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: https://github.com/probabl-ai/skore/
📘 Docs: https://skore.probabl.ai
📢 Discord: https://discord.probabl.ai
🔑 Sign up for beta access to our upcoming commercial offering: https://hello.probabl.ai/beta