Introducing skore

We are thrilled to introduce skore, the scikit-learn sidekick that makes recommended practices actionable.

Quick demo:

What is skore?

skore is a Python open-source library designed to help data scientists during model development. While scikit-learn sets the stage for scientific and engineering excellence, skore helps you find your path through the maze of experimentation.

Key Features:

• Diagnose – Catch methodological errors before they impact your models with smart alerts that analyze both code execution and data patterns in real-time.
• Evaluate – Uncover actionable insights through automated reports surfacing relevant metrics. Explore faster with our intelligent caching system.

Why skore?

Scikit-learn offers powerful machine learning tools, but achieving great results takes more than great tools. Skore closes this gap, providing the guidance you need to achieve excellence with scikit-learn.

Try skore now and join our growing community!

We’re excited to shape the future of Data Science and pre-MLOps—and this is just the beginning! Be among the first to explore skore’s upcoming commercial features.

• GitHub
• Docs
• Discord
• Sign up for beta access to our upcoming commercial offering