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scikit-learn is one of the most widely used tools in data science, counting over 200 million downloads every month. You may know it as the Python library, but behind the code there is a global community that develops, maintains, and sustains it for the benefit of all data scientists all over the…
Author: Stefanie Senger This blog post is a cross-post of a Probabl blog post and based on a talk given at EuroSciPy 2026 in Kraków (slides).
Scikit-learn 1.9 release is out, and it comes with solid improvements to many existing estimators, making them faster, more stable, handling missing values, adding GPU support… The release also enhances the estimator displays in notebooks, and introduces a callback mechanism that opens the door to…
Author: Lucy Liu Note: this blog post is a cross-post of a Quansight Labs blog post.
User experience (UX) has always been an important focus for scikit-learn. As we know, UX encompasses many aspects, but here we will focus specifically on how easy it is for the user to understand scikit-learn models during development, especially while using tools like jupyter notebooks.
BIO: Virgil Chan is currently a Forward Deployed Engineer - Pre-Sales at Union.ai. Before that, he worked as a consultant in the San Francisco Bay Area, specialising in predictive data analytics and machine learning. Earlier, he studied mathematics before moving into data science.
scikit-learn was honored to be selected to participate in Cohort 2 of the GitHub Secure Open Source Fund (OSF) Training Program. Cohort 1 took place earlier in 2025 with 19 projects, and Cohort 2 took place with 52 projects during June 2025.
This blog post has been submitted by Probabl, a sponsor of scikit-learn. The scikit-learn project values educational efforts that build and nurture a strong vibrant open-source community.
Historically, scikit-learn’s API has been divided into public and private. Public API is intended to be used by users, and private API is used internally in scikit-learn to develop new features and estimators.
We are excited to announce the launch of the scikit-learn user survey! Scikit-learn continues to evolve thanks to contributions from its diverse user community. As we plan for future releases, we want to ensure we are focusing on what matters most to you — our users.
We are delighted to announce that scikit-learn has been awarded a grant from the Chan Zuckerberg Initiative (CZI)’s Essential Open Source Software for Science (EOSS) program. This grant is funded by Wellcome Trust.
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