Scikit-learn powers machine learning for millions of data science practitioners, yet the story of the pulse and trajectory of the project is rarely told in one place. In this inaugural edition of the Annual Scikit-learn Ecosystem Report, Yann Lechelle presents a panoramic view of the ecosystem: the year's major technical achievements – including the 1.9 release with callbacks, ongoing Array API support, and scikit-learn central skills – alongside the
priorities shaping the year ahead. The report draws on interviews with core maintainers, contributors, and stakeholders across upstream and downstream libraries, and spotlights grants like the NASA ROSES award, strategic partnerships with NVIDIA and Intel, and three industry use cases. The session closes with a fireside chat with scikit-learn co-founder Gaël Varoquaux on the past, present, and future of open source machine learning.