updates including the transition to httpx for HTTP infrastructure and hf_xet for file transfers, replacing older systems. The library, initially a simple Git wrapper, has evolved into a robust infrastructure for sharing machine learning models and datasets, supporting over 200,000 dependent libraries and enabling access to millions of public models, datasets, and Spaces. It has played a transformative role in the AI community, simplifying the sharing and collaboration of machine learning resources and integrating with a wide array of third-party frameworks and libraries. The release also features a redesigned command-line interface and new capabilities like Model Context Protocol and tiny-agents for building AI agents, emphasizing its forward-looking approach. While ensuring backward compatibility with most libraries, the new version aims to streamline operations and enhance the user experience, setting the stage for future growth and innovation in the open-source machine learning ecosystem.